Mark Pernarowski

701 citations
14 papers · 565 · h-index 10

Impact in

Papers in

Mark Pernarowski

14 papers receiving 507 citations

Peers

Mark Pernarowski
Comparison fields: 5 of 57
  • Modeling and Simulation 123
  • Public Health, Environmental and Occupational Health 311
  • Genetics 260
  • Statistical and Nonlinear Physics 121
  • Computer Networks and Communications 104
Replace Pablo Aguirre with:
Pablo Aguirre Chile
James F. Selgrade United States
Gaihui Guo China
Stephen Baigent United Kingdom
Hunki Baek South Korea
H. Merdan Türkiye
Sanling Yuan China
Je-Chiang Tsai Taiwan
Matt Holzer United States
Laila M Assas Saudi Arabia
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Citations per field
00.5×1.6×
Pablo Aguirre · 1×
Citations per year

Countries citing papers authored by Mark Pernarowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Pernarowski Line = papers co-authored together Mark Pernarowski links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998333
2 199845
3 199443
4 199234
5 199823
6 200519
7 199515
8 199514
9 199112
10 20069
11 20037
12 20014
13 20004
14 20163

About Mark Pernarowski

Mark Pernarowski is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Surgery, Molecular Biology and Cognitive Neuroscience, having authored 14 papers that have together received 565 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (8 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Pancreatic function and diabetes (5 papers), Neural dynamics and brain function (3 papers), Diabetes Management and Research (2 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Mathematical Biology Tumor Growth (2 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Public Health, Environmental and Occupational Health (311 citations), Genetics (260 citations), Statistical and Nonlinear Physics (121 citations) and Computer Networks and Communications (104 citations). Mark Pernarowski has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Konstantin Mischaikow, V. Hutson, Jack D. Dockery, Richard Bertram, J. Kevorkian, R. M. Miura, Robert M. Miura, Ryuji Miura, J. Dockery and Scott Brown. Their work appears in journals such as Bulletin of Mathematical Biology, SIAM Journal on Applied Mathematics, Biophysical Journal, Journal of Mathematical Biology and Mathematical Biosciences.

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.

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