Kevin McCarthy
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
- Health top 10%
- Vaccine Coverage and Hesitancy 8
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- Viral gastroenteritis research and epidemiology 6
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- Real-time simulation and control systems 9
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- Virology and Viral Diseases 8
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- Heat Transfer and Optimization 5
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- Viral Infections and Immunology Research 5
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- Advanced Aircraft Design and Technologies 5
- Co-authors
- Guillaume Chabot‐CoutureNarayan SastryMichael PollardMichael FamulareEric WaltersMitch WolffSoumya S. PatnaikPhilip A. Eckhoff
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (1 paper)Physical review. B, Condensed matter (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kevin McCarthy
50 papers receiving 512 citations
Peers
Comparison fields: 5 of 99
- Modeling and Simulation 68
- Health 68
- Fluid Flow and Transfer Processes 36
- Infectious Diseases 85
- Aerospace Engineering 85
Countries citing papers authored by Kevin McCarthy
This map shows the geographic impact of Kevin McCarthy'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 Kevin McCarthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin McCarthy more than expected).
Fields of papers citing papers by Kevin McCarthy
This network shows the impact of papers produced by Kevin McCarthy. 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 Kevin McCarthy. The network helps show where Kevin McCarthy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin McCarthy, 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 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 6 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 26 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 18 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 8 | |
| 16 | Dark Matter Search Results from the Silicon Detectors of the Cryogenic Dark Matter Search Experiment | 2013 | 6 |
| 17 | 2010 | 12 | |
| 18 | 2008 | 1 | |
| 19 | 2006 | 55 | |
| 20 | 1965 | 8 |
About Kevin McCarthy
Kevin McCarthy is a scholar working on Modeling and Simulation, Health and Control and Systems Engineering, having authored 52 papers that have together received 549 indexed citations. Recurring topics across this work include Real-time simulation and control systems (9 papers), Virology and Viral Diseases (8 papers), Vaccine Coverage and Hesitancy (8 papers), COVID-19 epidemiological studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Heat Transfer and Optimization (5 papers), Viral Infections and Immunology Research (5 papers) and Advanced Aircraft Design and Technologies (5 papers). The work is most often cited by research in Modeling and Simulation (68 citations), Health (68 citations) and Fluid Flow and Transfer Processes (36 citations). Kevin McCarthy has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Guillaume Chabot‐Couture, Narayan Sastry, Michael Pollard, Michael Famulare, Eric Walters, Mitch Wolff, Soumya S. Patnaik, Philip A. Eckhoff, Hil Lyons and Laina D. Mercer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical review. B, Condensed matter.
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.