Dan Riesel
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Influenza Virus Research Studies 2
-
- COVID-19 Clinical Research Studies 1
- Co-authors
- Noam Barda (1 shared paper)Gal Yona (1 shared paper)Noa Dagan (2 shared papers)Jonathan Somer (1 shared paper)Eitan Bachmat (1 shared paper)Guy N. Rothblum (1 shared paper)Doron Netzer (1 shared paper)Uri Shalit (1 shared paper)
- Journals
- Digestive Diseases and Sciences (1 paper)Clinical Infectious Diseases (1 paper)Nature Communications (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Dan Riesel
3 papers receiving 104 citations
Peers
Comparison fields: 5 of 45
- Modeling and Simulation 19
- Health Informatics 4
- Infectious Diseases 27
- Radiology, Nuclear Medicine and Imaging 22
- Epidemiology 31
Countries citing papers authored by Dan Riesel
This map shows the geographic impact of Dan Riesel'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 Dan Riesel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Riesel more than expected).
Fields of papers citing papers by Dan Riesel
This network shows the impact of papers produced by Dan Riesel. 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 Dan Riesel. The network helps show where Dan Riesel may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Riesel, 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 | 79 | |
| 2 | 2019 | 19 | |
| 3 | 2019 | 11 | |
| 4 | 2024 | 0 |
About Dan Riesel
Dan Riesel is a scholar working on Epidemiology, Infectious Diseases, Oncology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 109 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (2 papers), COVID-19 Clinical Research Studies (1 paper), Colorectal Cancer Screening and Detection (1 paper), COVID-19 diagnosis using AI (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Modeling and Simulation (19 citations), Health Informatics (4 citations), Infectious Diseases (27 citations), Radiology, Nuclear Medicine and Imaging (22 citations) and Epidemiology (31 citations). Dan Riesel has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Noam Barda, Gal Yona, Noa Dagan, Jonathan Somer, Eitan Bachmat, Guy N. Rothblum, Doron Netzer, Uri Shalit, Joseph Levy and Ran D. Balicer. Their work appears in journals such as Digestive Diseases and Sciences, Clinical Infectious Diseases, Nature Communications and The Journal of Infectious Diseases.
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.