Michael Goldstein
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Bayesian Inference
- Markov Chains and Monte Carlo Methods
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- Probabilistic and Robust Engineering Design
Papers in
-
- Statistical Methods and Bayesian Inference 40
- Probability and Statistical Research 15
- Statistical Distribution Estimation and Applications 8
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- Gaussian Processes and Bayesian Inference 23
- Bayesian Modeling and Causal Inference 23
- Co-authors
- J Rougier (8 shared papers)Ian Vernon (24 shared papers)David A. Wooff (9 shared papers)Allan H. Seheult (5 shared papers)Peter S. Craig (4 shared papers)Peter Urbach (1 shared paper)C. Howson (1 shared paper)Richard G. Bower (4 shared papers)
- Journals
- Journal of Statistical Planning and Inference (8 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (7 papers)Journal of the American Statistical Association (7 papers)Biometrika (6 papers)The Annals of Statistics (5 papers)
- Partner nations
- United KingdomBrazilUganda
In The Last Decade
Michael Goldstein
120 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 138
- Statistics and Probability 752
- Statistics, Probability and Uncertainty 429
- Artificial Intelligence 850
- Management Science and Operations Research 362
- Global and Planetary Change 396
Countries citing papers authored by Michael Goldstein
This map shows the geographic impact of Michael Goldstein'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 Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Goldstein more than expected).
Fields of papers citing papers by Michael Goldstein
This network shows the impact of papers produced by Michael Goldstein. 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 Goldstein. The network helps show where Michael Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Goldstein, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 263 | |
| 2 | 2001 | 175 | |
| 3 | 2010 | 168 | |
| 4 | 2006 | 148 | |
| 5 | 2013 | 146 | |
| 6 | 1997 | 130 | |
| 7 | 2015 | 110 | |
| 8 | 2010 | 108 | |
| 9 | 2008 | 104 | |
| 10 | 2007 | 102 | |
| 11 | 1983 | 98 | |
| 12 | 1974 | 86 | |
| 13 | 2004 | 78 | |
| 14 | 2007 | 74 | |
| 15 | 2006 | 65 | |
| 16 | 2018 | 61 | |
| 17 | 2018 | 60 | |
| 18 | 1996 | 59 | |
| 19 | 2002 | 52 | |
| 20 | 2009 | 50 |
About Michael Goldstein
Michael Goldstein is a scholar working on Statistics and Probability, Artificial Intelligence, Statistics, Probability and Uncertainty, Management Science and Operations Research and Ocean Engineering, having authored 123 papers that have together received 3.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (40 papers), Gaussian Processes and Bayesian Inference (23 papers), Bayesian Modeling and Causal Inference (23 papers), Probabilistic and Robust Engineering Design (16 papers), Probability and Statistical Research (15 papers), Optimal Experimental Design Methods (9 papers), Reservoir Engineering and Simulation Methods (9 papers) and Statistical Distribution Estimation and Applications (8 papers). The work is most often cited by research in Statistics and Probability (752 citations), Statistics, Probability and Uncertainty (429 citations), Artificial Intelligence (850 citations), Management Science and Operations Research (362 citations) and Global and Planetary Change (396 citations). Michael Goldstein has collaborated with scholars based in United Kingdom, Brazil and Uganda. Frequent co-authors include J Rougier, Ian Vernon, David A. Wooff, Allan H. Seheult, Peter S. Craig, Peter Urbach, C. Howson, Richard G. Bower, James Alexander Smith and A. F. M. Smith. Their work appears in journals such as Journal of Statistical Planning and Inference, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the American Statistical Association, Biometrika and The Annals of Statistics.
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.