Sam Cox
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- Chemical Synthesis and Analysis 1
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- Topic Modeling 2
- Co-authors
- Andrew Dickson White (3 shared papers)Andres M. Bran (1 shared paper)Philippe Schwaller (1 shared paper)Oliver Schilter (1 shared paper)Carlo Baldassari (1 shared paper)Heta A. Gandhi (1 shared paper)Ziyue Yang (1 shared paper)Yuvraj Singh (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (1 paper)Machine Learning Science and Technology (1 paper)Nature Machine Intelligence (1 paper)Journal of Space Safety Engineering (1 paper)Digital Discovery (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Sam Cox
4 papers receiving 409 citations
Sam Cox's Hit Papers
Peers
Comparison fields: 5 of 78
- Health Informatics 16
- Computational Theory and Mathematics 81
- Materials Chemistry 214
- Information Systems and Management 33
- Artificial Intelligence 75
Countries citing papers authored by Sam Cox
This map shows the geographic impact of Sam Cox'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 Sam Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Cox more than expected).
Fields of papers citing papers by Sam Cox
This network shows the impact of papers produced by Sam Cox. 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 Sam Cox. The network helps show where Sam Cox may publish in the future.
Co-authors
The 10 scholars most cited alongside Sam Cox, 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 | Augmenting large language models with chemistry tools Hit paper breakdown → | 2024 | 340 |
| 2 | 2023 | 76 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2026 | 0 |
About Sam Cox
Sam Cox is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Astronomy and Astrophysics and Information Systems, having authored 5 papers that have together received 420 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (2 papers), Topic Modeling (2 papers), Molecular spectroscopy and chirality (1 paper), Software Engineering Research (1 paper), Astro and Planetary Science (1 paper), Chemical Synthesis and Analysis (1 paper), Space exploration and regulation (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (16 citations), Computational Theory and Mathematics (81 citations), Materials Chemistry (214 citations), Information Systems and Management (33 citations) and Artificial Intelligence (75 citations). Sam Cox has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Andrew Dickson White, Andres M. Bran, Philippe Schwaller, Oliver Schilter, Carlo Baldassari, Heta A. Gandhi, Ziyue Yang, Yuvraj Singh, Glen M. Hocky and Geemi P. Wellawatte. Their work appears in journals such as Journal of Chemical Theory and Computation, Machine Learning Science and Technology, Nature Machine Intelligence, Journal of Space Safety Engineering and Digital Discovery.
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.