Naveen K. Vaidya
- Virology top 2%
- HIV Research and Treatment 18
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies 19
- Infectious Diseases top 5%
- HIV/AIDS Research and Interventions 12
- Viral Infections and Vectors 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 18
- Mosquito-borne diseases and control 7
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- Influenza Virus Research Studies 7
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- Immune Cell Function and Interaction 6
- Co-authors
- Feng‐Bin WangAlan S. PerelsonAnil KumarXingfu ZouJian WuRuy M. RibeiroPrakash Chand NegiJS Thakur
- Journals
- Scientific Reports (5 papers)Mathematical Biosciences (4 papers)Journal of Theoretical Biology (4 papers)
- Partner nations
- United StatesCanadaNepal
In The Last Decade
Naveen K. Vaidya
54 papers receiving 975 citations
Peers
Comparison fields: 5 of 120
- Virology 326
- Modeling and Simulation 250
- Infectious Diseases 418
- Public Health, Environmental and Occupational Health 364
- Biological Psychiatry 18
Countries citing papers authored by Naveen K. Vaidya
This map shows the geographic impact of Naveen K. Vaidya'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 Naveen K. Vaidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naveen K. Vaidya more than expected).
Fields of papers citing papers by Naveen K. Vaidya
This network shows the impact of papers produced by Naveen K. Vaidya. 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 Naveen K. Vaidya. The network helps show where Naveen K. Vaidya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naveen K. Vaidya, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 48 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 17 | |
| 12 | 2017 | 11 | |
| 13 | 2016 | 20 | |
| 14 | 2016 | 43 | |
| 15 | 2016 | 41 | |
| 16 | 2015 | 59 | |
| 17 | 2012 | 169 | |
| 18 | 2012 | 5 | |
| 19 | 2011 | 26 | |
| 20 | 2007 | 3 |
About Naveen K. Vaidya
Naveen K. Vaidya is a scholar working on Virology, Modeling and Simulation and Infectious Diseases, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), HIV Research and Treatment (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), HIV/AIDS Research and Interventions (12 papers), Influenza Virus Research Studies (7 papers), Viral Infections and Vectors (7 papers), Mosquito-borne diseases and control (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Virology (326 citations), Modeling and Simulation (250 citations) and Infectious Diseases (418 citations). Naveen K. Vaidya has collaborated with scholars based in United States, Canada and Nepal. Frequent co-authors include Feng‐Bin Wang, Alan S. Perelson, Anil Kumar, Xingfu Zou, Jian Wu, Ruy M. Ribeiro, Prakash Chand Negi, JS Thakur, Elisa F Long and Margaret L. Brandeau. Their work appears in journals such as Scientific Reports, Mathematical Biosciences, Journal of Theoretical Biology, Bulletin of Mathematical Biology and Discrete and Continuous Dynamical Systems - B.
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.