Larry Goldstein
Impact in
- Statistics and Probability top 0.2%
- Random Matrices and Applications
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
- Markov Chains and Monte Carlo Methods
Papers in
-
- Random Matrices and Applications 25
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 10
- Markov Chains and Monte Carlo Methods 10
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- Stochastic processes and statistical mechanics 17
- Co-authors
- Bryan Langholz (6 shared papers)Richard Arratia (3 shared papers)Louis Gordon (3 shared papers)Qi-Man Shao (2 shared papers)Louis H. Y. Chen (1 shared paper)Ørnulf Borgan (2 shared papers)Michael S. Waterman (6 shared papers)Yosef Rinott (6 shared papers)
- Journals
- Advances in Applied Probability (8 papers)Journal of Applied Probability (8 papers)Transactions of the American Mathematical Society (6 papers)The Annals of Statistics (6 papers)Nagoya Mathematical Journal (5 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Larry Goldstein
110 papers receiving 2.2k citations
Larry Goldstein's Hit Papers
Peers
Comparison fields: 5 of 158
- Statistics and Probability 1.2k
- Discrete Mathematics and Combinatorics 276
- Mathematical Physics 571
- Algebra and Number Theory 181
- Applied Mathematics 302
Countries citing papers authored by Larry Goldstein
This map shows the geographic impact of Larry 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 Larry Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry Goldstein more than expected).
Fields of papers citing papers by Larry Goldstein
This network shows the impact of papers produced by Larry 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 Larry Goldstein. The network helps show where Larry Goldstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Larry 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 317 | |
| 2 | Normal Approximation by Stein’s Method Hit paper breakdown → | 2010 | 288 |
| 3 | 2000 | 206 | |
| 4 | 1990 | 199 | |
| 5 | 1996 | 149 | |
| 6 | 1995 | 139 | |
| 7 | 1992 | 100 | |
| 8 | 1996 | 80 | |
| 9 | Introduction to number theory | 1976 | 62 |
| 10 | Modern mathematics and its applications | 1980 | 58 |
| 11 | 1987 | 55 | |
| 12 | Analytic number theory | 1971 | 52 |
| 13 | 1992 | 48 | |
| 14 | 1990 | 35 | |
| 15 | 2005 | 32 | |
| 16 | 1996 | 29 | |
| 17 | 1988 | 26 | |
| 18 | 1992 | 22 | |
| 19 | 1993 | 22 | |
| 20 | 2013 | 22 |
About Larry Goldstein
Larry Goldstein is a scholar working on Statistics and Probability, Mathematical Physics, Algebra and Number Theory, Applied Mathematics and Artificial Intelligence, having authored 124 papers that have together received 2.5k indexed citations. Recurring topics across this work include Random Matrices and Applications (25 papers), Stochastic processes and statistical mechanics (17 papers), Analytic Number Theory Research (16 papers), Statistical Methods and Inference (13 papers), Bayesian Methods and Mixture Models (12 papers), Statistical Methods and Bayesian Inference (10 papers), Markov Chains and Monte Carlo Methods (10 papers) and Advanced Mathematical Identities (9 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Discrete Mathematics and Combinatorics (276 citations), Mathematical Physics (571 citations), Algebra and Number Theory (181 citations) and Applied Mathematics (302 citations). Larry Goldstein has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Bryan Langholz, Richard Arratia, Louis Gordon, Qi-Man Shao, Louis H. Y. Chen, Ørnulf Borgan, Michael S. Waterman, Yosef Rinott, Janice M. Pogoda and Sven Ove Samuelsen. Their work appears in journals such as Advances in Applied Probability, Journal of Applied Probability, Transactions of the American Mathematical Society, The Annals of Statistics and Nagoya Mathematical Journal.
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.