Michael Goldstein

134 papers receiving 3.1k citations

Peers

Michael Goldstein
Comparison fields: 5 of 160
  • Statistics, Probability and Uncertainty 625
  • Statistics and Probability 537
  • Management Science and Operations Research 532
  • General Decision Sciences 76
  • History and Philosophy of Science 178
Replace David Cox with:
David Cox United Kingdom
Bruce M. Hill United States
José M. Bernardo Spain
M. J. Bayarri Spain
James V. Zidek Canada
Malay Ghosh United States
Michel Loève United States
H. D. Miller United Kingdom
Paul G. Hoel United States
Б. Л. С. Пракаса Рао India
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Citations per field
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Citations per year

Countries citing papers authored by Michael Goldstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael Goldstein Line = papers co-authored together Michael Goldstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993274
2 2001172
3 2010161
4 2006143
5 2013131
6 1997131
7 2008107
8 2015104
9 2007102
10 201097
11 197492
12 200477
13 200776
14 198373
15 200170
16 200666
17
Galaxy Formation: Bayesian History Matching for the Observable Universe
201660
18 199657
19 201853
20 200253

About Michael Goldstein

Michael Goldstein is a scholar working on Artificial Intelligence, Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research and Computational Theory and Mathematics, having authored 140 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (18 papers), Probabilistic and Robust Engineering Design (17 papers), Gaussian Processes and Bayesian Inference (17 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Bayesian Modeling and Causal Inference (16 papers), Reservoir Engineering and Simulation Methods (16 papers), Advanced Statistical Process Monitoring (13 papers) and Simulation Techniques and Applications (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (625 citations), Statistics and Probability (537 citations), Management Science and Operations Research (532 citations), General Decision Sciences (76 citations) and History and Philosophy of Science (178 citations). Michael Goldstein has collaborated with scholars based in United Kingdom, United States and Uganda. Frequent co-authors include J Rougier, Ian Vernon, David Wooff, Allan Seheult, Peter Craig, Peter Urbach, C. Howson, R. G. Bower, James A Smith and A. F. M. Smith. Their work appears in journals such as Journal of the American Statistical Association, Journal of Statistical Planning and Inference, Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology) 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.

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