Bryan Wilder
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Evolutionary Game Theory and Cooperation 5
- Co-authors
- Milind Tambe (33 shared papers)Michael J. Mina (2 shared papers)Soraya I. Shehata (1 shared paper)Roy Parker (1 shared paper)James A. Hay (1 shared paper)James M. Burke (1 shared paper)Evan Lester (1 shared paper)Daniel B. Larremore (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Aequationes Mathematicae (2 papers)IEEE Intelligent Systems (1 paper)IISE Transactions (1 paper)Adaptive Behavior (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Bryan Wilder
49 papers receiving 1.2k citations
Bryan Wilder's Hit Papers
Peers
Comparison fields: 5 of 133
- Modeling and Simulation 201
- Infectious Diseases 479
- Statistical and Nonlinear Physics 137
- Health Informatics 12
- Computer Science Applications 39
Countries citing papers authored by Bryan Wilder
This map shows the geographic impact of Bryan Wilder'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 Bryan Wilder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Wilder more than expected).
Fields of papers citing papers by Bryan Wilder
This network shows the impact of papers produced by Bryan Wilder. 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 Bryan Wilder. The network helps show where Bryan Wilder may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Wilder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening Hit paper breakdown → | 2021 | 586 |
| 2 | 2019 | 103 | |
| 3 | 2020 | 44 | |
| 4 | 2018 | 38 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2017 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2018 | 20 | |
| 13 | 2017 | 20 | |
| 14 | 2018 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2019 | 14 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2018 | 11 |
About Bryan Wilder
Bryan Wilder is a scholar working on Artificial Intelligence, Sociology and Political Science, Modeling and Simulation, General Health Professions and Statistical and Nonlinear Physics, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (10 papers), Complex Network Analysis Techniques (8 papers), Homelessness and Social Issues (7 papers), Opinion Dynamics and Social Influence (7 papers), Evolutionary Game Theory and Cooperation (5 papers), Spam and Phishing Detection (4 papers), Data-Driven Disease Surveillance (4 papers) and Game Theory and Applications (3 papers). The work is most often cited by research in Modeling and Simulation (201 citations), Infectious Diseases (479 citations), Statistical and Nonlinear Physics (137 citations), Health Informatics (12 citations) and Computer Science Applications (39 citations). Bryan Wilder has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Milind Tambe, Michael J. Mina, Soraya I. Shehata, Roy Parker, James A. Hay, James M. Burke, Evan Lester, Daniel B. Larremore, Bistra Dilkina and Eric Rice. Their work appears in journals such as PLoS Computational Biology, Aequationes Mathematicae, IEEE Intelligent Systems, IISE Transactions and Adaptive Behavior.
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.