Benjamin Hurt
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
-
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Outbreaks Research
- COVID-19 Clinical Research Studies
Papers in
-
- COVID-19 epidemiological studies 11
- Health 3
- Vaccine Coverage and Hesitancy 3
- Co-authors
- Lijing Wang (3 shared papers)MADHAV V. MARATHE (5 shared papers)Bryan Leroy Lewis (5 shared papers)Srinivasan Venkatramanan (5 shared papers)Aniruddha Adiga (5 shared papers)Przemyslaw Jerzy Porebski (5 shared papers)Akhil Sai Peddireddy (1 shared paper)Rajesh Sundaresan (1 shared paper)
- Journals
- Nature Communications (2 papers)eLife (2 papers)MMWR Morbidity and Mortality Weekly Report (1 paper)Epidemics (1 paper)The Lancet Regional Health - Americas (1 paper)
- Partner nations
- United StatesPolandIndia
In The Last Decade
Benjamin Hurt
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 58
- Modeling and Simulation 220
- Infectious Diseases 94
- Health 32
- Epidemiology 119
- Management Science and Operations Research 19
Countries citing papers authored by Benjamin Hurt
This map shows the geographic impact of Benjamin Hurt'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 Benjamin Hurt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Hurt more than expected).
Fields of papers citing papers by Benjamin Hurt
This network shows the impact of papers produced by Benjamin Hurt. 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 Benjamin Hurt. The network helps show where Benjamin Hurt may publish in the future.
Co-authors
The 14 scholars most cited alongside Benjamin Hurt, 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 | 2021 | 111 | |
| 2 | 2023 | 53 | |
| 3 | 2023 | 39 | |
| 4 | 2024 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2024 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 0 |
About Benjamin Hurt
Benjamin Hurt is a scholar working on Modeling and Simulation, Health, Epidemiology, Infectious Diseases and Obstetrics and Gynecology, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Data-Driven Disease Surveillance (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Vaccine Coverage and Hesitancy (3 papers), Anomaly Detection Techniques and Applications (2 papers), COVID-19 Pandemic Impacts (2 papers), COVID-19 Clinical Research Studies (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (220 citations), Infectious Diseases (94 citations), Health (32 citations), Epidemiology (119 citations) and Management Science and Operations Research (19 citations). Benjamin Hurt has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Lijing Wang, MADHAV V. MARATHE, Bryan Leroy Lewis, Srinivasan Venkatramanan, Aniruddha Adiga, Przemyslaw Jerzy Porebski, Akhil Sai Peddireddy, Rajesh Sundaresan, Ambedkar Dukkipati and Jiangzhuo Chen. Their work appears in journals such as Nature Communications, eLife, MMWR Morbidity and Mortality Weekly Report, Epidemics 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.