Thomas Nash
Impact in
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- Teaching and Learning Programming
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- Educational Games and Gamification
Papers in
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- Advanced Database Systems and Queries 1
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- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Co-authors
- Paul E. Anderson (1 shared paper)Renée McCauley (1 shared paper)Jiexiang Li (1 shared paper)Anthony J. Bishara (1 shared paper)W. Bailey Glen (1 shared paper)Gary Hardiman (1 shared paper)Lawrence G. Votta (1 shared paper)Declan G. Murphy (1 shared paper)
- Journals
- British Journal of Mathematical and Statistical Psychology (1 paper)Annual Review of Nuclear and Particle Science (1 paper)Computer Physics Communications (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United StatesBangladeshUnited Kingdom
In The Last Decade
Thomas Nash
9 papers receiving 42 citations
Peers
Comparison fields: 5 of 35
- Computer Science Applications 9
- Developmental and Educational Psychology 11
- Computer Networks and Communications 17
- Hardware and Architecture 4
- Information Systems 8
Countries citing papers authored by Thomas Nash
This map shows the geographic impact of Thomas Nash'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 Thomas Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Nash more than expected).
Fields of papers citing papers by Thomas Nash
This network shows the impact of papers produced by Thomas Nash. 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 Thomas Nash. The network helps show where Thomas Nash may publish in the future.
Co-authors
The 8 scholars most cited alongside Thomas Nash, 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 | 2015 | 14 | |
| 2 | 2017 | 9 | |
| 3 | 2017 | 6 | |
| 4 | 1989 | 6 | |
| 5 | 1987 | 4 | |
| 6 | 2019 | 2 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 1 | |
| 9 | A system-wide productivity figure of merit | 2006 | 1 |
About Thomas Nash
Thomas Nash is a scholar working on Computer Networks and Communications, Molecular Biology, Management Information Systems, Information Systems and Hardware and Architecture, having authored 9 papers that have together received 44 indexed citations. Recurring topics across this work include Accounting and Organizational Management (1 paper), Cloud Computing and Resource Management (1 paper), Gene expression and cancer classification (1 paper), Species Distribution and Climate Change (1 paper), Advanced Database Systems and Queries (1 paper), Superconducting Materials and Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Educational Games and Gamification (1 paper). The work is most often cited by research in Computer Science Applications (9 citations), Developmental and Educational Psychology (11 citations), Computer Networks and Communications (17 citations), Hardware and Architecture (4 citations) and Information Systems (8 citations). Thomas Nash has collaborated with scholars based in United States, Bangladesh and United Kingdom. Frequent co-authors include Paul E. Anderson, Renée McCauley, Jiexiang Li, Anthony J. Bishara, W. Bailey Glen, Gary Hardiman, Lawrence G. Votta and Declan G. Murphy. Their work appears in journals such as British Journal of Mathematical and Statistical Psychology, Annual Review of Nuclear and Particle Science, Computer Physics Communications and Methods in molecular biology.
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.