Anuj Mubayi
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Infectious Diseases top 10%
- Epidemiology
- Sociology and Political Science top 10%
- Co-authors
- Carlos Castillo‐ChávezSherry TowersAndrés Gómez-LiévanoMaryam KhanAbhishek PandeyJan MedlockChristopher M. Kribs-ZaletaPriscilla E. Greenwood
- Topics
- COVID-19 epidemiological studies (24 papers)Evacuation and Crowd Dynamics (9 papers)Research on Leishmaniasis Studies (8 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Infectious Diseases
- Partner nations
- United StatesPuerto RicoColombia
In The Last Decade
Anuj Mubayi
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 134
- Public Health, Environmental and Occupational Health 426
- Modeling and Simulation 326
- Infectious Diseases 242
- Epidemiology 236
- Sociology and Political Science 170
Countries citing papers authored by Anuj Mubayi
This map shows the geographic impact of Anuj Mubayi'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 Anuj Mubayi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Mubayi more than expected).
Fields of papers citing papers by Anuj Mubayi
This network shows the impact of papers produced by Anuj Mubayi. 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 Anuj Mubayi. The network helps show where Anuj Mubayi may publish in the future.
Co-authorship network of co-authors of Anuj Mubayi
This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Mubayi. A scholar is included among the top collaborators of Anuj Mubayi 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 Anuj Mubayi. Anuj Mubayi 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 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 25 | |
| 11 | 21 | |
| 12 | 28 | |
| 13 | 5 | |
| 14 | 99 | |
| 15 | 152 | |
| 16 | 8 | |
| 17 | 64 | |
| 18 | 12 | |
| 19 | 35 | |
| 20 | 54 |
About Anuj Mubayi
Anuj Mubayi is a scholar working on Modeling and Simulation, Infectious Diseases and Ocean Engineering, having authored 51 papers that have together received 1.0k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (24 papers), Evacuation and Crowd Dynamics (9 papers) and Research on Leishmaniasis Studies (8 papers). The work is most often cited by research in Modeling and Simulation (326 citations), Public Health, Environmental and Occupational Health (426 citations) and Infectious Diseases (242 citations). Anuj Mubayi has collaborated with scholars based in United States, Puerto Rico and Colombia. Frequent co-authors include Carlos Castillo‐Chávez, Sherry Towers, Andrés Gómez-Liévano, Maryam Khan, Abhishek Pandey, Jan Medlock, Christopher M. Kribs-Zaleta, Priscilla E. Greenwood, Gerardo Chowell and Ashok Srinivasan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.