Tara S. Behrend

5.1k total citations · 3 hit papers
68 papers, 3.4k citations indexed

About

Tara S. Behrend is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Tara S. Behrend has authored 68 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Organizational Behavior and Human Resource Management, 19 papers in Sociology and Political Science and 18 papers in Social Psychology. Recurrent topics in Tara S. Behrend's work include Job Satisfaction and Organizational Behavior (14 papers), Employer Branding and e-HRM (9 papers) and Technology Adoption and User Behaviour (9 papers). Tara S. Behrend is often cited by papers focused on Job Satisfaction and Organizational Behavior (14 papers), Employer Branding and e-HRM (9 papers) and Technology Adoption and User Behaviour (9 papers). Tara S. Behrend collaborates with scholars based in United States, Canada and Ghana. Tara S. Behrend's co-authors include Richard N. Landers, Eric Wiebe, David Sharek, Adam W. Meade, Lori Foster Thompson, Tessa E. Basford, Lynn R. Offermann, Emily C. Johnson, Daniel M. Ravid and Nikki Blacksmith and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Psychology.

In The Last Decade

Tara S. Behrend

62 papers receiving 3.2k citations

Hit Papers

The viability of crowdsourcing for survey research 2011 2026 2016 2021 2011 2015 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara S. Behrend United States 24 1.1k 871 689 415 352 68 3.4k
Richard N. Landers United States 26 1.3k 1.2× 645 0.7× 786 1.1× 391 0.9× 365 1.0× 64 3.9k
Joseph K. Goodman United States 16 1.4k 1.3× 493 0.6× 894 1.3× 872 2.1× 299 0.8× 33 4.7k
Eyal Peer Israel 13 1.9k 1.8× 443 0.5× 983 1.4× 669 1.6× 323 0.9× 26 4.6k
S. Bartholomew Craig United States 12 992 0.9× 939 1.1× 982 1.4× 739 1.8× 265 0.8× 23 3.4k
Sang Eun Woo United States 30 618 0.6× 622 0.7× 620 0.9× 398 1.0× 116 0.3× 58 2.6k
Kurt Kraiger United States 24 626 0.6× 1.7k 2.0× 1.5k 2.2× 292 0.7× 272 0.8× 53 5.5k
Jennifer Mueller United States 21 830 0.8× 1.4k 1.6× 1.4k 2.0× 313 0.8× 158 0.4× 43 3.9k
Guido Hertel Germany 41 2.0k 1.9× 1.4k 1.6× 2.7k 4.0× 373 0.9× 382 1.1× 125 6.4k
Christel G. Rutte Netherlands 32 1.0k 1.0× 1.0k 1.2× 1.2k 1.7× 523 1.3× 144 0.4× 56 3.5k
Steven G. Rogelberg United States 38 1.6k 1.5× 1.9k 2.1× 1.4k 2.1× 249 0.6× 341 1.0× 111 5.0k

Countries citing papers authored by Tara S. Behrend

Since Specialization
Citations

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

Fields of papers citing papers by Tara S. Behrend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tara S. Behrend. 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 Tara S. Behrend. The network helps show where Tara S. Behrend may publish in the future.

Co-authorship network of co-authors of Tara S. Behrend

This figure shows the co-authorship network connecting the top 25 collaborators of Tara S. Behrend. A scholar is included among the top collaborators of Tara S. Behrend 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 Tara S. Behrend. Tara S. Behrend 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.
Behrend, Tara S. & Richard N. Landers. (2025). Participant Interactions with Artificial Intelligence: Using Large Language Models to Generate Research Materials for Surveys and Experiments. Journal of Business and Psychology. 40(6). 1275–1297. 1 indexed citations
2.
Landers, Richard N. & Tara S. Behrend. (2024). Research Methods for Industrial and Organizational Psychology.
3.
Oswald, Frederick L., et al.. (2023). The National Academies Board on Human-Systems Integration (BOHSI) Panel: Emerging trends in technology: Implications for future research in human-system interactions (HSI). Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 414–418. 1 indexed citations
4.
Shoss, Mindy K. & Tara S. Behrend. (2023). Technology, work, and inequality.. 4(1). 116–120.
5.
Ravid, Daniel M., et al.. (2022). Social learning dynamics influence performance and career self-efficacy in career-oriented educational virtual environments. PLoS ONE. 17(9). e0273788–e0273788. 6 indexed citations
6.
Landers, Richard N. & Tara S. Behrend. (2022). Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.. American Psychologist. 78(1). 36–49. 111 indexed citations breakdown →
7.
Behrend, Tara S., et al.. (2022). Stereotypical descriptions of computer science career interests are not representative of many computer scientists. Scientific Reports. 12(1). 5990–5990. 2 indexed citations
8.
Behrend, Tara S., et al.. (2022). Evidence for “Pushed Out” and “Opt Out” Factors in Women’s Career Inclusion Across the World of Work in the United States. Journal of Career Assessment. 30(3). 506–532. 3 indexed citations
9.
Ravid, Daniel M., et al.. (2022). Body-worn camera technologies can promote positive policing. Industrial and Organizational Psychology. 15(4). 612–616.
11.
Auer, Elena M., et al.. (2021). Pay for performance, satisfaction and retention in longitudinal crowdsourced research. PLoS ONE. 16(1). e0245460–e0245460. 23 indexed citations
12.
Ravid, Daniel M., et al.. (2019). Moderating effects of person and job characteristics on digital monitoring outcomes. Current Opinion in Psychology. 31. 55–60. 11 indexed citations
13.
Behrend, Tara S., et al.. (2019). Vocational interest data from Time magazine. OSF Preprints (OSF Preprints). 1 indexed citations
14.
Blacksmith, Nikki, Yongwei Yang, Tara S. Behrend, & Gregory A. Ruark. (2019). Assessing the validity of inferences from scores on the cognitive reflection test. Journal of Behavioral Decision Making. 32(5). 599–612. 23 indexed citations
15.
Lynch, Sharon J., et al.. (2016). A Policy-Relevant Instrumental Case Study of an Inclusive STEM-Focused High School: Manor New Tech High. International Journal of Education in Mathematics Science and Technology. 5(1). 1–1. 14 indexed citations
16.
Wiebe, Eric, et al.. (2015). MOOCs From the Viewpoint of the Learner. Educational Researcher. 44(4). 252–254. 9 indexed citations
17.
Behrend, Tara S., et al.. (2014). Media richness and information acquisition in internet recruitment. Journal of Managerial Psychology. 29(7). 866–883. 20 indexed citations
18.
Behrend, Tara S., et al.. (2013). Psychological dynamics in ICTD projects. 8. 9–12. 1 indexed citations
19.
Behrend, Tara S., David Sharek, Adam W. Meade, & Eric Wiebe. (2011). The viability of crowdsourcing for survey research. Behavior Research Methods. 43(3). 800–813. 798 indexed citations breakdown →
20.
Behrend, Tara S., Lori Foster Thompson, Adam W. Meade, Dale A. Newton, & Martha S. Grayson. (2008). Measurement Invariance in Careers Research. Journal of Career Development. 35(1). 60–83. 10 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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