Kevin McCloskey
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 2
- Materials Chemistry top 10%
- Machine Learning in Materials Science 4
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- Chemical Synthesis and Analysis 1
- Protein Structure and Dynamics 1
- Artificial Intelligence top 10%
- Biophysics top 10%
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- Advanced Aircraft Design and Technologies 2
- Atmospheric aerosols and clouds 1
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- Amyotrophic Lateral Sclerosis Research 1
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- Air Quality and Health Impacts 1
- Co-authors
- Patrick RileySteven KearnesVijay S. PandeMarc BerndlLucy J. ColwellMichael P. BrennerAnkur TalyFederico Monti
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Remote Sensing of Environment (1 paper)IEEE Transactions on Geoscience and Remote Sensing (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kevin McCloskey
12 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Computational Theory and Mathematics 758
- Materials Chemistry 658
- Molecular Biology 558
- Artificial Intelligence 189
- Biophysics 31
Countries citing papers authored by Kevin McCloskey
This map shows the geographic impact of Kevin McCloskey'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 McCloskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin McCloskey more than expected).
Fields of papers citing papers by Kevin McCloskey
This network shows the impact of papers produced by Kevin McCloskey. 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 McCloskey. The network helps show where Kevin McCloskey may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin McCloskey, 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 | 2024 | 3 | |
| 3 | 2023 | 13 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 2 | |
| 7 | A human-labeled Landsat-8 contrails dataset | 2021 | 1 |
| 8 | Evaluating Attribution for Graph Neural Networks | 2020 | 31 |
| 9 | 2020 | 85 | |
| 10 | Crystal Structure Search with Random Structure Relaxations Using Graph Networks | 2020 | 1 |
| 11 | 2019 | 60 | |
| 12 | Molecular graph convolutions: moving beyond fingerprintsbreakdown → | 2016 | 995 |
| 13 | The Real Poop on Pigeons | 2016 | 1 |
About Kevin McCloskey
Kevin McCloskey is a scholar working on Global and Planetary Change, Speech and Hearing and Computational Theory and Mathematics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Advanced Aircraft Design and Technologies (2 papers), Computational Drug Discovery Methods (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper), Air Quality and Health Impacts (1 paper), Chemical Synthesis and Analysis (1 paper), Protein Structure and Dynamics (1 paper) and Atmospheric aerosols and clouds (1 paper). The work is most often cited by research in Computational Theory and Mathematics (758 citations), Materials Chemistry (658 citations) and Molecular Biology (558 citations). Kevin McCloskey has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Patrick Riley, Steven Kearnes, Vijay S. Pande, Marc Berndl, Lucy J. Colwell, Michael P. Brenner, Ankur Taly, Federico Monti, Betty Chan and Matthew Clark. Their work appears in journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
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.