Devasheesh P. Bhave

23 papers receiving 1.5k citations

Peers

Devasheesh P. Bhave
Comparison fields: 5 of 104
  • Organizational Behavior and Human Resource Management 893
  • Applied Psychology 224
  • Social Psychology 596
  • Information Systems and Management 122
  • Experimental and Cognitive Psychology 213
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Countries citing papers authored by Devasheesh P. Bhave

Since Specialization
Citations

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

Fields of papers citing papers by Devasheesh P. Bhave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devasheesh P. Bhave. 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 Devasheesh P. Bhave. The network helps show where Devasheesh P. Bhave may publish in the future.

Co-authors

The 17 scholars most cited alongside Devasheesh P. Bhave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devasheesh P. Bhave Line = papers co-authored together Devasheesh P. Bhave links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014338
2 2011184
3 2014156
4 2010121
5 2016116
6 2019111
7
Within-Person Variability in Job Performance A Theoretical Review and Research Agenda
2014109
8 2013105
9 201377
10 201349
11 201343
12 200832
13 201731
14 201927
15 201226
16 202316
17 201514
18 201813
19 201212
20 20178

About Devasheesh P. Bhave

Devasheesh P. Bhave is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management, Social Psychology, General Health Professions and Applied Psychology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (12 papers), Work-Family Balance Challenges (7 papers), Emotional Labor in Professions (5 papers), Behavioral Health and Interventions (4 papers), Social and Intergroup Psychology (3 papers), Gender Diversity and Inequality (3 papers), Emotions and Moral Behavior (2 papers) and Interpreting and Communication in Healthcare (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (893 citations), Applied Psychology (224 citations), Social Psychology (596 citations), Information Systems and Management (122 citations) and Experimental and Cognitive Psychology (213 citations). Devasheesh P. Bhave has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Theresa M. Glomb, Reeshad S. Dalal, John Fiset, Christopher M. Barnes, Lorenzo Lucianetti, Michael S. Christian, Amit Kramer, Eugene Kim, Andrew G. Miner and Melanie M. Wall. Their work appears in journals such as Journal of Management, Personnel Psychology, Journal of Occupational and Organizational Psychology, Journal of Applied Psychology and Academy of Management Journal.

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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