Veronica T. Cole

1.2k total citations
40 papers, 811 citations indexed

About

Veronica T. Cole is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, Veronica T. Cole has authored 40 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Clinical Psychology, 13 papers in Experimental and Cognitive Psychology and 8 papers in Statistics and Probability. Recurrent topics in Veronica T. Cole's work include Mental Health Research Topics (11 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Veronica T. Cole is often cited by papers focused on Mental Health Research Topics (11 papers), Child and Adolescent Psychosocial and Emotional Development (9 papers) and Statistical Methods and Bayesian Inference (6 papers). Veronica T. Cole collaborates with scholars based in United States, United Kingdom and South Africa. Veronica T. Cole's co-authors include Daniel J. Bauer, Nicholas Colangelo, Carolyn E. Cutrona, Susan G. Assouline, Daniel W. Russell, Andrea M. Hussong, Nisha C. Gottfredson, Patrick J. Curran, Dwight Dickinson and Daniel R. Weinberger and has published in prestigious journals such as Journal of Personality and Social Psychology, PLoS ONE and Journal of Abnormal Psychology.

In The Last Decade

Veronica T. Cole

37 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veronica T. Cole United States 15 274 204 184 146 118 40 811
Laura Castro‐Schilo United States 13 387 1.4× 272 1.3× 140 0.8× 211 1.4× 175 1.5× 24 1.1k
Jeremy R. Sullivan United States 16 277 1.0× 255 1.3× 306 1.7× 149 1.0× 67 0.6× 42 979
Nicholas Benson United States 17 233 0.9× 140 0.7× 203 1.1× 391 2.7× 60 0.5× 60 1.1k
Thierno Diallo Australia 14 136 0.5× 240 1.2× 133 0.7× 86 0.6× 114 1.0× 35 777
Pascal R. Deboeck United States 14 275 1.0× 192 0.9× 67 0.4× 253 1.7× 78 0.7× 46 728
Víctor B. Arias Spain 18 433 1.6× 171 0.8× 177 1.0× 154 1.1× 137 1.2× 73 1.0k
Jeroen D. Mulder Netherlands 4 306 1.1× 266 1.3× 130 0.7× 170 1.2× 171 1.4× 7 729
Alison A. Papadakis United States 9 360 1.3× 177 0.9× 103 0.6× 287 2.0× 84 0.7× 11 819
Joran Jongerling Netherlands 15 216 0.8× 108 0.5× 107 0.6× 157 1.1× 70 0.6× 49 670
Anne C. Black United States 16 288 1.1× 134 0.7× 121 0.7× 162 1.1× 63 0.5× 72 930

Countries citing papers authored by Veronica T. Cole

Since Specialization
Citations

This map shows the geographic impact of Veronica T. Cole'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 Veronica T. Cole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veronica T. Cole more than expected).

Fields of papers citing papers by Veronica T. Cole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veronica T. Cole. 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 Veronica T. Cole. The network helps show where Veronica T. Cole may publish in the future.

Co-authorship network of co-authors of Veronica T. Cole

This figure shows the co-authorship network connecting the top 25 collaborators of Veronica T. Cole. A scholar is included among the top collaborators of Veronica T. Cole 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 Veronica T. Cole. Veronica T. Cole is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Soland, James, et al.. (2025). Evidence That Growth Mixture Model Results Are Highly Sensitive to Scoring Decisions. Multivariate Behavioral Research. 60(3). 487–508.
2.
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Cole, Veronica T., et al.. (2023). Positive distraction in daily activities as a predictor of good coping: A “day in the life” during the COVID-19 pandemic. Frontiers in Psychology. 14. 1142665–1142665. 6 indexed citations
4.
Cole, Veronica T., et al.. (2023). Peer connectedness and substance use in adolescence: A systematic review and meta-analysis.. Psychology of Addictive Behaviors. 38(1). 19–35. 6 indexed citations
5.
Cole, Veronica T., et al.. (2023). Algorithms for Measurement Invariance Testing. Cambridge University Press eBooks. 2 indexed citations
6.
Cole, Veronica T., Andrea M. Hussong, Nisha C. Gottfredson, Daniel J. Bauer, & Patrick J. Curran. (2022). Informing Harmonization Decisions in Integrative Data Analysis: Exploring the Measurement Multiverse. Prevention Science. 24(8). 1595–1607. 13 indexed citations
7.
Waugh, Christian E., et al.. (2021). Coping With COVID-19: The Benefits of Anticipating Future Positive Events and Maintaining Optimism. Frontiers in Psychology. 12. 646047–646047. 27 indexed citations
8.
Kerr, David, Harold Bae, Veronica T. Cole, & Andrea M. Hussong. (2021). Psychosocial functioning associated with prescription stimulant and opioid misuse versus illicit drug use among college students. Journal of American College Health. 71(5). 1387–1396. 3 indexed citations
9.
Williams, Jessica R., et al.. (2020). Exploring stress, cognitive, and affective mechanisms of the relationship between interpersonal trauma and opioid misuse. PLoS ONE. 15(5). e0233185–e0233185. 40 indexed citations
10.
Hussong, Andrea M., Susan T. Ennett, Daniel McNeish, et al.. (2019). Social network isolation mediates associations between risky symptoms and substance use in the high school transition. Development and Psychopathology. 32(2). 615–630. 13 indexed citations
11.
Cole, Veronica T., Daniel J. Bauer, & Andrea M. Hussong. (2019). Assessing the Robustness of Mixture Models to Measurement Noninvariance. Multivariate Behavioral Research. 54(6). 882–905. 6 indexed citations
12.
Cole, Veronica T., Andrea M. Hussong, Robert Faris, et al.. (2018). A Latent Variable Approach to Measuring Social Dynamics in Adolescence. Journal of Research on Adolescence. 30(S1). 238–254. 4 indexed citations
13.
14.
Cole, Veronica T., et al.. (2018). Automated Fitting of Moderated Nonlinear Factor Analysis Through the 'Mplus' Program [R package aMNLFA version 0.1]. 1 indexed citations
15.
Ennett, Susan T., Robert Faris, Andrea M. Hussong, Nisha C. Gottfredson, & Veronica T. Cole. (2018). Depressive Symptomology as a Moderator of Friend Selection and Influence on Substance Use Involvement: Estimates from Grades 6 to 12 in Six Longitudinal School-Based Social Networks. Journal of Youth and Adolescence. 47(11). 2337–2352. 5 indexed citations
16.
Curran, Patrick J., et al.. (2017). Advancing the Study of Adolescent Substance Use Through the Use of Integrative Data Analysis. Evaluation & the Health Professions. 41(2). 216–245. 17 indexed citations
17.
Cole, Veronica T.. (2017). Adapting Latent Profile Analysis to Take Into Account Measurement Noninvariance. Multivariate Behavioral Research. 52(1). 115–115. 1 indexed citations
18.
Ennett, Susan T., Chandra L. Jackson, Veronica T. Cole, et al.. (2015). A multidimensional model of mothers’ perceptions of parent alcohol socialization and adolescent alcohol misuse.. Psychology of Addictive Behaviors. 30(1). 18–28. 17 indexed citations
19.
Cole, Veronica T., José Apud, Daniel R. Weinberger, & Dwight Dickinson. (2012). Using latent class growth analysis to form trajectories of premorbid adjustment in schizophrenia.. Journal of Abnormal Psychology. 121(2). 388–395. 35 indexed citations
20.
Cole, Veronica T., Daniel R. Weinberger, & Dwight Dickinson. (2011). Intra-individual variability across neuropsychological tasks in schizophrenia: A comparison of patients, their siblings, and healthy controls. Schizophrenia Research. 129(1). 91–93. 36 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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