Stan J. Thomas
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
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- Advanced Database Systems and Queries
- Distributed systems and fault tolerance
Papers in
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- Information Systems Education and Curriculum Development 3
- Cloud Computing and Resource Management 2
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- Advanced Database Systems and Queries 2
- Co-authors
- Patrick C. Fischer (2 shared papers)Dirk Van Gucht (1 shared paper)Norman P. Jouppi (1 shared paper)Jacquelyn S. Fetrow (3 shared papers)Larry W. Daniel (1 shared paper)Michael J. Oudshoorn (2 shared papers)Allen Parrish (2 shared papers)Rajendra K. Raj (2 shared papers)
- Journals
- Journal of Computer and System Sciences (1 paper)Journal of Theoretical Biology (1 paper)Communications of the ACM (1 paper)PubMed (1 paper)ACM SIGCUE Outlook (1 paper)
- Partner nations
- United StatesJapanIreland
In The Last Decade
Stan J. Thomas
17 papers receiving 219 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 125
- Computer Networks and Communications 156
- Artificial Intelligence 126
- Computer Science Applications 13
- Human-Computer Interaction 12
Countries citing papers authored by Stan J. Thomas
This map shows the geographic impact of Stan J. Thomas'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 Stan J. Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan J. Thomas more than expected).
Fields of papers citing papers by Stan J. Thomas
This network shows the impact of papers produced by Stan J. Thomas. 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 Stan J. Thomas. The network helps show where Stan J. Thomas may publish in the future.
Co-authors
The 10 scholars most cited alongside Stan J. Thomas, 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 | Nested Relational Structures. | 1986 | 110 |
| 2 | 1985 | 30 | |
| 3 | 2004 | 22 | |
| 4 | 2005 | 20 | |
| 5 | A non-first-normal-form relational database model | 1983 | 15 |
| 6 | 1998 | 13 | |
| 7 | 2014 | 12 | |
| 8 | 2018 | 7 | |
| 9 | 1998 | 5 | |
| 10 | 2005 | 3 | |
| 11 | 1998 | 2 | |
| 12 | 2020 | 2 | |
| 13 | 1998 | 2 | |
| 14 | 2010 | 1 | |
| 15 | 2010 | 1 | |
| 16 | 1998 | 1 | |
| 17 | Symbolic inversion of control relationships in model-based expert systems | 1988 | 1 |
About Stan J. Thomas
Stan J. Thomas is a scholar working on Information Systems, Computer Networks and Communications, Media Technology, Computer Science Applications and Molecular Biology, having authored 17 papers that have together received 247 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (4 papers), Teaching and Learning Programming (4 papers), Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (3 papers), Information Systems Education and Curriculum Development (3 papers), Cloud Computing and Resource Management (2 papers), Advanced Database Systems and Queries (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Signal Processing (125 citations), Computer Networks and Communications (156 citations), Artificial Intelligence (126 citations), Computer Science Applications (13 citations) and Human-Computer Interaction (12 citations). Stan J. Thomas has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include Patrick C. Fischer, Dirk Van Gucht, Norman P. Jouppi, Jacquelyn S. Fetrow, Larry W. Daniel, Michael J. Oudshoorn, Allen Parrish, Rajendra K. Raj, Cary Laxer and James L. Norris. Their work appears in journals such as Journal of Computer and System Sciences, Journal of Theoretical Biology, Communications of the ACM, PubMed and ACM SIGCUE Outlook.
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.