Eric Dybeck
Impact in
- Catalysis top 10%
- Catalysts for Methane Reforming
- Catalysis and Oxidation Reactions
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- Crystallography and molecular interactions
Papers in
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- Protein Structure and Dynamics 6
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- Crystallography and molecular interactions 5
- Co-authors
- Michael R. Shirts (5 shared papers)Matthew Neurock (2 shared papers)Craig Plaisance (1 shared paper)David Hibbitts (1 shared paper)Enrique Iglesia (1 shared paper)Gerhard König (1 shared paper)Bernard R. Brooks (1 shared paper)David P. McMahon (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Crystal Growth & Design (4 papers)Analytical Chemistry (2 papers)Journal of Catalysis (1 paper)The Journal of Chemical Physics (1 paper)
- Partner nations
- United StatesUnited KingdomBelgium
In The Last Decade
Eric Dybeck
12 papers receiving 359 citations
Peers
Comparison fields: 5 of 63
- Catalysis 85
- Physical and Theoretical Chemistry 84
- Materials Chemistry 223
- Renewable Energy, Sustainability and the Environment 42
- Computational Theory and Mathematics 40
Countries citing papers authored by Eric Dybeck
This map shows the geographic impact of Eric Dybeck'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 Eric Dybeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Dybeck more than expected).
Fields of papers citing papers by Eric Dybeck
This network shows the impact of papers produced by Eric Dybeck. 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 Eric Dybeck. The network helps show where Eric Dybeck may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Dybeck, 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 | 2017 | 66 | |
| 2 | 2016 | 62 | |
| 3 | 2017 | 44 | |
| 4 | 2016 | 44 | |
| 5 | 2020 | 33 | |
| 6 | 2019 | 26 | |
| 7 | 2023 | 23 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 21 | |
| 10 | 2022 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2024 | 1 |
About Eric Dybeck
Eric Dybeck is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Materials Chemistry, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 363 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Crystallography and molecular interactions (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers), Analytical Chemistry and Chromatography (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Freezing and Crystallization Processes (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Catalysis (85 citations), Physical and Theoretical Chemistry (84 citations), Materials Chemistry (223 citations), Renewable Energy, Sustainability and the Environment (42 citations) and Computational Theory and Mathematics (40 citations). Eric Dybeck has collaborated with scholars based in United States, United Kingdom and Belgium. Frequent co-authors include Michael R. Shirts, Matthew Neurock, Craig Plaisance, David Hibbitts, Enrique Iglesia, Gerhard König, Bernard R. Brooks, David P. McMahon, Graeme M. Day and Geoffrey P. F. Wood. Their work appears in journals such as Journal of Chemical Theory and Computation, Crystal Growth & Design, Analytical Chemistry, Journal of Catalysis and The Journal of Chemical Physics.
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.