Ryan Pederson
Impact in
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- Computational Drug Discovery Methods
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- Catalysis and Oxidation Reactions
Papers in
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- Machine Learning in Materials Science 6
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- Advanced Chemical Physics Studies 5
- Spectroscopy and Quantum Chemical Studies 3
- Co-authors
- Kieron Burke (7 shared papers)Bhupalee Kalita (3 shared papers)Li Li (2 shared papers)Patrick Riley (1 shared paper)Stephan Hoyer (1 shared paper)Ruoxi Sun (1 shared paper)Ekin D. Cubuk (1 shared paper)Kyungwha Park (1 shared paper)
- Journals
- Physical Review Letters (2 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (1 paper)The Journal of Chemical Physics (1 paper)Nature Reviews Physics (1 paper)Journal of Chemical Theory and Computation (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Ryan Pederson
13 papers receiving 303 citations
Peers
Comparison fields: 5 of 58
- Computational Theory and Mathematics 69
- Catalysis 30
- Materials Chemistry 186
- Atomic and Molecular Physics, and Optics 110
- Structural Biology 4
Countries citing papers authored by Ryan Pederson
This map shows the geographic impact of Ryan Pederson'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 Ryan Pederson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Pederson more than expected).
Fields of papers citing papers by Ryan Pederson
This network shows the impact of papers produced by Ryan Pederson. 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 Ryan Pederson. The network helps show where Ryan Pederson may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Pederson, 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 | 2021 | 120 | |
| 2 | 2022 | 83 | |
| 3 | 2019 | 24 | |
| 4 | 2022 | 20 | |
| 5 | 2020 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 5 | |
| 11 | CONTRACT PRODUCTION AND MARKET COORDINATION FOR SPECIALTY CROPS: THE CASE OF INDIANA | 2003 | 3 |
| 12 | 2023 | 1 | |
| 13 | 2019 | 1 |
About Ryan Pederson
Ryan Pederson is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Molecular Biology and Catalysis, having authored 13 papers that have together received 309 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Chemical Physics Studies (5 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Catalysis and Oxidation Reactions (3 papers), Computational Drug Discovery Methods (3 papers), Gene Regulatory Network Analysis (2 papers), Inorganic Fluorides and Related Compounds (2 papers) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (69 citations), Catalysis (30 citations), Materials Chemistry (186 citations), Atomic and Molecular Physics, and Optics (110 citations) and Structural Biology (4 citations). Ryan Pederson has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Kieron Burke, Bhupalee Kalita, Li Li, Patrick Riley, Stephan Hoyer, Ruoxi Sun, Ekin D. Cubuk, Kyungwha Park, Nicholas J. Mayhall and Aleksander L. Wysocki. Their work appears in journals such as Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, The Journal of Chemical Physics, Nature Reviews Physics and Journal of Chemical Theory and Computation.
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.