David Sikora

833 citations
15 papers · 633 · h-index 11

Impact in

Papers in

David Sikora

15 papers receiving 605 citations

Peers

David Sikora
Comparison fields: 5 of 50
  • Organizational Behavior and Human Resource Management 454
  • Gender Studies 77
  • Social Psychology 151
  • Applied Psychology 32
  • Human Factors and Ergonomics 15
Replace Anjali Chaudhry with:
Anjali Chaudhry United States
Keiko Toya Japan
Charissa Freese Netherlands
Thomas C. Cross United States
Jonathan R. Crawshaw United Kingdom
Mary Dana Laird United States
Natalya M. Parfyonova United States
Jeffrey B. Paul United States
Elise Marescaux France
Hein Wendt Belgium
David Sikora relative to Anjali Chaudhry United States Anjali Chaudhry's profile →
Citations per field
00.5×1.7×
Anjali Chaudhry · 1×
Citations per year

Countries citing papers authored by David Sikora

Since Specialization
Citations

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

Fields of papers citing papers by David Sikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside David Sikora, 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 David Sikora Line = papers co-authored together David Sikora links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2011134
2 2014130
3 2015104
4 201559
5 201254
6 201652
7 201237
8 201513
9 202011
10 201110
11 200910
12 20237
13 20177
14 20214
15
One Bad Apple: The Role of Destructive Executives in Organizations
20101

About David Sikora

David Sikora is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Social Psychology, General Health Professions and Management Information Systems, having authored 15 papers that have together received 633 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (11 papers), Workplace Violence and Bullying (3 papers), Auditing, Earnings Management, Governance (2 papers), Employment and Welfare Studies (2 papers), Labor market dynamics and wage inequality (2 papers), Management and Organizational Studies (2 papers), Attachment and Relationship Dynamics (1 paper) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (454 citations), Gender Studies (77 citations), Social Psychology (151 citations), Applied Psychology (32 citations) and Human Factors and Ergonomics (15 citations). David Sikora has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Gerald R. Ferris, Mark J. Martinko, Paul Harvey, Katina W. Thompson, Scott Douglas, Chad H. Van Iddekinge, Zachary A. Russell, Pamela L. Perrewé, Jeremy Ray Brees and Edoardo Della Torre. Their work appears in journals such as Human Resource Management Review, Human Resource Management Journal, Journal of Leadership & Organizational Studies, The Leadership Quarterly and Career Development International.

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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