Mark Pernarowski
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Nonlinear Dynamics and Pattern Formation 7
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- stochastic dynamics and bifurcation 7
- Co-authors
- Jack D. Dockery (1 shared paper)V. Hutson (1 shared paper)Konstantin Mischaikow (1 shared paper)Richard Bertram (1 shared paper)J. Kevorkian (1 shared paper)R. M. Miura (1 shared paper)Ryuji Miura (1 shared paper)Robert M. Miura (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (5 papers)SIAM Journal on Applied Mathematics (4 papers)Journal of Mathematical Biology (1 paper)Physica D Nonlinear Phenomena (1 paper)Biophysical Journal (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mark Pernarowski
13 papers receiving 474 citations
Peers
Comparison fields: 5 of 55
- Modeling and Simulation 122
- Public Health, Environmental and Occupational Health 304
- Genetics 253
- Statistical and Nonlinear Physics 100
- Mathematical Physics 38
Countries citing papers authored by Mark Pernarowski
This map shows the geographic impact of Mark Pernarowski'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 Mark Pernarowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Pernarowski more than expected).
Fields of papers citing papers by Mark Pernarowski
This network shows the impact of papers produced by Mark Pernarowski. 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 Mark Pernarowski. The network helps show where Mark Pernarowski may publish in the future.
Co-authors
The 12 scholars most cited alongside Mark Pernarowski, 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 | 1998 | 325 | |
| 2 | 1998 | 41 | |
| 3 | 1994 | 39 | |
| 4 | 1992 | 32 | |
| 5 | 1998 | 22 | |
| 6 | 2005 | 19 | |
| 7 | 1995 | 15 | |
| 8 | 1995 | 14 | |
| 9 | 2003 | 7 | |
| 10 | 2006 | 6 | |
| 11 | 2016 | 3 | |
| 12 | 2000 | 3 | |
| 13 | 2001 | 3 |
About Mark Pernarowski
Mark Pernarowski is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Surgery, Molecular Biology and Cognitive Neuroscience, having authored 13 papers that have together received 529 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Pancreatic function and diabetes (5 papers), Neural dynamics and brain function (3 papers), Receptor Mechanisms and Signaling (2 papers), Diabetes Management and Research (2 papers), Molecular Communication and Nanonetworks (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Public Health, Environmental and Occupational Health (304 citations), Genetics (253 citations), Statistical and Nonlinear Physics (100 citations) and Mathematical Physics (38 citations). Mark Pernarowski has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jack D. Dockery, V. Hutson, Konstantin Mischaikow, Richard Bertram, J. Kevorkian, R. M. Miura, Ryuji Miura, Robert M. Miura, Scott Brown and J. Dockery. Their work appears in journals such as Bulletin of Mathematical Biology, SIAM Journal on Applied Mathematics, Journal of Mathematical Biology, Physica D Nonlinear Phenomena and Biophysical Journal.
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.