Evan L Ray
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Epidemiology top 10%
- Data-Driven Disease Surveillance
- Influenza Virus Research Studies
Papers in
-
- COVID-19 epidemiological studies 10
-
- Data-Driven Disease Surveillance 8
- Influenza Virus Research Studies 6
- Co-authors
- Nicholas G Reich (12 shared papers)Johannes Bracher (2 shared papers)Tilmann Gneiting (1 shared paper)Michael A. Johansson (4 shared papers)Matthew Biggerstaff (3 shared papers)Logan Brooks (3 shared papers)Jeffrey Shaman (2 shared papers)Teresa K. Yamana (2 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Statistics in Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)Epidemics (2 papers)International Journal of Forecasting (1 paper)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Evan L Ray
16 papers receiving 652 citations
Evan L Ray's Hit Papers
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 345
- Epidemiology 268
- Infectious Diseases 74
- Management Science and Operations Research 52
- Public Health, Environmental and Occupational Health 90
Countries citing papers authored by Evan L Ray
This map shows the geographic impact of Evan L Ray'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 Evan L Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan L Ray more than expected).
Fields of papers citing papers by Evan L Ray
This network shows the impact of papers produced by Evan L Ray. 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 Evan L Ray. The network helps show where Evan L Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan L Ray, 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 | 154 | |
| 2 | Evaluating epidemic forecasts in an interval format Hit paper breakdown → | 2021 | 137 |
| 3 | 2019 | 102 | |
| 4 | 2018 | 85 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 41 | |
| 7 | 2014 | 36 | |
| 8 | 2022 | 27 | |
| 9 | 2018 | 6 | |
| 10 | 2018 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2005 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 0 |
About Evan L Ray
Evan L Ray is a scholar working on Modeling and Simulation, Epidemiology, Artificial Intelligence, Management Science and Operations Research and Genetics, having authored 17 papers that have together received 664 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Data-Driven Disease Surveillance (8 papers), Influenza Virus Research Studies (6 papers), Agricultural risk and resilience (2 papers), Climate variability and models (2 papers), Forecasting Techniques and Applications (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (345 citations), Epidemiology (268 citations), Infectious Diseases (74 citations), Management Science and Operations Research (52 citations) and Public Health, Environmental and Occupational Health (90 citations). Evan L Ray has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Nicholas G Reich, Johannes Bracher, Tilmann Gneiting, Michael A. Johansson, Matthew Biggerstaff, Logan Brooks, Jeffrey Shaman, Teresa K. Yamana, Sasikiran Kandula and Abhinav Tushar. Their work appears in journals such as PLoS Computational Biology, Statistics in Medicine, Proceedings of the National Academy of Sciences, Epidemics and International Journal of Forecasting.
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.