Guy Katriel
Impact in
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
- Mathematical Physics top 5%
- Spectral Theory in Mathematical Physics
Papers in
-
- COVID-19 epidemiological studies 18
-
- Spectral Theory in Mathematical Physics 6
- Co-authors
- Amit Huppert (10 shared papers)Rami Yaari (9 shared papers)Lewi Stone (11 shared papers)Michael Demuth (4 shared papers)Nir Gavish (4 shared papers)Arnona Ziv (1 shared paper)Rivka Sheffer (1 shared paper)Yair Goldberg (1 shared paper)
- Journals
- Journal of The Royal Society Interface (3 papers)PLoS Computational Biology (3 papers)PLoS ONE (3 papers)Journal of Mathematical Biology (2 papers)Journal of Differential Equations (2 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Guy Katriel
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 389
- Mathematical Physics 145
- Applied Mathematics 163
- Infectious Diseases 161
- Statistical and Nonlinear Physics 116
Countries citing papers authored by Guy Katriel
This map shows the geographic impact of Guy Katriel'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 Guy Katriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Katriel more than expected).
Fields of papers citing papers by Guy Katriel
This network shows the impact of papers produced by Guy Katriel. 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 Guy Katriel. The network helps show where Guy Katriel may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Katriel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 196 | |
| 2 | 2021 | 116 | |
| 3 | 1994 | 103 | |
| 4 | 2008 | 48 | |
| 5 | 2009 | 47 | |
| 6 | 2013 | 45 | |
| 7 | 2011 | 38 | |
| 8 | 2022 | 36 | |
| 9 | 2013 | 30 | |
| 10 | 2011 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2012 | 24 | |
| 13 | 2016 | 24 | |
| 14 | 2010 | 21 | |
| 15 | 2011 | 20 | |
| 16 | 2005 | 19 | |
| 17 | 2010 | 16 | |
| 18 | 2009 | 16 | |
| 19 | 2012 | 13 | |
| 20 | 2011 | 12 |
About Guy Katriel
Guy Katriel is a scholar working on Modeling and Simulation, Mathematical Physics, Statistical and Nonlinear Physics, Applied Mathematics and Public Health, Environmental and Occupational Health, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (18 papers), Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Influenza Virus Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Spectral Theory in Mathematical Physics (6 papers), Evolution and Genetic Dynamics (5 papers), Complex Systems and Time Series Analysis (3 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). The work is most often cited by research in Modeling and Simulation (389 citations), Mathematical Physics (145 citations), Applied Mathematics (163 citations), Infectious Diseases (161 citations) and Statistical and Nonlinear Physics (116 citations). Guy Katriel has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Amit Huppert, Rami Yaari, Lewi Stone, Michael Demuth, Nir Gavish, Arnona Ziv, Rivka Sheffer, Yair Goldberg, Uri Roll and Itai Dattner. Their work appears in journals such as Journal of The Royal Society Interface, PLoS Computational Biology, PLoS ONE, Journal of Mathematical Biology and Journal of Differential Equations.
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.