Ben Y. Reis
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Health top 0.5%
- Modeling and Simulation top 0.2%
- Molecular Biology
- Co-authors
- Kenneth D. MandlNoa DaganRan D. BalicerNoam BardaMarc LipsitchMiguel A. HernánEldad KeptenJohn S. Brownstein
- Topics
- Data-Driven Disease Surveillance (19 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Suicide and Self-Harm Studies (8 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Ben Y. Reis
70 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 2.5k
- Epidemiology 1.3k
- Health 1.3k
- Modeling and Simulation 800
- Molecular Biology 642
Countries citing papers authored by Ben Y. Reis
This map shows the geographic impact of Ben Y. Reis'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 Ben Y. Reis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Y. Reis more than expected).
Fields of papers citing papers by Ben Y. Reis
This network shows the impact of papers produced by Ben Y. Reis. 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 Ben Y. Reis. The network helps show where Ben Y. Reis may publish in the future.
Co-authorship network of co-authors of Ben Y. Reis
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Y. Reis. A scholar is included among the top collaborators of Ben Y. Reis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Y. Reis. Ben Y. Reis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 34 | |
| 4 | 53 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 17 | |
| 8 | BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Settingbreakdown → | 1619 |
| 9 | 22 | |
| 10 | Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational studybreakdown → | 558 |
| 11 | 4 | |
| 12 | 34 | |
| 13 | 29 | |
| 14 | Improved de-identification of physician notes through integrative modeling of both public and private medical text | 1 |
| 15 | 66 | |
| 16 | 43 | |
| 17 | 43 | |
| 18 | Defining Expected Daily Emergency Department Utilization Rates for Detection of Bioterrorist Attacks | 1 |
| 19 | 13 | |
| 20 | 21 |
About Ben Y. Reis
Ben Y. Reis is a scholar working on Modeling and Simulation, Toxicology and Health, having authored 71 papers that have together received 5.9k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (19 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Suicide and Self-Harm Studies (8 papers). The work is most often cited by research in Modeling and Simulation (800 citations), Health (1.3k citations) and Infectious Diseases (2.5k citations). Ben Y. Reis has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Kenneth D. Mandl, Noa Dagan, Ran D. Balicer, Noam Barda, Marc Lipsitch, Miguel A. Hernán, Eldad Kepten, John S. Brownstein, Isaac S. Kohane and Oren Miron. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.