Thomas Ellman
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
- Software top 10%
Papers in
-
- Advanced Multi-Objective Optimization Algorithms 8
- Formal Methods in Verification 4
-
- AI-based Problem Solving and Planning 10
- Machine Learning and Algorithms 3
- Metaheuristic Optimization Algorithms Research 2
- Co-authors
- Mark Schwabacher (8 shared papers)Haym Hirsh (7 shared papers)Peter L. Chiodini (1 shared paper)Margaret S. Armstrong (1 shared paper)C. W. M. Whitty (1 shared paper)Richard Stümpfle (1 shared paper)Prabha Krishnan (1 shared paper)Andrew Reid (1 shared paper)
- Journals
- Automated Software Engineering (3 papers)Artificial intelligence for engineering design analysis and manufacturing (3 papers)Research in Engineering Design (1 paper)ACM Computing Surveys (1 paper)Tropical Medicine & International Health (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Thomas Ellman
23 papers receiving 414 citations
Peers
Comparison fields: 5 of 79
- Parasitology 81
- Software 38
- Artificial Intelligence 225
- Computational Theory and Mathematics 67
- Industrial and Manufacturing Engineering 38
Countries citing papers authored by Thomas Ellman
This map shows the geographic impact of Thomas Ellman'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 Ellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Ellman more than expected).
Fields of papers citing papers by Thomas Ellman
This network shows the impact of papers produced by Thomas Ellman. 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 Ellman. The network helps show where Thomas Ellman may publish in the future.
Co-authors
The 17 scholars most cited alongside Thomas Ellman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 114 | |
| 2 | 2003 | 94 | |
| 3 | 2000 | 47 | |
| 4 | 1985 | 41 | |
| 5 | 1998 | 25 | |
| 6 | 1988 | 23 | |
| 7 | 2001 | 15 | |
| 8 | 1993 | 15 | |
| 9 | 1998 | 14 | |
| 10 | 1998 | 9 | |
| 11 | 1993 | 7 | |
| 12 | 1986 | 7 | |
| 13 | 2002 | 6 | |
| 14 | 2003 | 6 | |
| 15 | 2004 | 5 | |
| 16 | 1995 | 5 | |
| 17 | 1996 | 5 | |
| 18 | 2002 | 3 | |
| 19 | 1997 | 3 | |
| 20 | 1996 | 3 |
About Thomas Ellman
Thomas Ellman is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Industrial and Manufacturing Engineering and Computer Science Applications, having authored 27 papers that have together received 453 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (10 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Manufacturing Process and Optimization (5 papers), Model-Driven Software Engineering Techniques (5 papers), Formal Methods in Verification (4 papers), Teaching and Learning Programming (4 papers), Machine Learning and Algorithms (3 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Parasitology (81 citations), Software (38 citations), Artificial Intelligence (225 citations), Computational Theory and Mathematics (67 citations) and Industrial and Manufacturing Engineering (38 citations). Thomas Ellman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark Schwabacher, Haym Hirsh, Peter L. Chiodini, Margaret S. Armstrong, C. W. M. Whitty, Richard Stümpfle, Prabha Krishnan, Andrew Reid, Suzanne Filteau and Richard P. Beesley. Their work appears in journals such as Automated Software Engineering, Artificial intelligence for engineering design analysis and manufacturing, Research in Engineering Design, ACM Computing Surveys and Tropical Medicine & International Health.
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.