Josh E. Campbell
Impact in
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- Crystallography and molecular interactions
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- Machine Learning in Materials Science
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
Papers in
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- Machine Learning in Materials Science 4
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- Computational Drug Discovery Methods 3
- Co-authors
- Graeme M. Day (4 shared papers)Jack Yang (2 shared papers)Peter J. Bygrave (1 shared paper)David H. Case (1 shared paper)Michele Ceriotti (1 shared paper)Sandip De (1 shared paper)Sean Li (1 shared paper)Chi Cheng (1 shared paper)
- Journals
- Chemical Science (1 paper)Journal of Chemical Theory and Computation (1 paper)Journal of Materials Chemistry C (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Josh E. Campbell
4 papers receiving 314 citations
Peers
Comparison fields: 5 of 39
- Physical and Theoretical Chemistry 129
- Materials Chemistry 231
- Computational Theory and Mathematics 79
- Inorganic Chemistry 40
- Catalysis 15
Countries citing papers authored by Josh E. Campbell
This map shows the geographic impact of Josh E. Campbell'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 Josh E. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh E. Campbell more than expected).
Fields of papers citing papers by Josh E. Campbell
This network shows the impact of papers produced by Josh E. Campbell. 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 Josh E. Campbell. The network helps show where Josh E. Campbell may publish in the future.
Co-authors
The 8 scholars most cited alongside Josh E. Campbell, 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 | 2018 | 96 | |
| 2 | 2015 | 95 | |
| 3 | 2017 | 86 | |
| 4 | 2020 | 38 |
About Josh E. Campbell
Josh E. Campbell is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 4 papers that have together received 315 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers), Organic Electronics and Photovoltaics (2 papers), Crystallography and molecular interactions (2 papers) and Organic and Molecular Conductors Research (1 paper). The work is most often cited by research in Physical and Theoretical Chemistry (129 citations), Materials Chemistry (231 citations), Computational Theory and Mathematics (79 citations), Inorganic Chemistry (40 citations) and Catalysis (15 citations). Josh E. Campbell has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Graeme M. Day, Jack Yang, Peter J. Bygrave, David H. Case, Michele Ceriotti, Sandip De, Sean Li and Chi Cheng. Their work appears in journals such as Chemical Science, Journal of Chemical Theory and Computation, Journal of Materials Chemistry C and Chemistry of Materials.
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.