Nathan Breit
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- ICT in Developing Communities 4
-
- SARS-CoV-2 detection and testing 3
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Toph Allen (7 shared papers)Kevin J. Olival (3 shared papers)Carlos Zambrana‐Torrelio (3 shared papers)Kris A. Murray (3 shared papers)Carlo Rondinini (3 shared papers)Stephen S. Morse (3 shared papers)Moreno Di Marco (3 shared papers)Peter Daszak (1 shared paper)
- Journals
- International Journal of Infectious Diseases (2 papers)PLoS Currents (1 paper)Nature Communications (1 paper)Journal of Pathology Informatics (1 paper)The Lancet Regional Health - Americas (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Nathan Breit
16 papers receiving 902 citations
Nathan Breit's Hit Papers
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 118
- Infectious Diseases 355
- Public Health, Environmental and Occupational Health 461
- Agronomy and Crop Science 179
- Parasitology 32
Countries citing papers authored by Nathan Breit
This map shows the geographic impact of Nathan Breit'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 Nathan Breit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Breit more than expected).
Fields of papers citing papers by Nathan Breit
This network shows the impact of papers produced by Nathan Breit. 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 Nathan Breit. The network helps show where Nathan Breit may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Breit, 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 | Global hotspots and correlates of emerging zoonotic diseases Hit paper breakdown → | 2017 | 693 |
| 2 | 2013 | 112 | |
| 3 | 2020 | 37 | |
| 4 | 2012 | 25 | |
| 5 | 2013 | 19 | |
| 6 | 2016 | 14 | |
| 7 | 2016 | 8 | |
| 8 | Improving form-based data entry with image snippets | 2013 | 6 |
| 9 | 2021 | 5 | |
| 10 | 2022 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 1 |
About Nathan Breit
Nathan Breit is a scholar working on Information Systems, Infectious Diseases, Public Health, Environmental and Occupational Health, Sociology and Political Science and Ecology, having authored 16 papers that have together received 929 indexed citations. Recurring topics across this work include ICT in Developing Communities (4 papers), SARS-CoV-2 detection and testing (3 papers), Zoonotic diseases and public health (2 papers), COVID-19 epidemiological studies (2 papers), Bacteriophages and microbial interactions (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Interactive and Immersive Displays (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Modeling and Simulation (118 citations), Infectious Diseases (355 citations), Public Health, Environmental and Occupational Health (461 citations), Agronomy and Crop Science (179 citations) and Parasitology (32 citations). Nathan Breit has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Toph Allen, Kevin J. Olival, Carlos Zambrana‐Torrelio, Kris A. Murray, Carlo Rondinini, Stephen S. Morse, Moreno Di Marco, Peter Daszak, Nicola Dell and Gaetano Borriello. Their work appears in journals such as International Journal of Infectious Diseases, PLoS Currents, Nature Communications, Journal of Pathology Informatics and The Lancet Regional Health - Americas.
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.