Alina Deshpande
- Epidemiology top 10%
- Molecular Biology
- Modeling and Simulation top 2%
- Biomedical Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Nicholas GenerousReid PriedhorskyGeoffrey FairchildPaul S. WhiteSara Y. Del ValleKyle S. HickmannJames M. HymanJohn P. Nolan
- Topics
- Data-Driven Disease Surveillance (13 papers)Viral Infections and Outbreaks Research (7 papers)Zoonotic diseases and public health (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesSlovakiaAustralia
In The Last Decade
Alina Deshpande
38 papers receiving 798 citations
Peers
Comparison fields: 5 of 133
- Epidemiology 319
- Molecular Biology 259
- Modeling and Simulation 125
- Biomedical Engineering 106
- Public Health, Environmental and Occupational Health 88
Countries citing papers authored by Alina Deshpande
This map shows the geographic impact of Alina Deshpande'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 Alina Deshpande with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alina Deshpande more than expected).
Fields of papers citing papers by Alina Deshpande
This network shows the impact of papers produced by Alina Deshpande. 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 Alina Deshpande. The network helps show where Alina Deshpande may publish in the future.
Co-authorship network of co-authors of Alina Deshpande
This figure shows the co-authorship network connecting the top 25 collaborators of Alina Deshpande. A scholar is included among the top collaborators of Alina Deshpande 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 Alina Deshpande. Alina Deshpande is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 38 | |
| 6 | 18 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | Review on performance evaluation test method of evacuated tube collector (ETC) solar water heating system for domestic purpose. | 0 |
| 10 | 123 | |
| 11 | Detecting epidemics using Wikipedia article views: A demonstration of feasibility with language as location proxy. | 1 |
| 12 | 14 | |
| 13 | 113 | |
| 14 | 11 | |
| 15 | 24 | |
| 16 | 27 | |
| 17 | 8 | |
| 18 | 37 | |
| 19 | 84 | |
| 20 | 93 |
About Alina Deshpande
Alina Deshpande is a scholar working on Modeling and Simulation, Communication and Infectious Diseases, having authored 41 papers that have together received 813 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (13 papers), Viral Infections and Outbreaks Research (7 papers) and Zoonotic diseases and public health (6 papers). The work is most often cited by research in Modeling and Simulation (125 citations), Epidemiology (319 citations) and Communication (53 citations). Alina Deshpande has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Nicholas Generous, Reid Priedhorsky, Geoffrey Fairchild, Paul S. White, Sara Y. Del Valle, Kyle S. Hickmann, James M. Hyman, John P. Nolan, David C. Torney and Ashlynn R. Daughton. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.