Philip E. Paré

1.0k total citations
64 papers, 602 citations indexed

About

Philip E. Paré is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Philip E. Paré has authored 64 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 31 papers in Modeling and Simulation and 25 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Philip E. Paré's work include COVID-19 epidemiological studies (31 papers), Complex Network Analysis Techniques (28 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (25 papers). Philip E. Paré is often cited by papers focused on COVID-19 epidemiological studies (31 papers), Complex Network Analysis Techniques (28 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (25 papers). Philip E. Paré collaborates with scholars based in United States, Sweden and United Kingdom. Philip E. Paré's 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 and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Environmental Microbiology.

In The Last Decade

Philip E. Paré

57 papers receiving 584 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip E. Paré United States 13 320 274 220 59 54 64 602
Faryad Darabi Sahneh United States 15 489 1.5× 206 0.8× 190 0.9× 45 0.8× 114 2.1× 19 851
Lorenzo Zino Italy 15 302 0.9× 238 0.9× 95 0.4× 36 0.6× 106 2.0× 69 648
Damián Knopoff Argentina 15 264 0.8× 386 1.4× 227 1.0× 90 1.5× 30 0.6× 42 900
Zhishuang Wang China 8 567 1.8× 343 1.3× 102 0.5× 28 0.5× 87 1.6× 10 774
Ariel Cintrón-Arias United States 6 189 0.6× 129 0.5× 112 0.5× 37 0.6× 16 0.3× 11 511
Argha Mondal India 12 404 1.3× 455 1.7× 170 0.8× 44 0.7× 233 4.3× 34 943
Ceyhun Eksin United States 12 123 0.4× 203 0.7× 172 0.8× 165 2.8× 67 1.2× 51 706
Jasmina Omić Netherlands 5 602 1.9× 192 0.7× 200 0.9× 22 0.4× 206 3.8× 9 803

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-authorship network of co-authors of Philip E. Paré

This figure shows the co-authorship network connecting the top 25 collaborators of Philip E. Paré. A scholar is included among the top collaborators of Philip E. Paré 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 Philip E. Paré. Philip E. Paré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Başar, Tamer, et al.. (2025). Analysis, state estimation, and control for the networked competitive multi-virus SIR model. Automatica. 180. 112479–112479. 1 indexed citations
2.
Paré, Philip E., et al.. (2024). Multi-competitive time-varying networked SIS model with an infrastructure network. 27. 100254–100254. 1 indexed citations
3.
Smith, Rebecca L., et al.. (2024). A framework for counterfactual analysis, strategy evaluation, and control of epidemics using reproduction number estimates. PLoS Computational Biology. 20(11). e1012569–e1012569.
4.
Paré, Philip E., et al.. (2024). Empowering the Next Generation of CSS Leaders: From NextCom to ExCom [Member Activities]. IEEE Control Systems. 44(3). 15–17.
5.
6.
Paré, Philip E., et al.. (2024). Resilience to Non-Compliance in Coupled Cooperating Systems. IEEE Control Systems Letters. 8. 2715–2720.
7.
Stern, Raphael, et al.. (2024). Analysis and Applications of Population Flows in a Networked SEIRS Epidemic Process. IEEE Transactions on Network Science and Engineering. 11(6). 6664–6677. 2 indexed citations
8.
Paré, Philip E., et al.. (2024). Modeling and analysis of a coupled SIS bi-virus model. Automatica. 171. 111937–111937. 4 indexed citations
9.
10.
Rice, Christopher A., et al.. (2024). Modelling dynamics between free‐living amoebae and bacteria. Environmental Microbiology. 26(5). e16623–e16623. 5 indexed citations
11.
Leung, Chi‐Ho, et al.. (2024). Collaborative Safe Formation Control for Coupled Multi-Agent Systems. 3410–3415. 2 indexed citations
12.
Wang, Yuan, et al.. (2023). Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network. IFAC-PapersOnLine. 56(2). 19–24. 2 indexed citations
13.
Giordano, Giulia, Declan Bates, Pasquale Palumbo, et al.. (2023). Editorial for the special issue “Control‐theoretic approaches for systems in the life sciences”. International Journal of Robust and Nonlinear Control. 33(9). 4703–4707.
14.
Paré, Philip E., et al.. (2023). Leveraging Opinions and Vaccination to Eradicate Networked Epidemics. 1–6. 3 indexed citations
15.
Sundaram, Shreyas, et al.. (2022). Optimal Mitigation of SIR Epidemics Under Model Uncertainty. 2022 IEEE 61st Conference on Decision and Control (CDC). 4333–4338. 2 indexed citations
16.
Yi, Yuhao, et al.. (2022). Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models. SIAM Journal on Control and Optimization. 60(2). S246–S273. 3 indexed citations
17.
Shang, Mingfeng, et al.. (2021). Capturing the Effects of Transportation on the Spread of COVID-19 With a Multi-Networked SEIR Model. IEEE Control Systems Letters. 6. 103–108. 20 indexed citations
18.
Liu, Ji, Philip E. Paré, Angelia Nedić, et al.. (2019). Analysis and Control of a Continuous-Time Bi-Virus Model. IEEE Transactions on Automatic Control. 64(12). 4891–4906. 79 indexed citations
19.
Beck, Carolyn L., et al.. (2018). Knowledge Transfer from Universities to Regions as a Network Spreading Process. 1–8. 10 indexed citations
20.
Paré, Philip E., et al.. (2013). On the necessity of full-state measurement for state-space network reconstruction. 803–806. 8 indexed citations

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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