Brian M. Hendricks
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
-
- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 detection and testing 3
-
- COVID-19 epidemiological studies 5
- Co-authors
- Gordon Stephen Smith (13 shared papers)Toni Marie Rudisill (5 shared papers)Wesley Kimble (10 shared papers)Cici Bauer (1 shared paper)Shikhar Shrestha (1 shared paper)Thomas J. Stopka (1 shared paper)Sally Hodder (9 shared papers)Yue Ren (1 shared paper)
- Journals
- JAMA Network Open (3 papers)PLoS ONE (3 papers)Open Forum Infectious Diseases (3 papers)Social Science & Medicine (2 papers)Journal of Vascular Surgery (2 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Brian M. Hendricks
51 papers receiving 401 citations
Peers
Comparison fields: 5 of 82
- Modeling and Simulation 28
- Parasitology 37
- Health 33
- Infectious Diseases 58
- Neurology 37
Countries citing papers authored by Brian M. Hendricks
This map shows the geographic impact of Brian M. Hendricks'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 Brian M. Hendricks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian M. Hendricks more than expected).
Fields of papers citing papers by Brian M. Hendricks
This network shows the impact of papers produced by Brian M. Hendricks. 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 Brian M. Hendricks. The network helps show where Brian M. Hendricks may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian M. Hendricks, 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 | 2019 | 34 | |
| 2 | 2022 | 32 | |
| 3 | 2021 | 29 | |
| 4 | 2024 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2019 | 24 | |
| 7 | 2014 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2023 | 17 | |
| 10 | 2017 | 14 | |
| 11 | 2022 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2017 | 9 | |
| 14 | 2019 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2016 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2023 | 6 |
About Brian M. Hendricks
Brian M. Hendricks is a scholar working on Infectious Diseases, Modeling and Simulation, Parasitology, Public Health, Environmental and Occupational Health and Health, having authored 55 papers that have together received 415 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Opioid Use Disorder Treatment (6 papers), COVID-19 epidemiological studies (5 papers), Vector-borne infectious diseases (4 papers), Long-Term Effects of COVID-19 (3 papers), Machine Learning in Healthcare (3 papers), Peripheral Artery Disease Management (3 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Parasitology (37 citations), Health (33 citations), Infectious Diseases (58 citations) and Neurology (37 citations). Brian M. Hendricks has collaborated with scholars based in United States and Australia. Frequent co-authors include Gordon Stephen Smith, Toni Marie Rudisill, Wesley Kimble, Cici Bauer, Shikhar Shrestha, Thomas J. Stopka, Sally Hodder, Yue Ren, Samantha Danielle Minc and Ranjita Misra. Their work appears in journals such as JAMA Network Open, PLoS ONE, Open Forum Infectious Diseases, Social Science & Medicine and Journal of Vascular Surgery.
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.