Jonathan Somer
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- International Law and Human Rights 5
- Global Peace and Security Dynamics 5
-
- COVID-19 diagnosis using AI 2
- Co-authors
- Uri Shalit (3 shared papers)Malka Gorfine (2 shared papers)Eran Segal (1 shared paper)Tomer Meir (1 shared paper)Hagai Rossman (1 shared paper)Smadar Shilo (1 shared paper)Uriel Katz (1 shared paper)E V Morse (1 shared paper)
- Journals
- Nature Communications (2 papers)International Review of the Red Cross (2 papers)Journal of Human Rights Practice (1 paper)Nature (1 paper)Journal of the American Medical Informatics Association (1 paper)
- Partner nations
- IsraelCanadaUnited States
In The Last Decade
Jonathan Somer
10 papers receiving 234 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 45
- Modeling and Simulation 56
- Infectious Diseases 74
- Family Practice 8
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Jonathan Somer
This map shows the geographic impact of Jonathan Somer'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 Jonathan Somer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Somer more than expected).
Fields of papers citing papers by Jonathan Somer
This network shows the impact of papers produced by Jonathan Somer. 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 Jonathan Somer. The network helps show where Jonathan Somer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Somer, 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 | 2020 | 77 | |
| 2 | 2021 | 59 | |
| 3 | 2024 | 50 | |
| 4 | 2021 | 24 | |
| 5 | 2007 | 22 | |
| 6 | 2011 | 13 | |
| 7 | 2012 | 5 | |
| 8 | 2022 | 2 | |
| 9 | Inviting Non-state Armed Groups to the Table. Inclusive Strategies towards a More Fit for Purpose International Humanitarian Law | 2021 | 1 |
| 10 | Counter-terrorism and the protection of civilians: Armed non-state actors | 2015 | 1 |
| 11 | 2026 | 0 |
About Jonathan Somer
Jonathan Somer is a scholar working on Political Science and International Relations, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Sociology and Political Science and Oncology, having authored 11 papers that have together received 254 indexed citations. Recurring topics across this work include International Law and Human Rights (5 papers), Global Peace and Security Dynamics (5 papers), COVID-19 diagnosis using AI (2 papers), COVID-19 and healthcare impacts (2 papers), COVID-19 Clinical Research Studies (2 papers), Machine Learning in Healthcare (2 papers), Single-cell and spatial transcriptomics (1 paper) and Peacebuilding and International Security (1 paper). The work is most often cited by research in Health Informatics (45 citations), Modeling and Simulation (56 citations), Infectious Diseases (74 citations), Family Practice (8 citations) and Radiology, Nuclear Medicine and Imaging (64 citations). Jonathan Somer has collaborated with scholars based in Israel, Canada and United States. Frequent co-authors include Uri Shalit, Malka Gorfine, Eran Segal, Tomer Meir, Hagai Rossman, Smadar Shilo, Uriel Katz, E V Morse, Ido Wolf and Doron Netzer. Their work appears in journals such as Nature Communications, International Review of the Red Cross, Journal of Human Rights Practice, Nature and Journal of the American Medical Informatics Association.
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.