Pejman Rohani
Impact in
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies
- Microbiology top 0.2%
- Bacterial Infections and Vaccines
Papers in
-
- COVID-19 epidemiological studies 56
- Microbiology 34
- Bacterial Infections and Vaccines 34
- Co-authors
- Matt J. KeelingBryan T. GrenfellDavid J. D. EarnHelen J. WearingJohn M. DrakeAaron A. KingSonia AltizerAndrew P. Dobson
- Journals
- Proceedings of the Royal Society B Biological Sciences (17 papers)Journal of The Royal Society Interface (13 papers)Proceedings of the National Academy of Sciences (8 papers)PLoS Computational Biology (7 papers)Journal of Animal Ecology (6 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Pejman Rohani
157 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Modeling and Simulation 4.6k
- Microbiology 1.1k
- Public Health, Environmental and Occupational Health 4.7k
- Infectious Diseases 2.9k
- Agronomy and Crop Science 1.2k
Countries citing papers authored by Pejman Rohani
This map shows the geographic impact of Pejman Rohani'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 Pejman Rohani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pejman Rohani more than expected).
Fields of papers citing papers by Pejman Rohani
This network shows the impact of papers produced by Pejman Rohani. 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 Pejman Rohani. The network helps show where Pejman Rohani may publish in the future.
Co-authors
The 25 scholars most cited alongside Pejman Rohani, 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 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 63 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 6 | |
| 14 | 2018 | 22 | |
| 15 | 2017 | 38 | |
| 16 | 2017 | 21 | |
| 17 | Modeling Infectious Diseases in Humans and Animals Hit paper breakdown → | 2011 | 1827 |
| 18 | 2009 | 15 | |
| 19 | 2009 | 199 | |
| 20 | 2006 | 243 |
About Pejman Rohani
Pejman Rohani is a scholar working on Modeling and Simulation, Microbiology, Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 165 papers that have together received 12.9k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (56 papers), Influenza Virus Research Studies (52 papers), Mathematical and Theoretical Epidemiology and Ecology Models (38 papers), Bacterial Infections and Vaccines (34 papers), Evolution and Genetic Dynamics (34 papers), Pneumonia and Respiratory Infections (22 papers), Animal Ecology and Behavior Studies (20 papers) and Ecosystem dynamics and resilience (17 papers). The work is most often cited by research in Modeling and Simulation (4.6k citations), Microbiology (1.1k citations), Public Health, Environmental and Occupational Health (4.7k citations), Infectious Diseases (2.9k citations) and Agronomy and Crop Science (1.2k citations). Pejman Rohani has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Matt J. Keeling, Bryan T. Grenfell, David J. D. Earn, Helen J. Wearing, John M. Drake, Aaron A. King, Sonia Altizer, Andrew P. Dobson, Mercedes Pascual and Peter J. Hudson. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, Journal of The Royal Society Interface, Proceedings of the National Academy of Sciences, PLoS Computational Biology and Journal of Animal Ecology.
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.