Timothy C. Reluga
Impact in
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- COVID-19 epidemiological studies 19
-
- Mathematical and Theoretical Epidemiology and Ecology Models 17
- Zoonotic diseases and public health 3
- Co-authors
- Alison P. GalvaniGretchen B. ChapmanChris T. BauchJan MedlockHong QianAlan S. PerelsonRéka AlbertAssieh Saadatpour
- Journals
- Theoretical Population Biology (4 papers)Bulletin of Mathematical Biology (4 papers)Journal of Theoretical Biology (3 papers)Mathematical Biosciences (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Timothy C. Reluga
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 131
- Modeling and Simulation 800
- Health 155
- Public Health, Environmental and Occupational Health 523
- Statistical and Nonlinear Physics 201
- Genetics 281
Countries citing papers authored by Timothy C. Reluga
This map shows the geographic impact of Timothy C. Reluga'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 Timothy C. Reluga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy C. Reluga more than expected).
Fields of papers citing papers by Timothy C. Reluga
This network shows the impact of papers produced by Timothy C. Reluga. 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 Timothy C. Reluga. The network helps show where Timothy C. Reluga may publish in the future.
Co-authors
The 23 scholars most cited alongside Timothy C. Reluga, 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 | 2019 | 15 | |
| 2 | 2018 | 5 | |
| 3 | 2013 | 21 | |
| 4 | 2013 | 63 | |
| 5 | 2012 | 14 | |
| 6 | 2011 | 60 | |
| 7 | 2011 | 101 | |
| 8 | 2009 | 52 | |
| 9 | 2009 | 40 | |
| 10 | 2008 | 46 | |
| 11 | 2007 | 213 | |
| 12 | 2007 | 16 | |
| 13 | 2007 | 20 | |
| 14 | 2007 | 21 | |
| 15 | 2006 | 13 | |
| 16 | 2006 | 177 | |
| 17 | 2005 | 29 | |
| 18 | 2005 | 88 | |
| 19 | 2004 | 40 | |
| 20 | 2004 | 9 |
About Timothy C. Reluga
Timothy C. Reluga is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Genetics, Business and International Management and Mathematical Physics, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (17 papers), Evolution and Genetic Dynamics (15 papers), Influenza Virus Research Studies (4 papers), Gene Regulatory Network Analysis (3 papers), Stochastic processes and statistical mechanics (3 papers), Zoonotic diseases and public health (3 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Modeling and Simulation (800 citations), Health (155 citations), Public Health, Environmental and Occupational Health (523 citations), Statistical and Nonlinear Physics (201 citations) and Genetics (281 citations). Timothy C. Reluga has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Alison P. Galvani, Gretchen B. Chapman, Chris T. Bauch, Jan Medlock, Hong Qian, Alan S. Perelson, Réka Albert, Assieh Saadatpour, Steven V. Viscido and Harel Dahari. Their work appears in journals such as Theoretical Population Biology, Bulletin of Mathematical Biology, Journal of Theoretical Biology, Mathematical Biosciences and PLoS Computational Biology.
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.