Debraj Das
Impact in
- Pharmacy top 10%
- Obesity and Health Practices
Papers in
-
- Diffusion and Search Dynamics 7
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- Advanced Thermodynamics and Statistical Mechanics 5
- Statistical Mechanics and Entropy 4
- Co-authors
- Jeffrey Johnson (1 shared paper)Sumit R. Majumdar (1 shared paper)Lindsey M. Warkentin (1 shared paper)Raj Padwal (1 shared paper)Shamik Gupta (8 shared papers)Luca Giuggioli (4 shared papers)Sushanta Dattagupta (2 shared papers)Bhabani P. Sinha (2 shared papers)
- Journals
- Journal of Physics A Mathematical and Theoretical (3 papers)Canadian Medical Association Journal (3 papers)Bernoulli (2 papers)Circulation Cardiovascular Interventions (1 paper)Frontiers in Ecology and Evolution (1 paper)
- Partner nations
- IndiaCanadaUnited Kingdom
In The Last Decade
Debraj Das
29 papers receiving 346 citations
Peers
Comparison fields: 5 of 80
- Pharmacy 22
- Acoustics and Ultrasonics 2
- Statistical and Nonlinear Physics 26
- Statistics and Probability 17
- Cardiology and Cardiovascular Medicine 40
Countries citing papers authored by Debraj Das
This map shows the geographic impact of Debraj Das'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 Debraj Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debraj Das more than expected).
Fields of papers citing papers by Debraj Das
This network shows the impact of papers produced by Debraj Das. 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 Debraj Das. The network helps show where Debraj Das may publish in the future.
Co-authors
The 25 scholars most cited alongside Debraj Das, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 154 | |
| 2 | 2019 | 25 | |
| 3 | 2012 | 21 | |
| 4 | 1997 | 21 | |
| 5 | 2022 | 19 | |
| 6 | 2017 | 18 | |
| 7 | 2022 | 16 | |
| 8 | 2019 | 12 | |
| 9 | 2022 | 9 | |
| 10 | 2014 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2002 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2025 | 2 |
About Debraj Das
Debraj Das is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Artificial Intelligence, Statistics and Probability and Computer Networks and Communications, having authored 32 papers that have together received 356 indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (7 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Statistical Methods and Inference (4 papers), Statistical Mechanics and Entropy (4 papers), Stochastic processes and statistical mechanics (3 papers), Theoretical and Computational Physics (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Pharmacy (22 citations), Acoustics and Ultrasonics (2 citations), Statistical and Nonlinear Physics (26 citations), Statistics and Probability (17 citations) and Cardiology and Cardiovascular Medicine (40 citations). Debraj Das has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Jeffrey Johnson, Sumit R. Majumdar, Lindsey M. Warkentin, Raj Padwal, Shamik Gupta, Luca Giuggioli, Sushanta Dattagupta, Bhabani P. Sinha, Justin A. Ezekowitz and Mallika De. Their work appears in journals such as Journal of Physics A Mathematical and Theoretical, Canadian Medical Association Journal, Bernoulli, Circulation Cardiovascular Interventions and Frontiers in Ecology and Evolution.
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.