Tom Payne
Impact in
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- Optimization and Search Problems
- Caching and Content Delivery
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- Auction Theory and Applications
Papers in
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- Fungal and yeast genetics research 2
- Biomedical Text Mining and Ontologies 2
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- Endoplasmic Reticulum Stress and Disease 2
- Plant Pathogens and Fungal Diseases 2
- Co-authors
- Marek Chrobák (2 shared papers)John M. Whipps (2 shared papers)John P. Clarkson (2 shared papers)Andrew Mead (2 shared papers)David B. Archer (2 shared papers)Simon V. Avery (2 shared papers)Darrell Sleep (2 shared papers)Howard Karloff (1 shared paper)
- Journals
- Plant Pathology (2 papers)FEBS Letters (1 paper)SIAM Journal on Discrete Mathematics (1 paper)Microbial Cell Factories (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Tom Payne
16 papers receiving 447 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 188
- Management Science and Operations Research 73
- Computer Science Applications 26
- Cell Biology 70
- Biotechnology 36
Countries citing papers authored by Tom Payne
This map shows the geographic impact of Tom Payne'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 Tom Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Payne more than expected).
Fields of papers citing papers by Tom Payne
This network shows the impact of papers produced by Tom Payne. 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 Tom Payne. The network helps show where Tom Payne may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Payne, 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 | 1991 | 146 | |
| 2 | 2008 | 65 | |
| 3 | 2002 | 44 | |
| 4 | 1990 | 41 | |
| 5 | 2004 | 33 | |
| 6 | 2010 | 33 | |
| 7 | Mapping to MeSH: The Art of Trapping MeSH Equivalence from within Narrative Text | 1988 | 28 |
| 8 | 2008 | 28 | |
| 9 | 2020 | 23 | |
| 10 | 2005 | 21 | |
| 11 | 2006 | 5 | |
| 12 | Investigating Generative Factors of Score Matrices | 2007 | 4 |
| 13 | A space-based classification system for RF transients | 1993 | 4 |
| 14 | 2006 | 3 | |
| 15 | 2006 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2006 | 1 |
About Tom Payne
Tom Payne is a scholar working on Molecular Biology, Cell Biology, Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 17 papers that have together received 482 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Fungal and yeast genetics research (2 papers), Optimization and Search Problems (2 papers), Experimental Learning in Engineering (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Topic Modeling (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Computer Networks and Communications (188 citations), Management Science and Operations Research (73 citations), Computer Science Applications (26 citations), Cell Biology (70 citations) and Biotechnology (36 citations). Tom Payne has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Marek Chrobák, John M. Whipps, John P. Clarkson, Andrew Mead, David B. Archer, Simon V. Avery, Darrell Sleep, Howard Karloff, Sundar Vishwanathan and Leslie Evans. Their work appears in journals such as Plant Pathology, FEBS Letters, SIAM Journal on Discrete Mathematics, Microbial Cell Factories and Journal of Biological Chemistry.
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.