Mark J. Schervish
- Management Science and Operations Research top 0.05%
- Artificial Intelligence top 0.5%
- Industrial and Manufacturing Engineering top 0.1%
- Statistics and Probability top 0.2%
- Management Information Systems top 0.5%
- Co-authors
- W. David KeltonAverill M. LawChristopher J. PaciorekTeddy SeidenfeldJoseph B. KadaneCari G. KaufmanDouglas NychkaMichael Lavine
- Topics
- Bayesian Modeling and Causal Inference (19 papers)Decision-Making and Behavioral Economics (17 papers)Bayesian Methods and Mixture Models (11 papers)
- Cited by
- Management Science and Operations ResearchGeneral Decision SciencesStatistics and Probability
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Mark J. Schervish
110 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Management Science and Operations Research 3.0k
- Artificial Intelligence 1.9k
- Industrial and Manufacturing Engineering 1.6k
- Statistics and Probability 1.5k
- Management Information Systems 1.2k
Countries citing papers authored by Mark J. Schervish
This map shows the geographic impact of Mark J. Schervish'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 Mark J. Schervish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Schervish more than expected).
Fields of papers citing papers by Mark J. Schervish
This network shows the impact of papers produced by Mark J. Schervish. 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 Mark J. Schervish. The network helps show where Mark J. Schervish may publish in the future.
Co-authorship network of co-authors of Mark J. Schervish
This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Schervish. A scholar is included among the top collaborators of Mark J. Schervish 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 Mark J. Schervish. Mark J. Schervish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 23 | |
| 5 | 26 | |
| 6 | 68 | |
| 7 | 289 | |
| 8 | 18 | |
| 9 | Nonstationary Covariance Functions for Gaussian Process Regression | 199 |
| 10 | 171 | |
| 11 | Student's solutions manual to accompany probability and statistics | 3 |
| 12 | 25 | |
| 13 | 35 | |
| 14 | 5 | |
| 15 | 56 | |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 3 | |
| 19 | 102 | |
| 20 | Some Results on Classifying an Observation Into One of Several Multivariate Normal Populations With Equal Covariance Matrices | 1 |
About Mark J. Schervish
Mark J. Schervish is a scholar working on General Decision Sciences, Statistics and Probability and Management Science and Operations Research, having authored 118 papers that have together received 10.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (19 papers), Decision-Making and Behavioral Economics (17 papers) and Bayesian Methods and Mixture Models (11 papers). The work is most often cited by research in Management Science and Operations Research (3.0k citations), General Decision Sciences (374 citations) and Statistics and Probability (1.5k citations). Mark J. Schervish has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include W. David Kelton, Averill M. Law, Christopher J. Paciorek, Teddy Seidenfeld, Joseph B. Kadane, Cari G. Kaufman, Douglas Nychka, Michael Lavine, John W. Pratt and Robert Schlaifer. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.