Nina Gupta

6.2k total citations · 2 hit papers
70 papers, 4.4k citations indexed

About

Nina Gupta is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Strategy and Management. According to data from OpenAlex, Nina Gupta has authored 70 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Organizational Behavior and Human Resource Management, 16 papers in Social Psychology and 9 papers in Strategy and Management. Recurrent topics in Nina Gupta's work include Job Satisfaction and Organizational Behavior (31 papers), Experimental Behavioral Economics Studies (6 papers) and Customer Service Quality and Loyalty (6 papers). Nina Gupta is often cited by papers focused on Job Satisfaction and Organizational Behavior (31 papers), Experimental Behavioral Economics Studies (6 papers) and Customer Service Quality and Loyalty (6 papers). Nina Gupta collaborates with scholars based in United States, Hong Kong and Israel. Nina Gupta's co-authors include Jason D. Shaw, John E. Delery, G. Douglas Jenkins, Atul Mitra, Terry A. Beehr, William H. Glick, Samantha A. Conroy, Sven Kepes, Michelle K. Duffy and Daniel C. Ganster and has published in prestigious journals such as Academy of Management Journal, Strategic Management Journal and Journal of Applied Psychology.

In The Last Decade

Nina Gupta

68 papers receiving 3.9k citations

Hit Papers

AN ORGANIZATION-LEVEL ANALYSIS OF VOLUNTARY AND INVOLUNTA... 1998 2026 2007 2016 1998 1998 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Gupta United States 29 2.5k 826 805 689 671 70 4.4k
Luc Sels Belgium 34 2.5k 1.0× 704 0.9× 645 0.8× 723 1.0× 632 0.9× 166 4.7k
Michael C. Sturman United States 31 2.0k 0.8× 781 0.9× 1.3k 1.6× 653 0.9× 347 0.5× 104 4.2k
Nigel Nicholson United Kingdom 38 2.5k 1.0× 1.1k 1.3× 1.3k 1.6× 514 0.7× 1.0k 1.5× 110 5.8k
Paula C. Morrow United States 39 3.2k 1.3× 1.2k 1.4× 1.4k 1.7× 823 1.2× 777 1.2× 89 5.9k
Barry Z. Posner United States 39 2.8k 1.1× 1.4k 1.7× 990 1.2× 1.1k 1.6× 438 0.7× 174 6.7k
Hang‐yue Ngo Hong Kong 34 2.8k 1.1× 846 1.0× 1.1k 1.4× 1.3k 1.8× 414 0.6× 79 4.7k
Thomas Li‐Ping Tang United States 43 2.8k 1.1× 1.9k 2.3× 1.3k 1.6× 702 1.0× 352 0.5× 155 6.8k
Robert D. Bretz United States 25 3.3k 1.3× 1.3k 1.5× 1.3k 1.6× 497 0.7× 398 0.6× 38 5.3k
Alison Davis‐Blake United States 25 1.3k 0.5× 378 0.5× 915 1.1× 612 0.9× 725 1.1× 41 3.4k
Jill Kickul United States 41 3.1k 1.3× 716 0.9× 1.0k 1.3× 938 1.4× 315 0.5× 116 6.8k

Countries citing papers authored by Nina Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Nina Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Gupta. 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 Nina Gupta. The network helps show where Nina Gupta may publish in the future.

Co-authorship network of co-authors of Nina Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Gupta. A scholar is included among the top collaborators of Nina Gupta 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 Nina Gupta. Nina Gupta 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.
Conroy, Samantha A., Dorothea Roumpi, John E. Delery, & Nina Gupta. (2021). Pay Volatility and Employee Turnover in the Trucking Industry. Journal of Management. 48(3). 605–629. 17 indexed citations
2.
Mitra, Atul, G. Douglas Jenkins, Nina Gupta, & Jason D. Shaw. (2015). The utility of pay raises/cuts: A simulation experimental study. Journal of Economic Psychology. 49. 150–166. 7 indexed citations
3.
Shaw, Jason D. & Nina Gupta. (2015). Let the evidence speak again! Financial incentives are more effective than we thought. Human Resource Management Journal. 25(3). 281–293. 92 indexed citations
4.
Gupta, Nina, Daniel C. Ganster, & Sven Kepes. (2013). Assessing the validity of sales self-efficacy: A cautionary tale.. Journal of Applied Psychology. 98(4). 690–700. 26 indexed citations
5.
Gupta, Nina, Samantha A. Conroy, & John E. Delery. (2011). The many faces of pay variation. Human Resource Management Review. 22(2). 100–115. 89 indexed citations
6.
Shaw, Jason D., Nina Gupta, Atul Mitra, & Gerald E. Ledford. (2005). Success and Survival of Skill-Based Pay Plans. Journal of Management. 31(1). 28–49. 25 indexed citations
7.
Shaw, Jason D., Nina Gupta, & John E. Delery. (2002). VOLUNTARY TURNOVER AND ORGANIZATIONAL PERFORMANCE.. Academy of Management Proceedings. 2002(1). B1–B6. 8 indexed citations
8.
Delery, John E., et al.. (2000). Unionization, compensation, and voice effects on quits and retention. Own your potential (DEAKIN). 3 indexed citations
9.
Jenkins, G. Douglas, Atul Mitra, Nina Gupta, & Jason D. Shaw. (1998). Are financial incentives related to performance? A meta-analytic review of empirical research.. Journal of Applied Psychology. 83(5). 777–787. 557 indexed citations breakdown →
10.
Mitra, Atul, Nina Gupta, & G. Douglas Jenkins. (1997). A drop in the bucket: when is a pay raise a pay raise?. Journal of Organizational Behavior. 18(2). 117–137. 44 indexed citations
11.
Gupta, Nina & G. Douglas Jenkins. (1996). The Politics of Pay. Compensation & Benefits Review. 28(2). 23–30. 18 indexed citations
12.
Gupta, Nina & G. Douglas Jenkins. (1991). Job evaluation: An overview. Human Resource Management Review. 1(2). 91–95. 5 indexed citations
13.
Gupta, Nina & G. Douglas Jenkins. (1991). Rethinking dysfunctional employee behaviors. Human Resource Management Review. 1(1). 39–59. 28 indexed citations
14.
Gupta, Nina. (1987). Pay-for-Knowledge Compensation Plans: Hypotheses and Survey Results.. Monthly labor review. 110(10). 43. 8 indexed citations
15.
Gupta, Nina, et al.. (1986). Paying for knowledge: Myths and realities. National Productivity Review. 5(2). 107–123. 23 indexed citations
16.
Jenkins, G. Douglas, William H. Glick, & Nina Gupta. (1983). Job Characteristics and Employee Responses.. Academy of Management Proceedings. 1983(1). 164–168. 12 indexed citations
17.
Gupta, Nina. (1982). The Influence of Sex Roles on the Life Plans of Low-SES Adolescents.. Analytical and Bioanalytical Chemistry. 415(14). 2749–2761. 1 indexed citations
18.
Gupta, Nina & Terry A. Beehr. (1982). A test of the correspondence between self-reports and alternative data sources about work organizations. Journal of Vocational Behavior. 20(1). 1–13. 38 indexed citations
19.
Gupta, Nina. (1980). Performance-Contingent Rewards and Satisfaction: An Initial Analysis. Human Relations. 33(11). 813–829. 26 indexed citations
20.
Beehr, Terry A. & Nina Gupta. (1978). A note on the structure of employee withdrawal. Organizational Behavior and Human Performance. 21(1). 73–79. 114 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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