Abhra Sarkar
Impact in
- Developmental Biology top 2%
- Animal Vocal Communication and Behavior
- Pharmacy top 5%
- Infant Health and Development
Papers in
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- Bayesian Methods and Mixture Models 11
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- Statistical Methods and Bayesian Inference 9
- Statistical Methods and Inference 8
- Co-authors
- Erich D. Jarvis (5 shared papers)Jonathan Chabout (3 shared papers)David B. Dunson (1 shared paper)David B. Dunson (3 shared papers)Bani K. Mallick (6 shared papers)Raymond J. Carroll (5 shared papers)Simon E. Fisher (1 shared paper)Debdeep Pati (3 shared papers)
- Journals
- Journal of the American Statistical Association (7 papers)Bayesian Analysis (2 papers)Scientific Reports (2 papers)Journal of Computational and Graphical Statistics (2 papers)Frontiers in Behavioral Neuroscience (2 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Abhra Sarkar
26 papers receiving 364 citations
Peers
Comparison fields: 5 of 76
- Developmental Biology 143
- Pharmacy 62
- Social Psychology 146
- Statistics and Probability 49
- Computational Mathematics 3
Countries citing papers authored by Abhra Sarkar
This map shows the geographic impact of Abhra Sarkar'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 Abhra Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhra Sarkar more than expected).
Fields of papers citing papers by Abhra Sarkar
This network shows the impact of papers produced by Abhra Sarkar. 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 Abhra Sarkar. The network helps show where Abhra Sarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhra Sarkar, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 164 | |
| 2 | 2016 | 74 | |
| 3 | 2017 | 14 | |
| 4 | 2014 | 14 | |
| 5 | 2016 | 14 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 12 | |
| 8 | 2014 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 1 |
About Abhra Sarkar
Abhra Sarkar is a scholar working on Artificial Intelligence, Statistics and Probability, Ecology, Evolution, Behavior and Systematics, Developmental Biology and Ecology, having authored 27 papers that have together received 367 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (11 papers), Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (8 papers), Animal Behavior and Reproduction (4 papers), Animal Vocal Communication and Behavior (4 papers), Marine animal studies overview (3 papers), Nutritional Studies and Diet (2 papers) and Tensor decomposition and applications (2 papers). The work is most often cited by research in Developmental Biology (143 citations), Pharmacy (62 citations), Social Psychology (146 citations), Statistics and Probability (49 citations) and Computational Mathematics (3 citations). Abhra Sarkar has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Erich D. Jarvis, Jonathan Chabout, David B. Dunson, David B. Dunson, Bani K. Mallick, Raymond J. Carroll, Simon E. Fisher, Debdeep Pati, Bharath Chandrasekaran and Giorgio Paulon. Their work appears in journals such as Journal of the American Statistical Association, Bayesian Analysis, Scientific Reports, Journal of Computational and Graphical Statistics and Frontiers in Behavioral Neuroscience.
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.