Benjamin Amor
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Impact on Reproduction 3
-
- Long-Term Effects of COVID-19 4
- Co-authors
- Umberto Tachinardi (1 shared paper)Kenneth R. Gersing (1 shared paper)Jayme L. Dahlin (1 shared paper)Abel Kho (1 shared paper)Peter J. Embí (1 shared paper)Fred Prior (1 shared paper)Shaun J. Grannis (1 shared paper)Usman Ullah Sheikh (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (4 papers)JAMA Network Open (3 papers)AIDS and Behavior (1 paper)American Journal of Obstetrics and Gynecology (1 paper)Learning Health Systems (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Benjamin Amor
18 papers receiving 741 citations
Benjamin Amor's Hit Papers
Peers
Comparison fields: 5 of 82
- Health Informatics 24
- Infectious Diseases 177
- Health Information Management 39
- Obstetrics and Gynecology 50
- Neurology 95
Countries citing papers authored by Benjamin Amor
This map shows the geographic impact of Benjamin Amor'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 Amor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Amor more than expected).
Fields of papers citing papers by Benjamin Amor
This network shows the impact of papers produced by Benjamin Amor. 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 Amor. The network helps show where Benjamin Amor may publish in the future.
Co-authors
The 9 scholars most cited alongside Benjamin Amor, 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 | The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment Hit paper breakdown → | 2020 | 398 |
| 2 | Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative Hit paper breakdown → | 2021 | 187 |
| 3 | 2021 | 49 | |
| 4 | 2022 | 42 | |
| 5 | 2022 | 21 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2026 | 0 | |
| 20 | 2023 | 0 |
About Benjamin Amor
Benjamin Amor is a scholar working on Obstetrics and Gynecology, Neurology, Oncology, Infectious Diseases and Modeling and Simulation, having authored 20 papers that have together received 772 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (5 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 Impact on Reproduction (3 papers), COVID-19 Clinical Research Studies (2 papers), COVID-19 epidemiological studies (1 paper), Healthcare cost, quality, practices (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Body Contouring and Surgery (1 paper). The work is most often cited by research in Health Informatics (24 citations), Infectious Diseases (177 citations), Health Information Management (39 citations), Obstetrics and Gynecology (50 citations) and Neurology (95 citations). Benjamin Amor has collaborated with scholars based in United States and Australia. Frequent co-authors include Umberto Tachinardi, Kenneth R. Gersing, Jayme L. Dahlin, Abel Kho, Peter J. Embí, Fred Prior, Shaun J. Grannis, Usman Ullah Sheikh and Joel Haskin Saltz. Their work appears in journals such as Journal of the American Medical Informatics Association, JAMA Network Open, AIDS and Behavior, American Journal of Obstetrics and Gynecology and Learning Health Systems.
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.