Jyotishka Datta
- Statistics and Probability top 5%
- Statistical Methods and Inference 11
- Statistical Methods and Bayesian Inference 7
- Advanced Statistical Methods and Models 3
- Sensory Systems top 10%
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- COVID-19 epidemiological studies 3
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- Bayesian Methods and Mixture Models 5
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- Crime Patterns and Interventions 4
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- Data-Driven Disease Surveillance 4
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- COVID-19 Pandemic Impacts 2
- Co-authors
- Jayanta K. GhoshAravindakshan ParthasarathyEdward L. BartlettAnindya BhadraPhillip OwensDavid B. DunsonH. WinzelerZamir Libohova
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the American Statistical Association (1 paper)Blood (2 papers)
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Jyotishka Datta
28 papers receiving 276 citations
Peers
Comparison fields: 5 of 96
- Statistics and Probability 63
- Sensory Systems 35
- Modeling and Simulation 15
- Speech and Hearing 17
- Cognitive Neuroscience 45
Countries citing papers authored by Jyotishka Datta
This map shows the geographic impact of Jyotishka Datta'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 Jyotishka Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jyotishka Datta more than expected).
Fields of papers citing papers by Jyotishka Datta
This network shows the impact of papers produced by Jyotishka Datta. 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 Jyotishka Datta. The network helps show where Jyotishka Datta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jyotishka Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 12 | |
| 17 | Lasso Meets Horseshoe | 2017 | 2 |
| 18 | 2016 | 6 | |
| 19 | 2016 | 0 | |
| 20 | 2014 | 48 |
About Jyotishka Datta
Jyotishka Datta is a scholar working on Statistics and Probability, Modeling and Simulation and Health, having authored 31 papers that have together received 284 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Statistical Methods and Bayesian Inference (7 papers), Bayesian Methods and Mixture Models (5 papers), Crime Patterns and Interventions (4 papers), Data-Driven Disease Surveillance (4 papers), COVID-19 epidemiological studies (3 papers), Advanced Statistical Methods and Models (3 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Statistics and Probability (63 citations), Sensory Systems (35 citations) and Modeling and Simulation (15 citations). Jyotishka Datta has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Jayanta K. Ghosh, Aravindakshan Parthasarathy, Edward L. Bartlett, Anindya Bhadra, Phillip Owens, David B. Dunson, H. Winzeler, Zamir Libohova, Philip Schoeneberger and Bhramar Mukherjee. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Blood.
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.