Oliver Sheldon

26 papers receiving 805 citations

Oliver Sheldon's Hit Papers

Relaxing moral reasoning to win: How organizational identification relates to unethical pro-organizational behavior. 2016 · 302 citations
3020+3+6Years since publication100200300

Peers

Oliver Sheldon
Comparison fields: 5 of 90
  • Information Systems and Management 230
  • Organizational Behavior and Human Resource Management 256
  • Applied Psychology 69
  • General Decision Sciences 21
  • Social Psychology 192
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Babatunde Ogunfowora Canada
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Countries citing papers authored by Oliver Sheldon

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Oliver Sheldon, 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 Oliver Sheldon Line = papers co-authored together Oliver Sheldon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relaxing moral reasoning to win: How organizational identification relates to unethical pro-organizational behavior.
Hit paper breakdown →
2016302
2 201390
3 200683
4 200453
5 201845
6 200642
7 202136
8 201028
9 201527
10 201824
11 201523
12 200221
13 201219
14 202315
15 202214
16 20145
17 20253
18
La filosofía del management
19843
19 20193
20 20153

About Oliver Sheldon

Oliver Sheldon is a scholar working on Social Psychology, Sociology and Political Science, Organizational Behavior and Human Resource Management, Information Systems and Management and Cognitive Neuroscience, having authored 28 papers that have together received 850 indexed citations. Recurring topics across this work include Social and Intergroup Psychology (6 papers), Cultural Differences and Values (5 papers), Ethics in Business and Education (4 papers), Behavioral Health and Interventions (3 papers), Psychology of Moral and Emotional Judgment (3 papers), Job Satisfaction and Organizational Behavior (3 papers), Attachment and Relationship Dynamics (2 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Information Systems and Management (230 citations), Organizational Behavior and Human Resource Management (256 citations), Applied Psychology (69 citations), General Decision Sciences (21 citations) and Social Psychology (192 citations). Oliver Sheldon has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Chao C. Chen, Mo Chen, Daniel R. Ames, David Dunning, Ayelet Fishbach, Maia J. Young, Michael W. Morris, Kui Yin, Melissa C. Thomas-Hunt and Chad A. Proell. Their work appears in journals such as Journal of Applied Psychology, Personality and Individual Differences, Organizational Behavior and Human Decision Processes, Monthly Notices of the Royal Astronomical Society and Business Ethics Quarterly.

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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