Michael Levine
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Statistical Methods and Inference 13
- Advanced Statistical Methods and Models 5
- Statistical Methods and Bayesian Inference 3
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- Bayesian Methods and Mixture Models 6
- Co-authors
- Lawrence D. Brown (2 shared papers)George E. Moore (5 shared papers)David R. Hunter (1 shared paper)Didier Chauveau (1 shared paper)Moon Her (1 shared paper)Lie Wang (1 shared paper)Hu Suk Lee (1 shared paper)Tommaso Cai (1 shared paper)
- Journals
- Journal of Multivariate Analysis (2 papers)Preventive Veterinary Medicine (2 papers)Electronic Journal of Statistics (2 papers)Bernoulli (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- United StatesSouth KoreaColombia
In The Last Decade
Michael Levine
25 papers receiving 362 citations
Peers
Comparison fields: 5 of 107
- Statistics and Probability 137
- Computational Mathematics 4
- Small Animals 39
- Parasitology 34
- Statistics, Probability and Uncertainty 27
Countries citing papers authored by Michael Levine
This map shows the geographic impact of Michael 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 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 Levine more than expected).
Fields of papers citing papers by Michael Levine
This network shows the impact of papers produced by Michael 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 Levine. The network helps show where Michael Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 80 | |
| 2 | 2012 | 41 | |
| 3 | 2011 | 37 | |
| 4 | 1991 | 33 | |
| 5 | 2008 | 29 | |
| 6 | 2014 | 27 | |
| 7 | 2005 | 23 | |
| 8 | 2013 | 21 | |
| 9 | 2019 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2009 | 11 | |
| 12 | 2007 | 9 | |
| 13 | 2009 | 9 | |
| 14 | 2006 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2012 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2018 | 2 |
About Michael Levine
Michael Levine is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Small Animals and Finance, having authored 26 papers that have together received 384 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Statistical Methods and Models (5 papers), Optimal Experimental Design Methods (4 papers), Statistical Methods and Bayesian Inference (3 papers), Financial Risk and Volatility Modeling (3 papers), Veterinary Medicine and Surgery (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistics and Probability (137 citations), Computational Mathematics (4 citations), Small Animals (39 citations), Parasitology (34 citations) and Statistics, Probability and Uncertainty (27 citations). Michael Levine has collaborated with scholars based in United States, South Korea and Colombia. Frequent co-authors include Lawrence D. Brown, George E. Moore, David R. Hunter, Didier Chauveau, Moon Her, Lie Wang, Hu Suk Lee, Tommaso Cai, Mary E. Swigar and Boris M. Astrachan. Their work appears in journals such as Journal of Multivariate Analysis, Preventive Veterinary Medicine, Electronic Journal of Statistics, Bernoulli and Computational Statistics & Data Analysis.
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.