Shweta Bansal
- Modeling and Simulation top 0.1%
- Public Health, Environmental and Occupational Health top 2%
- Epidemiology top 5%
- Infectious Diseases top 2%
- Statistical and Nonlinear Physics top 1%
- Co-authors
- Lauren Ancel MeyersBryan T. GrenfellColin J. CarlsonCasey M. ZipfelPratha SahCécile ViboudGregory F. AlberyGerardo Chowell
- Topics
- COVID-19 epidemiological studies (43 papers)Influenza Virus Research Studies (21 papers)Data-Driven Disease Surveillance (12 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Shweta Bansal
111 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Modeling and Simulation 1.5k
- Public Health, Environmental and Occupational Health 942
- Epidemiology 763
- Infectious Diseases 733
- Statistical and Nonlinear Physics 570
Countries citing papers authored by Shweta Bansal
This map shows the geographic impact of Shweta Bansal'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 Shweta Bansal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shweta Bansal more than expected).
Fields of papers citing papers by Shweta Bansal
This network shows the impact of papers produced by Shweta Bansal. 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 Shweta Bansal. The network helps show where Shweta Bansal may publish in the future.
Co-authorship network of co-authors of Shweta Bansal
This figure shows the co-authorship network connecting the top 25 collaborators of Shweta Bansal. A scholar is included among the top collaborators of Shweta Bansal 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 Shweta Bansal. Shweta Bansal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 22 | |
| 9 | 26 | |
| 10 | 13 | |
| 11 | 78 | |
| 12 | 20 | |
| 13 | 13 | |
| 14 | 19 | |
| 15 | 23 | |
| 16 | 100 | |
| 17 | 143 | |
| 18 | A newborn presenting with epidermolysis bullosa with duodenal atresia: A very rare case report and review of the literature | 2 |
| 19 | 39 | |
| 20 | 68 |
About Shweta Bansal
Shweta Bansal is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 118 papers that have together received 3.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (43 papers), Influenza Virus Research Studies (21 papers) and Data-Driven Disease Surveillance (12 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Statistical and Nonlinear Physics (570 citations) and Infectious Diseases (733 citations). Shweta Bansal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Lauren Ancel Meyers, Bryan T. Grenfell, Colin J. Carlson, Casey M. Zipfel, Pratha Sah, Cécile Viboud, Gregory F. Albery, Gerardo Chowell, Babak Pourbohloul and Lisa Sattenspiel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.