Michael V. Levine

3.0k citations
62 papers · 2.2k · h-index 24

Impact in

Papers in

Michael V. Levine

54 papers receiving 2.0k citations

Peers

Michael V. Levine
Comparison fields: 5 of 145
  • Management Science and Operations Research 884
  • Statistics and Probability 370
  • Applied Psychology 140
  • Computer Networks and Communications 457
  • Statistics, Probability and Uncertainty 131
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Clement A. Stone United States
Jean‐Claude Falmagne United States
Donald Laming United Kingdom
Martha L. Stocking United States
Laura Martignon Germany
Emmanuel M. Pothos United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael V. Levine

Since Specialization
Citations

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

Fields of papers citing papers by Michael V. Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985339
2 1995180
3 1979180
4 1981110
5 1987105
6 197989
7 201583
8 201482
9 201772
10 201667
11 198865
12 201464
13 199163
14 198261
15 202257
16 201956
17 201649
18 199644
19 197040
20 198339

About Michael V. Levine

Michael V. Levine is a scholar working on Molecular Biology, Management Science and Operations Research, Statistics and Probability, Cellular and Molecular Neuroscience and Computer Networks and Communications, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Psychometric Methodologies and Testing (15 papers), Receptor Mechanisms and Signaling (12 papers), Protein Structure and Dynamics (12 papers), Advanced Statistical Methods and Models (10 papers), Lipid Membrane Structure and Behavior (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Advanced Statistical Modeling Techniques (5 papers) and Multi-Criteria Decision Making (4 papers). The work is most often cited by research in Management Science and Operations Research (884 citations), Statistics and Probability (370 citations), Applied Psychology (140 citations), Computer Networks and Communications (457 citations) and Statistics, Probability and Uncertainty (131 citations). Michael V. Levine has collaborated with scholars based in United States, Denmark and Spain. Frequent co-authors include Fritz Drasgow, Harel Weinstein, Donald B. Rubin, George Khelashvili, Mary McLaughlin, Bruce A. Williams, Alan D. Mead, Lei Shi, James L. Wardrop and Robert L. Linn. Their work appears in journals such as Applied Psychological Measurement, Biophysical Journal, Journal of Mathematical Psychology, British Journal of Mathematical and Statistical Psychology and Journal of the American Chemical Society.

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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