Eric Gossett
Impact in
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Electronic and Structural Properties of Oxides
- 2D Materials and Applications
- MXene and MAX Phase Materials
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- Computational Drug Discovery Methods
Papers in
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- Machine Learning in Materials Science 4
- X-ray Diffraction in Crystallography 4
- Catalytic Processes in Materials Science 1
- Enzyme Structure and Function 1
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- Inorganic Chemistry and Materials 2
- Co-authors
- Stefano Curtarolo (5 shared papers)Cormac Toher (5 shared papers)Corey Oses (4 shared papers)Alexander Tropsha (1 shared paper)Olexandr Isayev (1 shared paper)David Hicks (3 shared papers)Ohad Levy (3 shared papers)Michael J. Mehl (3 shared papers)
- Journals
- Computational Materials Science (2 papers)Journal of Chemical Information and Modeling (1 paper)Nature Communications (1 paper)Acta Crystallographica Section A Foundations and Advances (1 paper)Medical Entomology and Zoology (1 paper)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Eric Gossett
6 papers receiving 694 citations
Eric Gossett's Hit Papers
Peers
Comparison fields: 5 of 69
- Materials Chemistry 594
- Computational Theory and Mathematics 137
- Structural Biology 7
- Catalysis 34
- Inorganic Chemistry 57
Countries citing papers authored by Eric Gossett
This map shows the geographic impact of Eric Gossett'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 Gossett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Gossett more than expected).
Fields of papers citing papers by Eric Gossett
This network shows the impact of papers produced by Eric Gossett. 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 Gossett. The network helps show where Eric Gossett may publish in the future.
Co-authors
The 19 scholars most cited alongside Eric Gossett, 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 | Universal fragment descriptors for predicting properties of inorganic crystals Hit paper breakdown → | 2017 | 465 |
| 2 | 2019 | 76 | |
| 3 | 2018 | 74 | |
| 4 | 2017 | 42 | |
| 5 | 2018 | 35 | |
| 6 | Discrete Mathematics with Proof | 2002 | 15 |
About Eric Gossett
Eric Gossett is a scholar working on Materials Chemistry, Inorganic Chemistry, Physical and Theoretical Chemistry, Catalysis and Biomedical Engineering, having authored 6 papers that have together received 707 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), X-ray Diffraction in Crystallography (4 papers), Inorganic Chemistry and Materials (2 papers), Catalytic Processes in Materials Science (1 paper), Crystallography and molecular interactions (1 paper), Enzyme Structure and Function (1 paper), Catalysis and Oxidation Reactions (1 paper) and Surface Chemistry and Catalysis (1 paper). The work is most often cited by research in Materials Chemistry (594 citations), Computational Theory and Mathematics (137 citations), Structural Biology (7 citations), Catalysis (34 citations) and Inorganic Chemistry (57 citations). Eric Gossett has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Stefano Curtarolo, Cormac Toher, Corey Oses, Alexander Tropsha, Olexandr Isayev, David Hicks, Ohad Levy, Michael J. Mehl, Frisco Rose and Gus L. W. Hart. Their work appears in journals such as Computational Materials Science, Journal of Chemical Information and Modeling, Nature Communications, Acta Crystallographica Section A Foundations and Advances and Medical Entomology and Zoology.
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.