Nita Madhav

10 papers and 320 indexed citations i.

About

Nita Madhav is a scholar working on Modeling and Simulation, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Nita Madhav has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 5 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Nita Madhav’s work include COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (4 papers) and Viral Infections and Vectors (2 papers). Nita Madhav is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Viral Infections and Outbreaks Research (4 papers) and Viral Infections and Vectors (2 papers). Nita Madhav collaborates with scholars based in United States, Canada and Indonesia. Nita Madhav's co-authors include Ben Oppenheim, Durland Fish, John S. Brownstein, Jean I. Tsao, Mark Gallivan, Nathan Wolfe, Patrick Ayscue, James N. Mills, Kent D. Wagoner and Richard J. Douglass and has published in prestigious journals such as PLoS ONE, Journal of Medical Entomology and International Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Nita Madhav i

Fields of papers citing papers by Nita Madhav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nita Madhav. 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 Nita Madhav. The network helps show where Nita Madhav may publish in the future.

Countries citing papers authored by Nita Madhav

Since Specialization
Citations

This map shows the geographic impact of Nita Madhav'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 Nita Madhav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nita Madhav more than expected).

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.

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2025