David E. Terpstra

81 papers receiving 2.3k citations

Peers

David E. Terpstra
Comparison fields: 5 of 119
  • Gender Studies 844
  • Organizational Behavior and Human Resource Management 644
  • Management of Technology and Innovation 213
  • Information Systems and Management 193
  • Applied Psychology 119
Replace Michael L. McDonald with:
Michael L. McDonald United States
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Jackson G Lu United States
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Citations per year

Countries citing papers authored by David E. Terpstra

Since Specialization
Citations

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

Fields of papers citing papers by David E. Terpstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993425
2 1977317
3 1993181
4 1993149
5 1990109
6 199299
7 199095
8 198779
9 198579
10 198875
11 199171
12
Job Satisfaction and Pay Satisfaction Levels of University Faculty by Discipline Type and by Geographic Region.
200463
13 199762
14 198661
15 198957
16 198156
17 199250
18 200349
19
Psychological and demographic correlates of perceptions of sexual harassment.
198643
20 199240

About David E. Terpstra

David E. Terpstra is a scholar working on Gender Studies, Organizational Behavior and Human Resource Management, Condensed Matter Physics, Applied Psychology and Atomic and Molecular Physics, and Optics, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Physics of Superconductivity and Magnetism (14 papers), Sexual Assault and Victimization Studies (13 papers), Human Resource Development and Performance Evaluation (9 papers), Workplace Violence and Bullying (7 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Quantum and electron transport phenomena (6 papers), Magnetic properties of thin films (6 papers) and Gender Diversity and Inequality (5 papers). The work is most often cited by research in Gender Studies (844 citations), Organizational Behavior and Human Resource Management (644 citations), Management of Technology and Innovation (213 citations), Information Systems and Management (193 citations) and Applied Psychology (119 citations). David E. Terpstra has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Elizabeth J. Rozell, Douglas D. Baker, Robert L. Dipboye, Richard D. Arvey, Philip D. Olson, Robert K. Robinson, Horst Rogalla, Susan E. Cook, G.J. Gerritsma and Kinley Larntz. Their work appears in journals such as Public Personnel Management, Journal of Applied Psychology, Academy of Management Journal, Applied Physics Letters and IEEE Transactions on Applied Superconductivity.

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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