Benjamin Hurt
Impact in
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- COVID-19 epidemiological studies
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- Human Mobility and Location-Based Analysis
Papers in
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- COVID-19 epidemiological studies 6
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- Data-Driven Disease Surveillance 4
- Co-authors
- Madhav Marathe (6 shared papers)Lijing Wang (3 shared papers)Srinivasan Venkatramanan (5 shared papers)Bryan Lewis (5 shared papers)Przemyslaw Porebski (5 shared papers)Aniruddha Adiga (5 shared papers)Akhil Sai Peddireddy (1 shared paper)J.D. Zamfirescu-Pereira (1 shared paper)
- Journals
- Epidemics (1 paper)Scientific Data (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
Benjamin Hurt
5 papers receiving 22 citations
Peers
Comparison fields: 5 of 19
- Modeling and Simulation 15
- Transportation 2
- Infectious Diseases 5
- Epidemiology 9
- Statistical and Nonlinear Physics 3
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 18 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 | 14 | |
| 2 | 2022 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 0 |
About Benjamin Hurt
Benjamin Hurt is a scholar working on Modeling and Simulation, Epidemiology, Artificial Intelligence, Infectious Diseases and General Health Professions, having authored 6 papers that have together received 22 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Data-Driven Disease Surveillance (4 papers), Anomaly Detection Techniques and Applications (2 papers), Viral Infections and Outbreaks Research (1 paper), Food Security and Health in Diverse Populations (1 paper), COVID-19 Pandemic Impacts (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (15 citations), Transportation (2 citations), Infectious Diseases (5 citations), Epidemiology (9 citations) and Statistical and Nonlinear Physics (3 citations). Benjamin Hurt has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Madhav Marathe, Lijing Wang, Srinivasan Venkatramanan, Bryan Lewis, Przemyslaw Porebski, Aniruddha Adiga, Akhil Sai Peddireddy, J.D. Zamfirescu-Pereira, Rajesh Sundaresan and Ambedkar Dukkipati. Their work appears in journals such as Epidemics, Scientific Data, 2022 IEEE International Conference on Big Data (Big Data) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.