Michael C. White

1.6k total citations
56 papers, 1.1k citations indexed

About

Michael C. White is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Michael C. White has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organizational Behavior and Human Resource Management, 8 papers in Sociology and Political Science and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Michael C. White's work include Complex Systems and Decision Making (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Advanced Operator Algebra Research (5 papers). Michael C. White is often cited by papers focused on Complex Systems and Decision Making (5 papers), Pituitary Gland Disorders and Treatments (5 papers) and Advanced Operator Algebra Research (5 papers). Michael C. White collaborates with scholars based in United States, United Kingdom and Canada. Michael C. White's co-authors include Michael D. Crino, Mark W. Smith, Rebecca G. Long, K. Michael Mathews, Valerie Speirs, Andrew R. Green, Victoria L. Green, Stephen L. Atkin, Tim Barnett and William H. Friedman and has published in prestigious journals such as Academy of Management Journal, Administrative Science Quarterly and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Michael C. White

55 papers receiving 1.0k citations

Peers

Michael C. White
Comparison fields: 5 of 153
  • Organizational Behavior and Human Resource Management 233
  • Endocrinology, Diabetes and Metabolism 174
  • Molecular Biology 129
  • Strategy and Management 118
  • Social Psychology 111
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Citations per field, relative to Michael C. White
Michael C. White · 1×
Citations per year, relative to Michael C. White
Michael C. White · 1×

Countries citing papers authored by Michael C. White

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. White. 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 C. White. The network helps show where Michael C. White may publish in the future.

Co-authorship network of co-authors of Michael C. White

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. White. A scholar is included among the top collaborators of Michael C. White based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael C. White. Michael C. White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 67
3 2
4 1
5 4
6 6
7 5
8 33
9 26
10 122
11 2
12 20
13 35
14 18
15 10
16 36
17 29
18 7
19 18
20 22

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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