Michael Sherman
- General Health Professions top 5%
- Environmental Engineering top 5%
- Statistics and Probability top 2%
- Economics and Econometrics top 5%
- Clinical Psychology top 10%
- Co-authors
- Yongtao GuanScott H. HolanDaniel B. LeGoffMarc G. GentonSaskia le CessieMiriam RoseJames A. CalvinCharles D. Phillips
- Topics
- Statistical Methods and Inference (13 papers)Statistical Methods and Bayesian Inference (12 papers)Soil Geostatistics and Mapping (10 papers)
- Journals
- NeuronSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesSwitzerlandSouth Korea
In The Last Decade
Michael Sherman
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 176
- General Health Professions 268
- Environmental Engineering 265
- Statistics and Probability 237
- Economics and Econometrics 210
- Clinical Psychology 198
Countries citing papers authored by Michael Sherman
This map shows the geographic impact of Michael Sherman'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 Sherman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sherman more than expected).
Fields of papers citing papers by Michael Sherman
This network shows the impact of papers produced by Michael Sherman. 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 Sherman. The network helps show where Michael Sherman may publish in the future.
Co-authorship network of co-authors of Michael Sherman
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sherman. A scholar is included among the top collaborators of Michael Sherman 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 Sherman. Michael Sherman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 25 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 21 | |
| 9 | 41 | |
| 10 | 88 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 32 | |
| 14 | 151 | |
| 15 | 49 | |
| 16 | 14 | |
| 17 | 74 | |
| 18 | 9 | |
| 19 | 12 | |
| 20 | 37 |
About Michael Sherman
Michael Sherman is a scholar working on Statistics and Probability, Environmental Engineering and Management Science and Operations Research, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Statistical Methods and Bayesian Inference (12 papers) and Soil Geostatistics and Mapping (10 papers). The work is most often cited by research in Statistics and Probability (237 citations), Environmental Engineering (265 citations) and Demography (169 citations). Michael Sherman has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Yongtao Guan, Scott H. Holan, Daniel B. LeGoff, Marc G. Genton, Saskia le Cessie, Miriam Rose, James A. Calvin, Charles D. Phillips, Charles D. Phillips and C. Hawes. Their work appears in journals such as Neuron, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.