Scott Vrieze

27.5k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

Scott Vrieze is a scholar working on Genetics, Clinical Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Scott Vrieze has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 15 papers in Clinical Psychology and 14 papers in Experimental and Cognitive Psychology. Recurrent topics in Scott Vrieze's work include Genetic Associations and Epidemiology (25 papers), Cognitive Abilities and Testing (11 papers) and Child and Adolescent Psychosocial and Emotional Development (10 papers). Scott Vrieze is often cited by papers focused on Genetic Associations and Epidemiology (25 papers), Cognitive Abilities and Testing (11 papers) and Child and Adolescent Psychosocial and Emotional Development (10 papers). Scott Vrieze collaborates with scholars based in United States, Finland and Netherlands. Scott Vrieze's co-authors include William G. Iacono, Matt McGue, Stephen M. Malone, William M. Grove, Brian M. Hicks, Uma Vaidyanathan, Michael B. Miller, Sylia Wilson, Gonçalo R. Abecasis and Matthew C. Keller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Scott Vrieze

57 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

2012 1.3k citations Scott Vrieze Psychological Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Scott Vrieze United States	20	492	374	329	263	260	61	2.4k
Daniel J. Stekhoven Switzerland	13	272 0.6×	311 0.8×	231 0.7×	130 0.5×	352 1.4×	26	4.4k
Jennifer J. Ware United Kingdom	19	235 0.5×	160 0.4×	305 0.9×	428 1.6×	131 0.5×	34	3.2k
Dimitris Rizopoulos Netherlands	43	615 1.3×	341 0.9×	260 0.8×	196 0.7×	1.1k 4.2×	225	7.4k
Amy E. Taylor United Kingdom	35	1.2k 2.3×	441 1.2×	384 1.2×	180 0.7×	513 2.0×	95	6.1k
Gökmen Zararsız Türkiye	27	237 0.5×	285 0.8×	126 0.4×	150 0.6×	438 1.7×	164	3.4k
Ulf Olsson Sweden	27	183 0.4×	224 0.6×	248 0.8×	115 0.4×	208 0.8×	112	3.2k
Paul Redmond United Kingdom	32	332 0.7×	139 0.4×	218 0.7×	470 1.8×	281 1.1×	101	3.8k
Harold S. Javitz United States	34	142 0.3×	459 1.2×	326 1.0×	238 0.9×	208 0.8×	120	4.0k
Maya B. Mathur United States	29	152 0.3×	277 0.7×	243 0.7×	249 0.9×	245 0.9×	103	3.5k

Countries citing papers authored by Scott Vrieze

Since Specialization

Citations

This map shows the geographic impact of Scott Vrieze's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Scott Vrieze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Vrieze more than expected).

Fields of papers citing papers by Scott Vrieze

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott Vrieze. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Scott Vrieze. The network helps show where Scott Vrieze may publish in the future.

Co-authorship network of co-authors of Scott Vrieze

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Vrieze. A scholar is included among the top collaborators of Scott Vrieze based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott Vrieze. Scott Vrieze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Poore, Holly E., Sarah J. Brislin, Peter B. Barr, et al.. (2025). Associations Between a Genetic Liability Toward Externalizing and Behavioral Outcomes Spanning Toddlerhood Through Early Adulthood in Five Developmental Cohorts. Journal of the American Academy of Child & Adolescent Psychiatry. 65(2). 301–315. 2 indexed citations

Willoughby, Emily A., Carlo Maj, Rafael Ahlskog, et al.. (2025). Within- and between-family genetic effects on educational achievement vary across countries and ages. Molecular Psychiatry. 31(4). 2029–2037.

Zellers, Stephanie, J. Megan Ross, Gretchen Saunders, et al.. (2023). Recreational cannabis legalization has had limited effects on a wide range of adult psychiatric and psychosocial outcomes. Psychological Medicine. 53(14). 6481–6490. 12 indexed citations

Zellers, Stephanie, Jarrod M. Ellingson, Jonathan D. Schaefer, et al.. (2023). Limited psychological and social effects of lifetime cannabis use frequency: Evidence from a 30-year community study of 4,078 twins.. Journal of Psychopathology and Clinical Science. 133(1). 115–128. 1 indexed citations

Zhou, Yuan, et al.. (2022). Individual differences in adolescent and young adult daily mobility patterns and their relationships to big five personality traits: A behavioral genetic analysis. Journal of Research in Personality. 100. 104277–104277. 4 indexed citations

Saunders, Gretchen, Matt McGue, William G. Iacono, & Scott Vrieze. (2022). Longitudinal effects and environmental moderation of ALDH2 and ADH1B gene variants on substance use from age 14 to 40. Development and Psychopathology. 34(5). 1856–1864. 1 indexed citations

Zellers, Stephanie, William G. Iacono, Matt McGue, & Scott Vrieze. (2022). Developmental and etiological patterns of substance use from adolescence to middle age: A longitudinal twin study. Drug and Alcohol Dependence. 233. 109378–109378. 9 indexed citations

Evans, Luke M., Seon-Kyeong Jang, Dana B. Hancock, et al.. (2021). Genetic architecture of four smoking behaviors using partitioned SNP heritability. Addiction. 116(9). 2498–2508. 7 indexed citations

Deak, Joseph D., David A. Clark, Mengzhen Liu, et al.. (2021). Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood. Addiction. 117(4). 1117–1127. 9 indexed citations

10.

Hicks, Brian M., David A. Clark, Joseph D. Deak, et al.. (2021). Polygenic Score for Smoking Is Associated With Externalizing Psychopathology and Disinhibited Personality Traits but Not Internalizing Psychopathology in Adolescence. Clinical Psychological Science. 9(6). 1205–1213. 7 indexed citations

11.

Schaefer, Jonathan D., Seon-Kyeong Jang, Scott Vrieze, et al.. (2021). Adolescent cannabis use and adult psychoticism: A longitudinal co-twin control analysis using data from two cohorts.. Journal of Abnormal Psychology. 130(7). 691–701. 5 indexed citations

12.

Schaefer, Jonathan D., Stephen M. Malone, Scott Vrieze, et al.. (2021). Associations between adolescent cannabis use and young-adult functioning in three longitudinal twin studies. Proceedings of the National Academy of Sciences. 118(14). 34 indexed citations

13.

Chi, Guangqing, Junjun Yin, Zita Oravecz, et al.. (2021). GPS2space: An Open-source Python Library for Spatial Measure Extraction from GPS Data. PubMed. 1(2). 127–155. 3 indexed citations

14.

Schaefer, Jonathan D., Seon-Kyeong Jang, David A. Clark, et al.. (2021). Associations between polygenic risk of substance use and use disorder and alcohol, cannabis, and nicotine use in adolescence and young adulthood in a longitudinal twin study. Psychological Medicine. 53(6). 2296–2306. 9 indexed citations

15.

Hicks, Brian M., David A. Clark, Joseph D. Deak, et al.. (2021). Polygenic scores for smoking and educational attainment have independent influences on academic success and adjustment in adolescence and educational attainment in adulthood. PLoS ONE. 16(8). e0255348–e0255348. 5 indexed citations

16.

Bray, Michael J., Li‐Shiun Chen, Louis Fox, et al.. (2020). Dissecting the genetic overlap of smoking behaviors, lung cancer, and chronic obstructive pulmonary disease: A focus on nicotinic receptors and nicotine metabolizing enzyme. Genetic Epidemiology. 44(7). 748–758. 5 indexed citations

17.

Vaidyanathan, Uma, Scott Vrieze, & William G. Iacono. (2015). The Power of Theory, Research Design, and Transdisciplinary Integration in Moving Psychopathology Forward. Psychological Inquiry. 26(3). 209–230. 21 indexed citations

18.

Vrieze, Scott, Matt McGue, Michael B. Miller, Brian M. Hicks, & William G. Iacono. (2013). Three Mutually Informative Ways to Understand the Genetic Relationships Among Behavioral Disinhibition, Alcohol Use, Drug Use, Nicotine Use/Dependence, and Their Co-occurrence: Twin Biometry, GCTA, and Genome-Wide Scoring. Behavior Genetics. 43(2). 97–107. 72 indexed citations

19.

Vrieze, Scott. (2012). Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).. Psychological Methods. 17(2). 228–243. 1294 indexed citations breakdown →

20.

Vrieze, Scott & William M. Grove. (2010). Multidimensional assessment of criminal recidivism: Problems, pitfalls, and proposed solutions.. Psychological Assessment. 22(2). 382–395. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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