Nicholas G Reich
- Modeling and Simulation top 0.02%
- COVID-19 epidemiological studies 40
- Infectious Diseases top 0.2%
- Infection Control in Healthcare 5
- General Dentistry top 1%
- Emergency Medical Services top 0.5%
- Epidemiology top 1%
- Influenza Virus Research Studies 22
- Data-Driven Disease Surveillance 19
- Respiratory viral infections research 5
-
- Infection Control and Ventilation 8
-
- Mosquito-borne diseases and control 8
-
- Forecasting Techniques and Applications 7
- Co-authors
- Justin LesslerStephen A. LauerQifang BiForrest K. JonesAndrew S. AzmanHannah R. MeredithQulu ZhengKyra H. Grantz
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (3 papers)The Lancet (1 paper)
- Partner nations
- United StatesUnited KingdomThailand
In The Last Decade
Nicholas G Reich
83 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Modeling and Simulation 3.2k
- Infectious Diseases 3.4k
- General Dentistry 140
- Emergency Medical Services 505
- Epidemiology 1.8k
Countries citing papers authored by Nicholas G Reich
This map shows the geographic impact of Nicholas G Reich'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 Nicholas G Reich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas G Reich more than expected).
Fields of papers citing papers by Nicholas G Reich
This network shows the impact of papers produced by Nicholas G Reich. 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 Nicholas G Reich. The network helps show where Nicholas G Reich may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nicholas G Reich, 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 | 2024 | 2 | |
| 2 | 2022 | 22 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 5 | |
| 5 | Evaluating epidemic forecasts in an interval formatbreakdown → | 2021 | 126 |
| 6 | 2020 | 1 | |
| 7 | 2019 | 95 | |
| 8 | 2019 | 35 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 83 | |
| 11 | 2017 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 27 | |
| 15 | 2015 | 90 | |
| 16 | 2013 | 20 | |
| 17 | 2013 | 146 | |
| 18 | 2013 | 27 | |
| 19 | 2012 | 90 | |
| 20 | 2011 | 12 |
About Nicholas G Reich
Nicholas G Reich is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology, having authored 85 papers that have together received 8.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (40 papers), Influenza Virus Research Studies (22 papers), Data-Driven Disease Surveillance (19 papers), Infection Control and Ventilation (8 papers), Mosquito-borne diseases and control (8 papers), Forecasting Techniques and Applications (7 papers), Infection Control in Healthcare (5 papers) and Respiratory viral infections research (5 papers). The work is most often cited by research in Modeling and Simulation (3.2k citations), Infectious Diseases (3.4k citations) and General Dentistry (140 citations). Nicholas G Reich has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Justin Lessler, Stephen A. Lauer, Qifang Bi, Forrest K. Jones, Andrew S. Azman, Hannah R. Meredith, Qulu Zheng, Kyra H. Grantz, Derek A. T. Cummings and Trish M. Perl. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.