Stephen M. Colarelli

3.2k total citations
59 papers, 2.3k citations indexed

About

Stephen M. Colarelli is a scholar working on Sociology and Political Science, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Stephen M. Colarelli has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 14 papers in Social Psychology and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in Stephen M. Colarelli's work include Evolutionary Psychology and Human Behavior (10 papers), Social and Intergroup Psychology (9 papers) and Experimental Behavioral Economics Studies (6 papers). Stephen M. Colarelli is often cited by papers focused on Evolutionary Psychology and Human Behavior (10 papers), Social and Intergroup Psychology (9 papers) and Experimental Behavioral Economics Studies (6 papers). Stephen M. Colarelli collaborates with scholars based in United States, Singapore and Hong Kong. Stephen M. Colarelli's co-authors include Stephen A. Stumpf, Karen Hartman, Ronald C. Bishop, Mark van Vugt, Norman P. Li, Roger A. Dean, Constantine Konstans, Kyunghee Han, Nathan Charles Weed and Kimberly E. O’Brien and has published in prestigious journals such as PLoS ONE, Journal of Applied Psychology and American Psychologist.

In The Last Decade

Stephen M. Colarelli

58 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Colarelli United States 23 844 712 515 417 393 59 2.3k
Chad A. Higgins United States 5 913 1.1× 803 1.1× 593 1.2× 220 0.5× 149 0.4× 7 2.2k
Ronald A. Ash United States 18 779 0.9× 963 1.4× 359 0.7× 571 1.4× 221 0.6× 37 2.1k
Marilyn A. Uy Singapore 20 960 1.1× 677 1.0× 397 0.8× 269 0.6× 110 0.3× 34 2.3k
Edwin A. J. van Hooft Netherlands 30 948 1.1× 747 1.0× 605 1.2× 395 0.9× 193 0.5× 69 2.7k
Robert B. Kaiser United States 23 1.4k 1.7× 1.2k 1.7× 796 1.5× 359 0.9× 177 0.5× 61 3.3k
Elizabeth Tighe United States 10 699 0.8× 736 1.0× 443 0.9× 191 0.5× 147 0.4× 19 2.3k
Jessica M. Nicklin United States 17 1.1k 1.3× 990 1.4× 1.1k 2.1× 217 0.5× 158 0.4× 24 2.6k
Jason J. Dahling United States 28 1.4k 1.6× 997 1.4× 1.1k 2.1× 286 0.7× 254 0.6× 52 2.9k
Irene E. De Pater Netherlands 23 1.4k 1.7× 964 1.4× 934 1.8× 234 0.6× 173 0.4× 48 2.6k
Steffanie L. Wilk United States 12 944 1.1× 513 0.7× 447 0.9× 199 0.5× 112 0.3× 16 1.9k

Countries citing papers authored by Stephen M. Colarelli

Since Specialization
Citations

This map shows the geographic impact of Stephen M. Colarelli'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 Stephen M. Colarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Colarelli more than expected).

Fields of papers citing papers by Stephen M. Colarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Colarelli. 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 Stephen M. Colarelli. The network helps show where Stephen M. Colarelli may publish in the future.

Co-authorship network of co-authors of Stephen M. Colarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Colarelli. A scholar is included among the top collaborators of Stephen M. Colarelli 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 Stephen M. Colarelli. Stephen M. Colarelli 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.
Colarelli, Stephen M., et al.. (2022). Responses to COVID-19 Threats: an Evolutionary Psychological Analysis. Evolutionary Psychological Science. 9(2). 186–196. 1 indexed citations
2.
Li, Norman P., Mark van Vugt, & Stephen M. Colarelli. (2017). The Evolutionary Mismatch Hypothesis: Implications for Psychological Science. Current Directions in Psychological Science. 27(1). 38–44. 172 indexed citations
3.
O’Brien, Kimberly E., et al.. (2017). Kinship ties and employee theft perceptions in family-owned businesses. European Management Journal. 36(3). 421–430. 19 indexed citations
4.
Colarelli, Stephen M., et al.. (2016). Why We Need More Nature at Work: Effects of Natural Elements and Sunlight on Employee Mental Health and Work Attitudes. PLoS ONE. 11(5). e0155614–e0155614. 68 indexed citations
5.
Colarelli, Stephen M., et al.. (2014). Gossip in Organizations: From an Evolutionary Psychological Perspective. Academy of Management Proceedings. 2014(1). 12484–12484. 2 indexed citations
6.
Colarelli, Stephen M.. (2013). Robert G.Jones (Ed.). Nepotism in Organizations. New York, NY: Routledge, 2012, 293 pages, $52/$65 hardcover.. Personnel Psychology. 66(3). 785–789. 1 indexed citations
7.
Colarelli, Stephen M., et al.. (2011). Understanding human nature: From an evolutionary psychological perspective. International Journal of Business. 43–60. 1 indexed citations
8.
Dai, Guangrong, et al.. (2010). Cultural differences and measurement invariance of selection tools. 1(2). 95–114. 5 indexed citations
9.
Colarelli, Stephen M., et al.. (2010). Immigration in the twenty-first century a personnel selection approach. 14(3). 389–413. 3 indexed citations
10.
Colarelli, Stephen M., et al.. (2010). Racial Prototypicality, Affirmative Action, and Hiring Decisions in a Multiracial World. International Journal of Selection and Assessment. 18(2). 166–173. 8 indexed citations
11.
Colarelli, Stephen M., et al.. (2008). Stubborn Reliance on Human Nature in Employee Selection: Statistical Decision Aids Are Evolutionarily Novel. Industrial and Organizational Psychology. 1(3). 347–351. 14 indexed citations
12.
Colarelli, Stephen M., et al.. (2006). A cross‐national analysis of affirmative action: an evolutionary psychological perspective. Managerial and Decision Economics. 27(2-3). 203–216. 11 indexed citations
13.
Colarelli, Stephen M., et al.. (2004). Individual Unemployment Accounts. 8(4). 569–585. 4 indexed citations
14.
Colarelli, Stephen M.. (2002). Conservatives Are Liberal, and Liberals Are Conservative-On the Environment. (Controversy). 7(1). 103. 1 indexed citations
15.
Colarelli, Stephen M.. (1998). Psychological interventions in organizations: An evolutionary perspective.. American Psychologist. 53(9). 1044–1056. 42 indexed citations
16.
Adams, Gary A., Tina C. Elacqua, & Stephen M. Colarelli. (1994). The employment interview as a sociometric selection technique.. e-publications - Marquette (Marquette University). 47(3). 99–113. 5 indexed citations
17.
Lancaster, Sandra, Stephen M. Colarelli, Daniel W. King, & Terry A. Beehr. (1994). Job Applicant Similarity on Cognitive Ability, Vocational Interests, And Personality Characteristics: Do Similar Persons Choose Similar Jobs?. Educational and Psychological Measurement. 54(2). 299–316. 3 indexed citations
18.
Colarelli, Stephen M., et al.. (1990). The context of hiring practices. 1 indexed citations
19.
Colarelli, Stephen M.. (1984). Methods of communication and mediating processes in realistic job previews.. Journal of Applied Psychology. 69(4). 633–642. 286 indexed citations
20.
Stumpf, Stephen A., Stephen M. Colarelli, & Karen Hartman. (1983). Development of the Career Exploration Survey (CES). Journal of Vocational Behavior. 22(2). 191–226. 456 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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