Anirban Dasgupta
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 1%
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.2%
- Co-authors
- Lawrence D. BrownTommaso CaiMichael W. MahoneyJure LeskovecKevin LangRavi KumarTom WexlerElliot Anshelevich
- Topics
- Statistical Methods and Bayesian Inference (17 papers)Advanced Statistical Methods and Models (17 papers)Statistical Distribution Estimation and Applications (13 papers)
- Cited by
- Statistics and ProbabilityStatistical and Nonlinear PhysicsManagement Science and Operations Research
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Anirban Dasgupta
99 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Artificial Intelligence 2.0k
- Statistical and Nonlinear Physics 1.5k
- Computer Networks and Communications 1.1k
- Management Science and Operations Research 1.1k
- Statistics and Probability 996
Countries citing papers authored by Anirban Dasgupta
This map shows the geographic impact of Anirban Dasgupta'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 Anirban Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anirban Dasgupta more than expected).
Fields of papers citing papers by Anirban Dasgupta
This network shows the impact of papers produced by Anirban Dasgupta. 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 Anirban Dasgupta. The network helps show where Anirban Dasgupta may publish in the future.
Co-authorship network of co-authors of Anirban Dasgupta
This figure shows the co-authorship network connecting the top 25 collaborators of Anirban Dasgupta. A scholar is included among the top collaborators of Anirban Dasgupta 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 Anirban Dasgupta. Anirban Dasgupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | On Coresets for Regularized Regression | 1 |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | Summarization Through Submodularity and Dispersion | 24 |
| 8 | Selecting Diverse Features via Spectral Regularization | 20 |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 86 | |
| 13 | 3 | |
| 14 | 63 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | A contemporary review and bibliography of infinitely divisible distributions and processes | 20 |
| 18 | 0 | |
| 19 | 11 | |
| 20 | 12 |
About Anirban Dasgupta
Anirban Dasgupta is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 108 papers that have together received 7.5k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Advanced Statistical Methods and Models (17 papers) and Statistical Distribution Estimation and Applications (13 papers). The work is most often cited by research in Statistics and Probability (996 citations), Statistical and Nonlinear Physics (1.5k citations) and Management Science and Operations Research (1.1k citations). Anirban Dasgupta has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Lawrence D. Brown, Tommaso Cai, Michael W. Mahoney, Jure Leskovec, Kevin Lang, Ravi Kumar, Tom Wexler, Elliot Anshelevich, Éva Tardos and Kilian Q. Weinberger. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.