Swarnali Sharma
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Genetics top 10%
- Infectious Diseases
- Ecology
- Co-authors
- G. P. SamantaMalay BanerjeeS. GhoraiA. K. PalEdwin MichaelVitaly VolpertT. Déirdre HollingsworthSake J. de Vlas
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (24 papers)Evolution and Genetic Dynamics (13 papers)Parasitic Diseases Research and Treatment (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesThe Journal of Infectious Diseases
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Swarnali Sharma
35 papers receiving 593 citations
Peers
Comparison fields: 5 of 74
- Public Health, Environmental and Occupational Health 432
- Modeling and Simulation 284
- Genetics 232
- Infectious Diseases 111
- Ecology 67
Countries citing papers authored by Swarnali Sharma
This map shows the geographic impact of Swarnali Sharma'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 Swarnali Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swarnali Sharma more than expected).
Fields of papers citing papers by Swarnali Sharma
This network shows the impact of papers produced by Swarnali Sharma. 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 Swarnali Sharma. The network helps show where Swarnali Sharma may publish in the future.
Co-authorship network of co-authors of Swarnali Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of Swarnali Sharma. A scholar is included among the top collaborators of Swarnali Sharma 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 Swarnali Sharma. Swarnali Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 16 | |
| 7 | 18 | |
| 8 | 28 | |
| 9 | 4 | |
| 10 | 15 | |
| 11 | Analysis of A Predator-Prey Population Model | 1 |
| 12 | 47 | |
| 13 | 39 | |
| 14 | 34 | |
| 15 | 14 | |
| 16 | 24 | |
| 17 | 76 | |
| 18 | Analysis of An Epidemic Model with Non-Linear Incidence and Vaccination | 1 |
| 19 | 9 | |
| 20 | Control of bancroftian filariasis in a rural area through selected treatment with diethylcarbamazine. | 3 |
About Swarnali Sharma
Swarnali Sharma is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 35 papers that have together received 622 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (24 papers), Evolution and Genetic Dynamics (13 papers) and Parasitic Diseases Research and Treatment (10 papers). The work is most often cited by research in Modeling and Simulation (284 citations), Public Health, Environmental and Occupational Health (432 citations) and Genetics (232 citations). Swarnali Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include G. P. Samanta, Malay Banerjee, S. Ghorai, A. K. Pal, Edwin Michael, Vitaly Volpert, T. Déirdre Hollingsworth, Sake J. de Vlas, Wilma A. Stolk and Panayiota Touloupou. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and The Journal of Infectious Diseases.
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.