Philip E. Paré

57 papers receiving 584 citations

Peers

Philip E. Paré
Comparison fields: 5 of 68
  • Modeling and Simulation 274
  • Statistical and Nonlinear Physics 320
  • Public Health, Environmental and Occupational Health 220
  • Management Science and Operations Research 31
  • Experimental and Cognitive Psychology 32
Replace Faryad Darabi Sahneh with:
Faryad Darabi Sahneh United States
Lorenzo Zino Italy
Damián Knopoff Argentina
Zhishuang Wang China
Ceyhun Eksin United States
Ariel Cintrón-Arias United States
Liang’an Huo China
Argha Mondal India
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Citations per field
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Citations per year

Countries citing papers authored by Philip E. Paré

Since Specialization
Citations

This map shows the geographic impact of Philip E. Paré'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 Philip E. Paré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip E. Paré more than expected).

Fields of papers citing papers by Philip E. Paré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip E. Paré. 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 Philip E. Paré. The network helps show where Philip E. Paré may publish in the future.

Co-authors

The 25 scholars most cited alongside Philip E. Paré, 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 Philip E. Paré Line = papers co-authored together Philip E. Paré links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202094
2 201979
3 201850
4 202240
5 202036
6 202023
7 202120
8 201920
9 201618
10 201515
11 201715
12 202312
13 201912
14 202112
15 201711
16 201810
17 20179
18 20138
19 20208
20 20217

About Philip E. Paré

Philip E. Paré is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Public Health, Environmental and Occupational Health, Infectious Diseases and Epidemiology, having authored 64 papers that have together received 602 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (31 papers), Complex Network Analysis Techniques (28 papers), Mathematical and Theoretical Epidemiology and Ecology Models (25 papers), Opinion Dynamics and Social Influence (18 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Evolution and Genetic Dynamics (4 papers) and Innovation Diffusion and Forecasting (3 papers). The work is most often cited by research in Modeling and Simulation (274 citations), Statistical and Nonlinear Physics (320 citations), Public Health, Environmental and Occupational Health (220 citations), Management Science and Operations Research (31 citations) and Experimental and Cognitive Psychology (32 citations). Philip E. Paré has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Carolyn L. Beck, Tamer Başar, Ji Liu, Angelia Nedić, Choon Yik Tang, Shreyas Sundaram, Henrik Sandberg, Barrett E. Kirwan, Liu Ji and Karl Henrik Johansson. Their work appears in journals such as IEEE Control Systems Letters, Automatica, IEEE Transactions on Control of Network Systems, International Journal of Robust and Nonlinear Control and SIAM Journal on Control and Optimization.

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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