Debdeep Pati
Impact in
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
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- Bayesian Methods and Mixture Models 28
- Gaussian Processes and Bayesian Inference 12
- Target Tracking and Data Fusion in Sensor Networks 3
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- Statistical Methods and Inference 28
- Statistical Methods and Bayesian Inference 18
- Statistical Distribution Estimation and Applications 2
- Co-authors
- Anirban Bhattacharya (20 shared papers)David B. Dunson (6 shared papers)Natesh S. Pillai (2 shared papers)Yun Yang (4 shared papers)Brian J. Reich (1 shared paper)Bani K. Mallick (8 shared papers)Surya T. Tokdar (1 shared paper)Tanner Kirk (1 shared paper)
- Journals
- Journal of the American Statistical Association (7 papers)The Annals of Statistics (4 papers)Journal of Computational and Graphical Statistics (2 papers)Bayesian Analysis (2 papers)Big Data Mining and Analytics (1 paper)
- Partner nations
- United StatesCyprusAustralia
In The Last Decade
Debdeep Pati
40 papers receiving 756 citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 372
- Computational Mathematics 7
- Artificial Intelligence 339
- Statistics, Probability and Uncertainty 40
- Ecological Modeling 16
Countries citing papers authored by Debdeep Pati
This map shows the geographic impact of Debdeep Pati'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 Debdeep Pati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debdeep Pati more than expected).
Fields of papers citing papers by Debdeep Pati
This network shows the impact of papers produced by Debdeep Pati. 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 Debdeep Pati. The network helps show where Debdeep Pati may publish in the future.
Co-authors
The 25 scholars most cited alongside Debdeep Pati, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 221 | |
| 2 | 2021 | 86 | |
| 3 | 2011 | 61 | |
| 4 | 2018 | 46 | |
| 5 | 2018 | 41 | |
| 6 | 2013 | 40 | |
| 7 | 2016 | 31 | |
| 8 | 2014 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2019 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2013 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2020 | 5 |
About Debdeep Pati
Debdeep Pati is a scholar working on Artificial Intelligence, Statistics and Probability, Geometry and Topology, Computer Vision and Pattern Recognition and Molecular Biology, having authored 48 papers that have together received 766 indexed citations. Recurring topics across this work include Statistical Methods and Inference (28 papers), Bayesian Methods and Mixture Models (28 papers), Statistical Methods and Bayesian Inference (18 papers), Gaussian Processes and Bayesian Inference (12 papers), Morphological variations and asymmetry (5 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Statistical Distribution Estimation and Applications (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Statistics and Probability (372 citations), Computational Mathematics (7 citations), Artificial Intelligence (339 citations), Statistics, Probability and Uncertainty (40 citations) and Ecological Modeling (16 citations). Debdeep Pati has collaborated with scholars based in United States, Cyprus and Australia. Frequent co-authors include Anirban Bhattacharya, David B. Dunson, Natesh S. Pillai, Yun Yang, Brian J. Reich, Bani K. Mallick, Surya T. Tokdar, Tanner Kirk, Xiaoning Qian and Raymundo Arróyave. Their work appears in journals such as Journal of the American Statistical Association, The Annals of Statistics, Journal of Computational and Graphical Statistics, Bayesian Analysis and Big Data Mining and Analytics.
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.