Michael C. White

61 papers receiving 1.4k citations

Peers

Michael C. White
Comparison fields: 5 of 171
  • Organizational Behavior and Human Resource Management 244
  • Endocrinology, Diabetes and Metabolism 164
  • Gender Studies 94
  • Accounting 109
  • Management of Technology and Innovation 70
Replace John L. Stanton with:
John L. Stanton United States
Neil A. Holtzman United States
David Gaddis Ross United States
Gilles Simard France
Barbara Pini Australia
Yuka Fujimoto Australia
James E. Nelson United States
Harry Staines United Kingdom
Maria Spano Italy
R. James Ferguson Canada
Michael C. White relative to John L. Stanton United States John L. Stanton's profile →
Citations per field
00.5×1.5×2.3×
John L. Stanton · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981171
2 1981145
3 1997127
4 1999122
5 1987112
6 198183
7 201370
8 198156
9 198351
10 199340
11 199636
12 199734
13 199733
14 198232
15 199831
16 198130
17 199229
18 200027
19 199725
20 198125

About Michael C. White

Michael C. White is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Mathematical Physics, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 63 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (6 papers), Pituitary Gland Disorders and Treatments (6 papers), Advanced Topics in Algebra (5 papers), Gender Diversity and Inequality (5 papers), Complex Systems and Decision Making (5 papers), Corporate Finance and Governance (4 papers), Chaos, Complexity, and Education (3 papers) and Family Business Performance and Succession (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (244 citations), Endocrinology, Diabetes and Metabolism (164 citations), Gender Studies (94 citations), Accounting (109 citations) and Management of Technology and Innovation (70 citations). Michael C. White has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ann M. Decker, Rufus L. Chaney, Michael D. Crino, Mark W. Smith, Rebecca G. Long, K. Michael Mathews, Valerie Speirs, Andrew R. Green, Victoria L. Green and Stephen L. Atkin. Their work appears in journals such as Human Relations, International Journal of Cancer, PLANT PHYSIOLOGY, Clinical Endocrinology and Academy of Management Journal.

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.

Explore authors with similar magnitude of impact