Promit Ghosal
Impact in
- Statistics and Probability top 5%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Statistical Methods and Inference
- Mathematical Physics top 10%
- Stochastic processes and statistical mechanics
Papers in
-
- Random Matrices and Applications 11
- Markov Chains and Monte Carlo Methods 4
- Statistical Methods and Inference 3
-
- Stochastic processes and statistical mechanics 8
- advanced mathematical theories 3
- Co-authors
- Bodhisattva Sen (2 shared papers)Marcel Nutz (3 shared papers)Ivan Corwin (4 shared papers)Li‐Cheng Tsai (2 shared papers)Pierre Le Doussal (1 shared paper)Alexandre Krajenbrink (1 shared paper)Alan Hammond (1 shared paper)Hao Shen (1 shared paper)
- Journals
- Duke Mathematical Journal (2 papers)Communications in Mathematical Physics (2 papers)The Annals of Probability (2 papers)The Annals of Statistics (2 papers)Electronic Journal of Probability (2 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Promit Ghosal
16 papers receiving 160 citations
Peers
Comparison fields: 5 of 36
- Statistics and Probability 100
- Mathematical Physics 73
- Applied Mathematics 47
- Discrete Mathematics and Combinatorics 8
- Condensed Matter Physics 26
Countries citing papers authored by Promit Ghosal
This map shows the geographic impact of Promit Ghosal'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 Promit Ghosal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Promit Ghosal more than expected).
Fields of papers citing papers by Promit Ghosal
This network shows the impact of papers produced by Promit Ghosal. 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 Promit Ghosal. The network helps show where Promit Ghosal may publish in the future.
Co-authors
The 12 scholars most cited alongside Promit Ghosal, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 33 | |
| 2 | 2022 | 32 | |
| 3 | 2022 | 30 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 9 | |
| 6 | 2017 | 8 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2019 | 4 | |
| 11 | 2020 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2022 | 0 | |
| 20 | 2025 | 0 |
About Promit Ghosal
Promit Ghosal is a scholar working on Statistics and Probability, Mathematical Physics, Applied Mathematics, Condensed Matter Physics and Statistical and Nonlinear Physics, having authored 21 papers that have together received 167 indexed citations. Recurring topics across this work include Random Matrices and Applications (11 papers), Stochastic processes and statistical mechanics (8 papers), Theoretical and Computational Physics (6 papers), Markov Chains and Monte Carlo Methods (4 papers), Geometric Analysis and Curvature Flows (3 papers), Statistical Methods and Inference (3 papers), advanced mathematical theories (3 papers) and Point processes and geometric inequalities (3 papers). The work is most often cited by research in Statistics and Probability (100 citations), Mathematical Physics (73 citations), Applied Mathematics (47 citations), Discrete Mathematics and Combinatorics (8 citations) and Condensed Matter Physics (26 citations). Promit Ghosal has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Bodhisattva Sen, Marcel Nutz, Ivan Corwin, Li‐Cheng Tsai, Pierre Le Doussal, Alexandre Krajenbrink, Alan Hammond, Hao Shen, Elmar Plischke and Emanuele Borgonovo. Their work appears in journals such as Duke Mathematical Journal, Communications in Mathematical Physics, The Annals of Probability, The Annals of Statistics and Electronic Journal of Probability.
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.