Sam Cox

1.1k citations
4 papers · 340 · 1 hit paper · h-index 3

Impact in

Papers in

Sam Cox

4 papers receiving 325 citations

Hit Papers

Augmenting large language models with chemistry tools 2024 · 268 citations
2680+1Years since publication50100150200250

Peers

Sam Cox
Comparison fields: 5 of 75
  • Health Informatics 15
  • Computational Theory and Mathematics 77
  • Information Systems and Management 33
  • Materials Chemistry 189
  • Artificial Intelligence 73
Replace Robert MacKnight with:
Robert MacKnight United States
Oliver Schilter Switzerland
Carlo Baldassari Switzerland
Ben Kline United States
Geemi P. Wellawatte United States
Tara Zepel Canada
Amalie Trewartha United States
Edward J. Beard United Kingdom
Luca Torresi Germany
Jonas Lederer Germany
Sam Cox relative to Robert MacKnight United States Robert MacKnight's profile →
Citations per field
00.5×2.8×
Robert MacKnight · 1×
Citations per year

Countries citing papers authored by Sam Cox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 9 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.

Border = papers with Sam Cox Line = papers co-authored together Sam Cox links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Augmenting large language models with chemistry tools
Hit paper breakdown →
2024268
2 202368
3 20223
4 20221

About Sam Cox

Sam Cox is a scholar working on Molecular Biology, Artificial Intelligence, Materials Chemistry, Astronomy and Astrophysics and Information Systems, having authored 4 papers that have together received 340 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Machine Learning in Materials Science (2 papers), Software Engineering Research (1 paper), Molecular spectroscopy and chirality (1 paper), Advanced NMR Techniques and Applications (1 paper), Space Satellite Systems and Control (1 paper), Protein Structure and Dynamics (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Health Informatics (15 citations), Computational Theory and Mathematics (77 citations), Information Systems and Management (33 citations), Materials Chemistry (189 citations) and Artificial Intelligence (73 citations). Sam Cox has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Andrew Dickson White, Oliver Schilter, Philippe Schwaller, Andres M. Bran, Carlo Baldassari, Ziyue Yang, Glen M. Hocky, Geemi P. Wellawatte and Yuvraj Singh. Their work appears in journals such as Journal of Chemical Theory and Computation, 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.

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