Michael P. Kirsch
Impact in
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- Job Satisfaction and Organizational Behavior
- Employer Branding and e-HRM
- Customer Service Quality and Loyalty
- Applied Psychology top 5%
- Human Resource Development and Performance Evaluation
Papers in
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- Decision-Making and Behavioral Economics 3
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- Psychology of Social Influence 1
- Social and Intergroup Psychology 1
- Co-authors
- Neal Schmitt (1 shared paper)Richard Z. Gooding (1 shared paper)Raymond A. Noe (1 shared paper)Steve W. J. Kozlowski (4 shared papers)Mary D. Zalesny (1 shared paper)Georgia T. Chao (2 shared papers)Philip Mayer (1 shared paper)Philip Bigelow (1 shared paper)
- Journals
- Journal of Applied Psychology (4 papers)Personnel Psychology (1 paper)Human Relations (1 paper)Work (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Michael P. Kirsch
9 papers receiving 531 citations
Peers
Comparison fields: 5 of 92
- Organizational Behavior and Human Resource Management 229
- Applied Psychology 93
- General Decision Sciences 23
- Social Psychology 191
- Management Science and Operations Research 80
Countries citing papers authored by Michael P. Kirsch
This map shows the geographic impact of Michael P. Kirsch'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 Michael P. Kirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Kirsch more than expected).
Fields of papers citing papers by Michael P. Kirsch
This network shows the impact of papers produced by Michael P. Kirsch. 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 Michael P. Kirsch. The network helps show where Michael P. Kirsch may publish in the future.
Co-authors
The 9 scholars most cited alongside Michael P. Kirsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 414 | |
| 2 | 1986 | 63 | |
| 3 | 1987 | 51 | |
| 4 | 1989 | 46 | |
| 5 | 2017 | 45 | |
| 6 | 1998 | 8 | |
| 7 | 1986 | 1 | |
| 8 | [Acute glycoside intoxication from the intake of oleander (Nerium oleander) leaves in a guinea pig]. | 1997 | 1 |
| 9 | 1987 | 1 |
About Michael P. Kirsch
Michael P. Kirsch is a scholar working on General Decision Sciences, Sociology and Political Science, Artificial Intelligence, Applied Psychology and Social Psychology, having authored 9 papers that have together received 630 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (3 papers), Psychology of Social Influence (1 paper), Psychometric Methodologies and Testing (1 paper), Cultural Differences and Values (1 paper), Occupational Health and Safety Research (1 paper), Psychological Testing and Assessment (1 paper), Software Engineering Research (1 paper) and Social and Intergroup Psychology (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (229 citations), Applied Psychology (93 citations), General Decision Sciences (23 citations), Social Psychology (191 citations) and Management Science and Operations Research (80 citations). Michael P. Kirsch has collaborated with scholars based in United States and Germany. Frequent co-authors include Neal Schmitt, Richard Z. Gooding, Raymond A. Noe, Steve W. J. Kozlowski, Mary D. Zalesny, Georgia T. Chao, Philip Mayer, Philip Bigelow and David Gilkey. Their work appears in journals such as Journal of Applied Psychology, Personnel Psychology, Human Relations, Work and PubMed.
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.