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Citation Profile [Updated: 2024-05-13 08:04:26]
5 Years H Index
8
Impact Factor (IF)
0.27
5 Years IF
0.19
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2017 0 0.54 0.04 0 48 48 123 2 2 0 0 2 100 2 0.04 0.22
2018 0.31 0.56 0.27 0.31 76 124 149 33 35 48 15 48 15 25 75.8 16 0.21 0.24
2019 0.25 0.57 0.24 0.25 67 191 87 46 81 124 31 124 31 42 91.3 4 0.06 0.23
2020 0.29 0.69 0.37 0.32 47 238 71 87 168 143 41 191 62 52 59.8 2 0.04 0.33
2021 0.29 0.83 0.46 0.24 47 285 39 132 300 114 33 238 57 104 78.8 18 0.38 0.31
2022 0.39 0.9 0.57 0.29 56 341 35 195 495 94 37 285 82 149 76.4 17 0.3 0.27
2023 0.27 0.98 0.43 0.19 41 382 4 163 658 103 28 293 56 125 76.7 11 0.27 0.27
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12018Non-g residuals of group factors predict ability tilt, college majors, and jobs: A non-g nexus. (2018). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:67:y:2018:i:c:p:19-25.

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13
22018High intelligence: A risk factor for psychological and physiological overexcitabilities. (2018). Karpinski, Ruth I ; Borowski, Thomas B ; Tetreault, Nicole A ; Kinase, Audrey M. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:8-23.

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12
32017Spearmans law of diminishing returns. A meta-analysis. (2017). Holling, Heinz ; Blum, Diego. In: Intelligence. RePEc:eee:intell:v:65:y:2017:i:c:p:60-66.

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11
42018IQ decline and Piaget: Does the rot start at the top?. (2018). Flynn, James R ; Shayer, Michael. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:112-121.

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11
52018Sex differences in ability tilt in the right tail of cognitive abilities: A 35-year examination. (2018). Wai, Jonathan ; Makel, Matthew C ; Hodges, Jaret. In: Intelligence. RePEc:eee:intell:v:67:y:2018:i:c:p:76-83.

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10
62020Sex differences in tech tilt: Support for investment theories. (2020). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:80:y:2020:i:c:s0160289620300155.

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9
72021The future of intelligence: The role of specific abilities. (2021). Greiff, Samuel ; Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000337.

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9
82020Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory. (2020). Keith, Timothy Z ; Caemmerer, Jacqueline M ; Reynolds, Matthew R. In: Intelligence. RePEc:eee:intell:v:79:y:2020:i:c:s0160289620300118.

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9
92017Evaluating dimensional distinctness with correlated-factor models: Limitations and suggestions. (2017). Gignac, Gilles E ; Kretzschmar, Andre . In: Intelligence. RePEc:eee:intell:v:62:y:2017:i:c:p:138-147.

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8
102017‘Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions. (2017). Roets, Arne ; de Keersmaecker, Jonas. In: Intelligence. RePEc:eee:intell:v:65:y:2017:i:c:p:107-110.

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8
112019Tech tilt predicts jobs, college majors, and specific abilities: Support for investment theories. (2019). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:75:y:2019:i:c:p:33-40.

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8
122019Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?. (2019). Levine, Stephen Z ; An, H ; Kan, Kees-Jan. In: Intelligence. RePEc:eee:intell:v:73:y:2019:i:c:p:52-62.

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8
132017Brain volume and intelligence: The moderating role of intelligence measurement quality. (2017). Gignac, Gilles E ; Bates, Timothy C. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:18-29.

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8
142020Cognitive ability, cognitive self-awareness, and school performance: From childhood to adolescence. (2020). Kazi, Smaragda ; Demetriou, Andreas ; Spanoudis, George ; Makris, Nikolaos. In: Intelligence. RePEc:eee:intell:v:79:y:2020:i:c:s0160289620300106.

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8
152017Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study. (2017). Santarnecchi, Emiliano ; Pascual-Leone, Alvaro ; Emmendorfer, Alexandra . In: Intelligence. RePEc:eee:intell:v:63:y:2017:i:c:p:9-28.

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7
162018Intelligence in youth and health behaviours in middle age. (2018). Wraw, Christina ; Deary, Ian J ; Gale, Catharine R ; Der, Geoff. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:71-86.

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7
172018Retest effects in cognitive ability tests: A meta-analysis. (2018). Scharfen, Jana ; Holling, Heinz ; Peters, Judith Marie. In: Intelligence. RePEc:eee:intell:v:67:y:2018:i:c:p:44-66.

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7
182017Mapping the evolving core of intelligence: Changing relations between executive control, reasoning, language, and awareness. (2017). Makris, Nikolaos ; Spanoudis, George ; Demetriou, Andreas ; Tachmatzidis, Dimitrios . In: Intelligence. RePEc:eee:intell:v:62:y:2017:i:c:p:12-30.

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7
192017The Flynn effect for verbal and visuospatial short-term and working memory: A cross-temporal meta-analysis. (2017). Wongupparaj, Peera ; Morris, Robin G ; Kumari, Veena. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:71-80.

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7
202018FLynn-effect and economic growth: Do national increases in intelligence lead to increases in GDP?. (2018). Rindermann, Heiner ; Becker, David. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:87-93.

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7
212018Low IQ as a predictor of unsuccessful educational and occupational achievement: A register-based study of 1,098,742 men in Denmark 1968–2016. (2018). Hegelund, Emilie Rune ; Mortensen, Erik Lykke ; Dammeyer, Jesper ; Flensborg-Madsen, Trine . In: Intelligence. RePEc:eee:intell:v:71:y:2018:i:c:p:46-53.

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7
222019Why are smarter individuals more prosocial? A study on the mediating roles of empathy and moral identity. (2019). Sun, Peng ; Guo, Qingke ; Song, Kexin ; Zhang, Xiling ; Cai, Minghang. In: Intelligence. RePEc:eee:intell:v:75:y:2019:i:c:p:1-8.

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7
232017Intelligence in childhood and creative achievements in middle-age: The necessary condition approach. (2017). Karwowski, Maciej ; Firkowska-Mankiewicz, Anna ; Szumski, Grzegorz ; Lebuda, Izabela ; Kaufman, James C. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:36-44.

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6
242018Why do angry people overestimate their intelligence? Neuroticism as a suppressor of the association between Trait-Anger and subjectively assessed intelligence. (2018). Zajenkowski, Marcin ; Gignac, Gilles E. In: Intelligence. RePEc:eee:intell:v:70:y:2018:i:c:p:12-21.

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6
252020Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection. (2020). Traczyk, Jakub ; Olszewska, Angelika ; Sobkow, Agata. In: Intelligence. RePEc:eee:intell:v:80:y:2020:i:c:s0160289620300301.

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6
262018Regional Differences in Intelligence in 22 Countries and their Economic, Social and Demographic Correlates: A Review. (2018). Lynn, Richard ; Fuerst, John. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:24-36.

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6
272017Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition: What does it measure?. (2017). Reynolds, Matthew R ; Keith, Timothy Z. In: Intelligence. RePEc:eee:intell:v:62:y:2017:i:c:p:31-47.

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5
282019Structural brain imaging correlates of general intelligence in UK Biobank. (2019). Tucker-Drob, E M ; Deary, I J ; Ritchie, S J ; Cox, S R ; Fawns-Ritchie, C. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:9.

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5
292018Mental rotation and fluid intelligence: A brain potential analysis. (2018). Varriale, Vincenzo ; de Pascalis, Vilfredo ; van der Molen, Maurits W. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:146-157.

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5
302017Sex differences in brain size and general intelligence (g). (2017). van der Linden, Dimitri ; Madison, Guy ; Dunkel, Curtis S. In: Intelligence. RePEc:eee:intell:v:63:y:2017:i:c:p:78-88.

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5
312020A population level analysis of the gender gap in mathematics: Results on over 13 million children using the INVALSI dataset. (2020). Toffalini, E ; Martini, A ; Cornoldi, C ; Giofre, D. In: Intelligence. RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300453.

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5
322019A meta-analysis of the worst performance rule. (2019). Schubert, Anna-Lena. In: Intelligence. RePEc:eee:intell:v:73:y:2019:i:c:p:88-100.

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5
332022Cognitive reflection, cognitive intelligence, and cognitive abilities: A meta-analysis. (2022). Moscoso, Silvia ; Salgado, Jesus F ; Otero, Inmaculada. In: Intelligence. RePEc:eee:intell:v:90:y:2022:i:c:s0160289621000982.

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5
342017General intelligence in friendship selection: A study of preadolescent best friend dyads. (2017). Boutwell, Brian B ; Petkovsek, Melissa A ; Meldrum, Ryan C. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:30-35.

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5
352021To predict the future, consider the past: Revisiting Carroll (1993) as a guide to the future of intelligence research. (2021). Kyllonen, Patrick ; Wilhelm, Oliver. In: Intelligence. RePEc:eee:intell:v:89:y:2021:i:c:s0160289621000696.

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5
362018The strong link between fluid intelligence and working memory cannot be explained away by strategy use. (2018). Jastrzbski, Jan ; Chuderski, Adam ; Ciechanowska, Iwona. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:44-53.

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5
372019Predicting school performance from cognitive ability, self-representation, and personality from primary school to senior high school. (2019). Kazi, Smaragda ; Demetriou, Andreas ; Spanoudis, George ; Makris, Nikolaos . In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:7.

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5
382017Estimating the dimensionality of intelligence like data using Exploratory Graph Analysis. (2017). Golino, Hudson F ; Demetriou, Andreas . In: Intelligence. RePEc:eee:intell:v:62:y:2017:i:c:p:54-70.

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5
392019Predicting school performance from cognitive ability, self-representation, and personality from primary school to senior high school. (2019). Kazi, Smaragda ; Demetriou, Andreas ; Makris, Nikolaos ; Spanoudis, George. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:s0160289619300820.

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5
402018Curvilinear dependency of response accuracy on response time in cognitive tests. (2018). Chen, Haiqin ; Waldschmidt, David ; Yang, Chien-Lin ; Grady, Matthew ; de Boeck, Paul. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:16-23.

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5
412019People tend to overestimate their romantic partners intelligence even more than their own. (2019). Zajenkowski, Marcin ; Gignac, Gilles E. In: Intelligence. RePEc:eee:intell:v:73:y:2019:i:c:p:41-51.

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5
422019Creative ideation, broad retrieval ability, and processing speed: A confirmatory study of nested cognitive abilities. (2019). Jendryczko, David ; Forthmann, Boris ; Holling, Heinz ; Benedek, Mathias ; Kleinkorres, Ruben ; Scharfen, Jana. In: Intelligence. RePEc:eee:intell:v:75:y:2019:i:c:p:59-72.

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5
432019Structural brain imaging correlates of general intelligence in UK Biobank. (2019). Ritchie, S J ; Cox, S R ; Deary, I J ; Tucker-Drob, E M ; Fawns-Ritchie, C. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:s0160289619300789.

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5
442020The Flynn effect can become embedded in tests: How cross-sectional age norms can corrupt longitudinal research. (2020). Rodgers, Joseph Lee ; O'Keefe, Patrick. In: Intelligence. RePEc:eee:intell:v:82:y:2020:i:c:s0160289620300593.

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4
452020A meta-analysis of the correlations among broad intelligences: Understanding their relations. (2020). Mayer, John D ; Bryan, Victoria M. In: Intelligence. RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300477.

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4
462018Speeded testing in the assessment of intelligence gives rise to a speed factor. (2018). Ren, Xuezhu ; Schweizer, Karl ; Deng, MI ; Sun, Sumin ; Wang, Tengfei. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:64-71.

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4
472018Some people are attracted sexually to intelligence: A psychometric evaluation of sapiosexuality. (2018). Gignac, Gilles E ; Ooi, Michelle ; Darbyshire, Joey. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:98-111.

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4
482021No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge. (2021). Besanon, Maud ; Gregoire, Jacques ; Gonthier, Corentin. In: Intelligence. RePEc:eee:intell:v:84:y:2021:i:c:s0160289620300908.

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4
492017The interplay of g and mathematical abilities in large-scale assessments across grades. (2017). Sass, Steffani ; Koller, Olaf ; Kampa, Nele . In: Intelligence. RePEc:eee:intell:v:63:y:2017:i:c:p:33-44.

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4
502018Delta-gamma coupling as a potential neurophysiological mechanism of fluid intelligence. (2018). Ggol, A ; Chuderski, A ; Santarnecchi, E ; Ociepka, M ; Kaamaa, P ; Kroczek, B ; Magnuski, M. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:54-63.

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4
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12017Spearmans law of diminishing returns. A meta-analysis. (2017). Holling, Heinz ; Blum, Diego. In: Intelligence. RePEc:eee:intell:v:65:y:2017:i:c:p:60-66.

Full description at Econpapers || Download paper

10
22021The future of intelligence: The role of specific abilities. (2021). Greiff, Samuel ; Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000337.

Full description at Econpapers || Download paper

8
32020Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory. (2020). Keith, Timothy Z ; Caemmerer, Jacqueline M ; Reynolds, Matthew R. In: Intelligence. RePEc:eee:intell:v:79:y:2020:i:c:s0160289620300118.

Full description at Econpapers || Download paper

7
42020Sex differences in tech tilt: Support for investment theories. (2020). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:80:y:2020:i:c:s0160289620300155.

Full description at Econpapers || Download paper

7
52018FLynn-effect and economic growth: Do national increases in intelligence lead to increases in GDP?. (2018). Rindermann, Heiner ; Becker, David. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:87-93.

Full description at Econpapers || Download paper

7
62018Sex differences in ability tilt in the right tail of cognitive abilities: A 35-year examination. (2018). Wai, Jonathan ; Makel, Matthew C ; Hodges, Jaret. In: Intelligence. RePEc:eee:intell:v:67:y:2018:i:c:p:76-83.

Full description at Econpapers || Download paper

6
72018Non-g residuals of group factors predict ability tilt, college majors, and jobs: A non-g nexus. (2018). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:67:y:2018:i:c:p:19-25.

Full description at Econpapers || Download paper

6
82020Cognitive ability, cognitive self-awareness, and school performance: From childhood to adolescence. (2020). Kazi, Smaragda ; Demetriou, Andreas ; Spanoudis, George ; Makris, Nikolaos. In: Intelligence. RePEc:eee:intell:v:79:y:2020:i:c:s0160289620300106.

Full description at Econpapers || Download paper

5
92019Tech tilt predicts jobs, college majors, and specific abilities: Support for investment theories. (2019). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:75:y:2019:i:c:p:33-40.

Full description at Econpapers || Download paper

5
102018Curvilinear dependency of response accuracy on response time in cognitive tests. (2018). Chen, Haiqin ; Waldschmidt, David ; Yang, Chien-Lin ; Grady, Matthew ; de Boeck, Paul. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:16-23.

Full description at Econpapers || Download paper

5
112022Cognitive reflection, cognitive intelligence, and cognitive abilities: A meta-analysis. (2022). Moscoso, Silvia ; Salgado, Jesus F ; Otero, Inmaculada. In: Intelligence. RePEc:eee:intell:v:90:y:2022:i:c:s0160289621000982.

Full description at Econpapers || Download paper

5
122018High intelligence: A risk factor for psychological and physiological overexcitabilities. (2018). Karpinski, Ruth I ; Borowski, Thomas B ; Tetreault, Nicole A ; Kinase, Audrey M. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:8-23.

Full description at Econpapers || Download paper

5
132020A population level analysis of the gender gap in mathematics: Results on over 13 million children using the INVALSI dataset. (2020). Toffalini, E ; Martini, A ; Cornoldi, C ; Giofre, D. In: Intelligence. RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300453.

Full description at Econpapers || Download paper

5
142019Structural brain imaging correlates of general intelligence in UK Biobank. (2019). Ritchie, S J ; Cox, S R ; Deary, I J ; Tucker-Drob, E M ; Fawns-Ritchie, C. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:s0160289619300789.

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4
152021To predict the future, consider the past: Revisiting Carroll (1993) as a guide to the future of intelligence research. (2021). Kyllonen, Patrick ; Wilhelm, Oliver. In: Intelligence. RePEc:eee:intell:v:89:y:2021:i:c:s0160289621000696.

Full description at Econpapers || Download paper

4
162019Structural brain imaging correlates of general intelligence in UK Biobank. (2019). Tucker-Drob, E M ; Deary, I J ; Ritchie, S J ; Cox, S R ; Fawns-Ritchie, C. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:9.

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4
172017The Flynn effect for verbal and visuospatial short-term and working memory: A cross-temporal meta-analysis. (2017). Wongupparaj, Peera ; Morris, Robin G ; Kumari, Veena. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:71-80.

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4
182022Thirty years of research on general and specific abilities: Still not much more than g. (2022). Carretta, Thomas R ; Ree, Malcolm James . In: Intelligence. RePEc:eee:intell:v:91:y:2022:i:c:s016028962100101x.

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4
192021No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge. (2021). Besanon, Maud ; Gregoire, Jacques ; Gonthier, Corentin. In: Intelligence. RePEc:eee:intell:v:84:y:2021:i:c:s0160289620300908.

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4
202021Socioeconomic inequality and regional disparities in educational achievement: The role of relative poverty. (2021). Daniele, Vittorio. In: Intelligence. RePEc:eee:intell:v:84:y:2021:i:c:s0160289620300933.

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4
212018IQ decline and Piaget: Does the rot start at the top?. (2018). Flynn, James R ; Shayer, Michael. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:112-121.

Full description at Econpapers || Download paper

4
222018Intelligence in youth and health behaviours in middle age. (2018). Wraw, Christina ; Deary, Ian J ; Gale, Catharine R ; Der, Geoff. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:71-86.

Full description at Econpapers || Download paper

4
232018Stability of intelligence from infancy through adolescence: An autoregressive latent variable model. (2018). Yu, Huihui ; Gottfried, Adele Eskeles ; McCoach, Betsy D. In: Intelligence. RePEc:eee:intell:v:69:y:2018:i:c:p:8-15.

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4
242017Brain volume and intelligence: The moderating role of intelligence measurement quality. (2017). Gignac, Gilles E ; Bates, Timothy C. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:18-29.

Full description at Econpapers || Download paper

3
252017Dissecting the parieto-frontal correlates of fluid intelligence: A comprehensive ALE meta-analysis study. (2017). Santarnecchi, Emiliano ; Pascual-Leone, Alvaro ; Emmendorfer, Alexandra . In: Intelligence. RePEc:eee:intell:v:63:y:2017:i:c:p:9-28.

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3
262018The strong link between fluid intelligence and working memory cannot be explained away by strategy use. (2018). Jastrzbski, Jan ; Chuderski, Adam ; Ciechanowska, Iwona. In: Intelligence. RePEc:eee:intell:v:66:y:2018:i:c:p:44-53.

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3
272019Lumpers vs. splitters: Intelligence in children with specific learning disorders. (2019). Pastore, Massimiliano ; Giofre, David ; Toffalini, Enrico ; Cornoldi, Cesare . In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:s0160289618302289.

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3
282020The Flynn effect can become embedded in tests: How cross-sectional age norms can corrupt longitudinal research. (2020). Rodgers, Joseph Lee ; O'Keefe, Patrick. In: Intelligence. RePEc:eee:intell:v:82:y:2020:i:c:s0160289620300593.

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3
292022A randomness perspective on intelligence processes. (2022). Partchev, Ivailo ; de Boeck, Paul ; Kang, Inhan. In: Intelligence. RePEc:eee:intell:v:91:y:2022:i:c:s0160289622000137.

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3
302021Genetic and environmental contributions to IQ in adoptive and biological families with 30-year-old offspring. (2021). Lee, James J ; Iacono, William G ; McGue, Matt ; Willoughby, Emily A. In: Intelligence. RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000635.

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3
312021White-Black differences in tech tilt: Support for Spearmans law and investment theories. (2021). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:84:y:2021:i:c:s0160289620300829.

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322022Processing speed mediates the development of tech tilt and academic tilt in adolescence. (2022). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000290.

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332018Low IQ as a predictor of unsuccessful educational and occupational achievement: A register-based study of 1,098,742 men in Denmark 1968–2016. (2018). Hegelund, Emilie Rune ; Mortensen, Erik Lykke ; Dammeyer, Jesper ; Flensborg-Madsen, Trine . In: Intelligence. RePEc:eee:intell:v:71:y:2018:i:c:p:46-53.

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342019A meta-analysis of the worst performance rule. (2019). Schubert, Anna-Lena. In: Intelligence. RePEc:eee:intell:v:73:y:2019:i:c:p:88-100.

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352020A meta-analysis of the correlations among broad intelligences: Understanding their relations. (2020). Mayer, John D ; Bryan, Victoria M. In: Intelligence. RePEc:eee:intell:v:81:y:2020:i:c:s0160289620300477.

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362019Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?. (2019). Levine, Stephen Z ; An, H ; Kan, Kees-Jan. In: Intelligence. RePEc:eee:intell:v:73:y:2019:i:c:p:52-62.

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372017Intelligence in childhood and creative achievements in middle-age: The necessary condition approach. (2017). Karwowski, Maciej ; Firkowska-Mankiewicz, Anna ; Szumski, Grzegorz ; Lebuda, Izabela ; Kaufman, James C. In: Intelligence. RePEc:eee:intell:v:64:y:2017:i:c:p:36-44.

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382017Sex differences in brain size and general intelligence (g). (2017). van der Linden, Dimitri ; Madison, Guy ; Dunkel, Curtis S. In: Intelligence. RePEc:eee:intell:v:63:y:2017:i:c:p:78-88.

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392022General or specific abilities? Evidence from 33 countries participating in the PISA assessments. (2022). Greiff, Samuel ; Koc, Piotr ; Borgonovi, Francesca ; Marks, Gary N ; Pokropek, Artur. In: Intelligence. RePEc:eee:intell:v:92:y:2022:i:c:s0160289622000344.

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402019Declines in vocabulary among American adults within levels of educational attainment, 1974–2016. (2019). Sherman, Ryne A ; Campbell, Keith W ; Twenge, Jean M. In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:s0160289618302198.

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412022Differentiation of general and specific abilities in intelligence. A bifactor study of age and gender differentiation in 8- to 19-year-olds. (2022). Cona, Giorgia ; Feraco, Tommaso. In: Intelligence. RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000502.

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422019Differentiating between static and complex problems: A theoretical framework and its empirical validation. (2019). Greiff, Samuel ; Niepel, Christoph ; Stadler, Matthias. In: Intelligence. RePEc:eee:intell:v:72:y:2019:i:c:p:1-12.

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432022International differences in math and science tilts: The stability, geography, and predictive power of tilt for economic criteria. (2022). Rindermann, Heiner ; Minnigh, Tyler L ; Coyle, Thomas R ; Becker, David. In: Intelligence. RePEc:eee:intell:v:92:y:2022:i:c:s0160289622000277.

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442020Multiple numeric competencies predict decision outcomes beyond fluid intelligence and cognitive reflection. (2020). Traczyk, Jakub ; Olszewska, Angelika ; Sobkow, Agata. In: Intelligence. RePEc:eee:intell:v:80:y:2020:i:c:s0160289620300301.

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452019Lumpers vs. splitters: Intelligence in children with specific learning disorders. (2019). Toffalini, Enrico ; Cornoldi, Cesare ; Giofre, David ; Pastore, Massimiliano . In: Intelligence. RePEc:eee:intell:v:76:y:2019:i:c:6.

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462021Temporal stability of specific ability scores and intelligence profiles in high ability students. (2021). Preckel, Franzis ; Scherrer, Vsevolod ; Breit, Moritz. In: Intelligence. RePEc:eee:intell:v:86:y:2021:i:c:s0160289621000222.

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472019Working memory capacity and strategy use on the RAPM. (2019). Wiley, Jennifer ; Raden, Megan J ; Jarosz, Andrew F. In: Intelligence. RePEc:eee:intell:v:77:y:2019:i:c:s0160289619301692.

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482021The Flynn effect in Germanophone preschoolers (1996–2018): Small effects, erratic directions, and questionable interpretations. (2021). Kastner-Koller, Ursula ; Hirschmann, Nicole ; Deimann, Pia ; Pietschnig, Jakob. In: Intelligence. RePEc:eee:intell:v:86:y:2021:i:c:s0160289621000283.

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492021The future of intelligence: The central meaning-making unit of intelligence in the mind, the brain, and artificial intelligence. (2021). Demetriou, Andreas ; Golino, Hudson ; Makris, Nikolaos ; Spanoudis, George ; Greiff, Samuel. In: Intelligence. RePEc:eee:intell:v:87:y:2021:i:c:s0160289621000465.

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502017‘Fake news’: Incorrect, but hard to correct. The role of cognitive ability on the impact of false information on social impressions. (2017). Roets, Arne ; de Keersmaecker, Jonas. In: Intelligence. RePEc:eee:intell:v:65:y:2017:i:c:p:107-110.

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Citing documents used to compute impact factor: 28
YearTitle
2023Ongoing trends of human intelligence. (2023). Lynn, Richard ; Meisenberg, Gerhard. In: Intelligence. RePEc:eee:intell:v:96:y:2023:i:c:s0160289622000897.

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2023No silver bullet: Cognitive technology does not lead to novelty in all firms. (2023). Ford, Jerad A ; Brea, Edgar. In: Technovation. RePEc:eee:techno:v:122:y:2023:i:c:s0166497222001948.

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2023Carbon is to life as g is to _____: A review of the contributions to the special issue on specific abilities in intelligence. (2023). Greiff, Samuel ; Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000673.

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2023Is Good Character All that Counts? A Comparison Between the Predictive Role of Specific Strengths and a General Factor of “Good Character” Using a Bifactor Model. (2023). Casali, Nicole ; Feraco, Tommaso ; Cona, Giorgia ; Greiff, Samuel ; Meneghetti, Chiara. In: Journal of Happiness Studies. RePEc:spr:jhappi:v:24:y:2023:i:7:d:10.1007_s10902-023-00686-8.

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2023Sex differences in tech tilt and academic tilt in adolescence: Processing speed mediates age-tilt relations. (2023). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:100:y:2023:i:c:s0160289623000648.

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2023On the Origins of Socio-Economic Inequalities: Evidence from Twin Families. (2023). Tatsiramos, Konstantinos ; Cappellari, Lorenzo ; Bingley, Paul. In: IZA Discussion Papers. RePEc:iza:izadps:dp16520.

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2023(Not just) Intelligence stratifies the occupational hierarchy: Ranking 360 professions by IQ and non-cognitive traits. (2023). Wolfram, Tobias. In: Intelligence. RePEc:eee:intell:v:98:y:2023:i:c:s0160289623000363.

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2023Bus Bunching and Bus Bridging: What Can We Learn from Generative AI Tools like ChatGPT?. (2023). Voss, Stefan. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:12:p:9625-:d:1171940.

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2023Finance and intelligence: An overview of the literature. (2023). EBER, Nicolas ; Roger, Tristan. In: Post-Print. RePEc:hal:journl:hal-04243115.

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2023The association between intelligence and financial literacy: A conceptual and meta-analytic review. (2023). Gignac, Gilles E ; Walker, Dana L ; Gerrans, Paul ; Callis, Zoe. In: Intelligence. RePEc:eee:intell:v:100:y:2023:i:c:s0160289623000624.

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2023Using a multi-strategy eye-tracking psychometric model to measure intelligence and identify cognitive strategy in Ravens advanced progressive matrices. (2023). Luo, Yikun ; Man, Kaiwen ; Chen, Qipeng ; Fu, Yanbin ; Zhan, Peida ; Liu, Yaohui. In: Intelligence. RePEc:eee:intell:v:100:y:2023:i:c:s0160289623000636.

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2023A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data. (2023). Ratcliff, Roger ; Molenaar, Dylan ; Kang, Inhan. In: Psychometrika. RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09902-z.

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2023Incorporating Functional Response Time Effects into a Signal Detection Theory Model. (2023). Benjamin, Aaron ; On, SI ; Naveiras, Matthew ; de Boeck, Paul ; Brown-Schmidt, Sarah ; Cho, Sun-Joo. In: Psychometrika. RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09906-9.

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2023A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times. (2023). Partchev, Ivailo ; Jeon, Minjeong ; Kang, Inhan. In: Psychometrika. RePEc:spr:psycho:v:88:y:2023:i:3:d:10.1007_s11336-023-09920-x.

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2023Eleven articles and 27 authors pay tribute to James Flynn: A summary and critique of special issue articles on the Flynn effect. (2023). Rodgers, Joseph Lee. In: Intelligence. RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000752.

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2023Predicting cross-national sex differences in large-scale assessments of students reading literacy, mathematics, and science achievement: Evidence from PIRLS and TIMSS. (2023). Pietschnig, Jakob ; Steininger, Benedikt ; Schock, Laura S ; Fries, Jonathan ; Oberleiter, Sandra. In: Intelligence. RePEc:eee:intell:v:100:y:2023:i:c:s016028962300065x.

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2023General intelligence in middle school students from different Russian regions: Results of PISA-like tests. (2023). Kovaleva, Galina ; Kolachev, Nikita. In: Intelligence. RePEc:eee:intell:v:98:y:2023:i:c:s0160289623000375.

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2023Bilingualism and intelligence in children exposed to poverty environments: A Ravens error pattern analysis using a generalized propensity score method. (2023). Mejalenko, Juan ; Laborda, Leopoldo ; Gomez-Veiga, Isabel. In: Intelligence. RePEc:eee:intell:v:98:y:2023:i:c:s0160289623000399.

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2023The association between saving disposition and financial distress: A genetically informed approach. (2023). Willoughby, Emily A ; Giannelis, Alexandros ; Lee, James J ; McGue, Matt ; Vrieze, Scott I ; Rustichini, Aldo ; Anderson, Jacob ; Iacono, William G ; Hewitt, John K ; Hopfer, Christian ; Corley, Robin. In: Journal of Economic Psychology. RePEc:eee:joepsy:v:96:y:2023:i:c:s0167487023000119.

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2023Remember this: Age moderation of genetic and environmental contributions to verbal episodic memory from midlife through late adulthood. (2023). Pedersen, Nancy L ; Panizzon, Matthew S ; Whitfield, Keith E ; Reynolds, Chandra A ; Plassman, Brenda L ; Pilgrim, Matthew ; Nygaard, Marianne ; Lynch, Morgan ; McGue, Matt ; Pahlen, Shandell ; Lee, Teresa ; Beam, Christopher R ; Kremen, William S ; Luczak, Susan E ; Franz, Carol E ; Finkel, Deborah ; Christensen, Kaare ; Gatz, Margaret ; Catts, Vibeke S. In: Intelligence. RePEc:eee:intell:v:99:y:2023:i:c:s0160289623000405.

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2023.

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2023Reframing the clouded scientific spectacles of the Flynn effect: A view through two lenses. (2023). Rodgers, Joseph Lee ; Wanstrom, Linda ; O'Keefe, Patrick. In: Intelligence. RePEc:eee:intell:v:97:y:2023:i:c:s0160289623000168.

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2023Opinions on intelligence: An Arab perspective. (2023). Dutton, Edward ; Sayed, Yossry Ahmed ; Elmenfi, Fadil ; Gadour, Abdelbasit ; Alshahomee, Alsedig Abdalgadr ; Bakhiet, Salaheldin Farah ; Becker, David. In: Intelligence. RePEc:eee:intell:v:97:y:2023:i:c:s0160289623000120.

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2023The association between intelligence and face processing abilities: A conceptual and meta-analytic review. (2023). Gignac, Gilles E ; Callis, Zoe ; Palermo, Romina ; Walker, Dana L. In: Intelligence. RePEc:eee:intell:v:96:y:2023:i:c:s016028962200099x.

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2023The relationship of divergent thinking with broad retrieval ability and processing speed: A meta-analysis. (2023). Forthmann, Boris ; Miroshnik, Kirill G ; Benedek, Mathias ; Karwowski, Maciej. In: Intelligence. RePEc:eee:intell:v:98:y:2023:i:c:s016028962300020x.

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2023Cognitive ability and creativity: Typology contributions and a meta-analytic review. (2023). Kepes, Sven ; Serban, Andra ; Baldwin, Robert ; Wang, Wenhao. In: Intelligence. RePEc:eee:intell:v:98:y:2023:i:c:s0160289623000387.

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2023The ten-million-year explosion: Paleocognitive reconstructions of domain-general cognitive ability (G) in extinct primates. (2023). Miller, Geoffrey F ; Woodley, Michael A ; Sarraf, Matthew A ; Peaherrera-Aguirre, Mateo. In: Intelligence. RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000764.

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Recent citations
Recent citations received in 2023

YearCiting document
2023The association between intelligence and financial literacy: A conceptual and meta-analytic review. (2023). Gignac, Gilles E ; Walker, Dana L ; Gerrans, Paul ; Callis, Zoe. In: Intelligence. RePEc:eee:intell:v:100:y:2023:i:c:s0160289623000624.

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2023Carbon is to life as g is to _____: A review of the contributions to the special issue on specific abilities in intelligence. (2023). Greiff, Samuel ; Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000673.

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2023Eleven articles and 27 authors pay tribute to James Flynn: A summary and critique of special issue articles on the Flynn effect. (2023). Rodgers, Joseph Lee. In: Intelligence. RePEc:eee:intell:v:101:y:2023:i:c:s0160289623000752.

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2023.

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2023An Analysis of Factors Influencing Chinese University Students’ Major Choice from the Perspective of Gender Differences. (2023). Xu, Junwei ; Huo, Xinxin ; Miralles-Cardona, Cristina ; Duan, Ruiqi ; Xiang, Futao. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:18:p:14037-:d:1245117.

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Recent citations received in 2022

YearCiting document
2022The ups and downs of intelligence: The co-occurrence model and its associated research program. (2022). Egeland, Jonathan. In: Intelligence. RePEc:eee:intell:v:92:y:2022:i:c:s0160289622000241.

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2022The biological basis of intelligence: Benchmark findings. (2022). Troche, Stefan ; Spinath, Frank M ; Schubert, Anna-Lena ; Hilger, Kirsten. In: Intelligence. RePEc:eee:intell:v:93:y:2022:i:c:s0160289622000460.

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2022Smart people know how the economy works: Cognitive ability, economic knowledge and financial literacy. (2022). Bates, Timothy C ; Lin, Chien-An. In: Intelligence. RePEc:eee:intell:v:93:y:2022:i:c:s0160289622000484.

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2022Can a Neandertal meditate? An evolutionary view of attention as a core component of general intelligence. (2022). Bruner, Emiliano ; Colom, Roberto. In: Intelligence. RePEc:eee:intell:v:93:y:2022:i:c:s0160289622000496.

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2022Differentiation of general and specific abilities in intelligence. A bifactor study of age and gender differentiation in 8- to 19-year-olds. (2022). Cona, Giorgia ; Feraco, Tommaso. In: Intelligence. RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000502.

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2022Process-oriented intelligence research: A review from the cognitive perspective. (2022). Frischkorn, Gidon T ; Oberauer, Klaus ; Wilhelm, Oliver. In: Intelligence. RePEc:eee:intell:v:94:y:2022:i:c:s0160289622000629.

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2022gs little helpers – VOTAT and NOTAT mediate the relation between intelligence and complex problem solving. (2022). Sparfeldt, Jorn R ; Greiff, Samuel ; Scherer, Ronny ; Lotz, Christin. In: Intelligence. RePEc:eee:intell:v:95:y:2022:i:c:s0160289622000666.

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2022Sex differences in spatial and mechanical tilt: Support for investment theories. (2022). Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:95:y:2022:i:c:s016028962200068x.

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2022(No) Trade-off between numeracy and verbal reasoning development: PISA evidence from Italys academic tracking. (2022). Zullo, Matteo. In: Intelligence. RePEc:eee:intell:v:95:y:2022:i:c:s0160289622000848.

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2022Analytic thinking outruns fluid reasoning in explaining rejection of pseudoscience, paranormal, and conspiracist beliefs. (2022). Chuderski, Adam ; Jastrzbski, Jan. In: Intelligence. RePEc:eee:intell:v:95:y:2022:i:c:s0160289622000861.

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2022Domain-specificity of Flynn effects in the CHC-model: Stratum II test score changes in Germanophone samples (1996–2018). (2022). Pietschnig, Jakob ; Vetter, Marco ; Lazaridis, Alexandros. In: Intelligence. RePEc:eee:intell:v:95:y:2022:i:c:s0160289622000885.

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2022Reflective thinking predicts lower conspiracy beliefs: A meta-analysis. (2022). Alper, Sinan ; Madan, Ecesu ; Yelbuz, Bra Elif. In: Judgment and Decision Making. RePEc:jdm:journl:v:17:y:2022:i:4:p:720-744.

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2022Intertemporal consumption and debt aversion: a replication and extension. (2022). Meissner, Thomas ; Bosch-Rosa, Ciril ; Ahrens, Steffen. In: Journal of the Economic Science Association. RePEc:spr:jesaex:v:8:y:2022:i:1:d:10.1007_s40881-022-00118-y.

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Recent citations received in 2021

YearCiting document
2021MANAGEMENT OF OPEN SOURCE INFORMATION IN THE MANAGEMENT OF CURRENT CYBER THREATS AND WAYS TO FIGHT FRAUD AT FINANCIAL COMPANIES. (2021). Ivan, Lucian ; Badele, Cosmin Sandu . In: Internal Auditing and Risk Management. RePEc:ath:journl:v:62s:y:2021:i:2:p:9-19.

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2021The future of intelligence: The central meaning-making unit of intelligence in the mind, the brain, and artificial intelligence. (2021). Demetriou, Andreas ; Golino, Hudson ; Makris, Nikolaos ; Spanoudis, George ; Greiff, Samuel. In: Intelligence. RePEc:eee:intell:v:87:y:2021:i:c:s0160289621000465.

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2021The future of intelligence research in the coming age of artificial intelligence – With a special consideration of the philosophical movements of trans- and posthumanism. (2021). Neubauer, Aljoscha C. In: Intelligence. RePEc:eee:intell:v:87:y:2021:i:c:s0160289621000477.

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2021The future of intelligence: The role of specific abilities. (2021). Greiff, Samuel ; Coyle, Thomas R. In: Intelligence. RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000337.

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2021Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence. (2021). Schubert, Anna-Lena ; Euler, Matthew J. In: Intelligence. RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000532.

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2021Are we thinking big enough about the road ahead? Overview of the special issue on the future of intelligence research. (2021). Haier, Richard J. In: Intelligence. RePEc:eee:intell:v:89:y:2021:i:c:s0160289621000878.

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2021Executive Function and Metacognition: Relations and Measure on High Intellectual Ability and Typical Schoolchildren. (2021). Urraca-Martinez, Luz M ; Sastre-Riba, Sylvia ; Viana-Saenz, Lourdes. In: Sustainability. RePEc:gam:jsusta:v:13:y:2021:i:23:p:13083-:d:688344.

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Recent citations received in 2020

YearCiting document
2020Influence of Contextual Variables on Educational Performance: A Study Using Hierarchical Segmentation Trees. (2020). Torres-Gordillo, Juan-Jesus ; Rodriguez-Santero, Javier ; Garcia-Jimenez, Jesus. In: Sustainability. RePEc:gam:jsusta:v:12:y:2020:i:23:p:9933-:d:452331.

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2020A reflection on cognitive reflection – testing convergent/divergent validity of two measures of cognitive reflection. (2020). Ia, Mitja Ruoja ; Galia, Zvonimir ; Erceg, Nikola. In: Judgment and Decision Making. RePEc:jdm:journl:v:15:y:2020:i:5:p:741-755.

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