Daniel M. Ravid
Impact in
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- Job Satisfaction and Organizational Behavior
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- Behavioral and Psychological Studies
Papers in
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- Behavioral and Psychological Studies 5
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- Digital Economy and Work Transformation 2
- Co-authors
- Tara S. Behrend (9 shared papers)David L. Tomczak (2 shared papers)John McEachin (5 shared papers)Ronald Leaf (5 shared papers)Jeremy Leaf (5 shared papers)Alyne Kassardjian (5 shared papers)Justin B. Leaf (5 shared papers)Mitchell Taubman (5 shared papers)
- Journals
- Industrial and Organizational Psychology (3 papers)Journal of Vocational Behavior (2 papers)Journal of Management (1 paper)Education and training in autism and developmental disabilities (1 paper)Annual Review of Organizational Psychology and Organizational Behavior (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel M. Ravid
15 papers receiving 277 citations
Peers
Comparison fields: 5 of 58
- Organizational Behavior and Human Resource Management 70
- Developmental and Educational Psychology 62
- Health Informatics 6
- Information Systems and Management 27
- Demography 40
Countries citing papers authored by Daniel M. Ravid
This map shows the geographic impact of Daniel M. Ravid'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 Daniel M. Ravid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Ravid more than expected).
Fields of papers citing papers by Daniel M. Ravid
This network shows the impact of papers produced by Daniel M. Ravid. 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 Daniel M. Ravid. The network helps show where Daniel M. Ravid may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel M. Ravid, 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 | 2019 | 120 | |
| 2 | 2022 | 45 | |
| 3 | 2014 | 28 | |
| 4 | 2016 | 17 | |
| 5 | 2015 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2016 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2022 | 0 |
About Daniel M. Ravid
Daniel M. Ravid is a scholar working on Developmental and Educational Psychology, Sociology and Political Science, Cognitive Neuroscience, Organizational Behavior and Human Resource Management and Social Psychology, having authored 16 papers that have together received 298 indexed citations. Recurring topics across this work include Behavioral and Psychological Studies (5 papers), Autism Spectrum Disorder Research (5 papers), Job Satisfaction and Organizational Behavior (3 papers), Virtual Reality Applications and Impacts (2 papers), Digital Economy and Work Transformation (2 papers), Attention Deficit Hyperactivity Disorder (2 papers), Cyberloafing and Workplace Behavior (2 papers) and Child Nutrition and Feeding Issues (1 paper). The work is most often cited by research in Organizational Behavior and Human Resource Management (70 citations), Developmental and Educational Psychology (62 citations), Health Informatics (6 citations), Information Systems and Management (27 citations) and Demography (40 citations). Daniel M. Ravid has collaborated with scholars based in United States. Frequent co-authors include Tara S. Behrend, David L. Tomczak, John McEachin, Ronald Leaf, Jeremy Leaf, Alyne Kassardjian, Justin B. Leaf, Mitchell Taubman, Misty L. Oppenheim‐Leaf and David P. Costanza. Their work appears in journals such as Industrial and Organizational Psychology, Journal of Vocational Behavior, Journal of Management, Education and training in autism and developmental disabilities and Annual Review of Organizational Psychology and Organizational Behavior.
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.