Thomas Ellman
Impact in
- Software top 10%
- Model-Driven Software Engineering Techniques
- Artificial Intelligence top 10%
- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
- Machine Learning and Algorithms
- Logic, programming, and type systems
Papers in
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- AI-based Problem Solving and Planning 9
- Artificial Intelligence in Games 2
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- Advanced Multi-Objective Optimization Algorithms 6
- Formal Methods in Verification 3
- Co-authors
- Mark Schwabacher (6 shared papers)Haym Hirsh (5 shared papers)Arunava Banerjee (2 shared papers)Takahiro Murata (1 shared paper)Ke-Thia Yao (1 shared paper)Gerard R. Richter (1 shared paper)
- Journals
- Artificial intelligence for engineering design analysis and manufacturing (3 papers)Automated Software Engineering (3 papers)Research in Engineering Design (1 paper)ACM Computing Surveys (1 paper)View (5 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Thomas Ellman
17 papers receiving 219 citations
Peers
Comparison fields: 5 of 47
- Software 30
- Artificial Intelligence 182
- Computational Theory and Mathematics 45
- Computer Networks and Communications 42
- Industrial and Manufacturing Engineering 17
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 6 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 81 | |
| 2 | 1985 | 34 | |
| 3 | 1993 | 25 | |
| 4 | 1998 | 19 | |
| 5 | 1988 | 18 | |
| 6 | 1993 | 14 | |
| 7 | 1998 | 9 | |
| 8 | 1998 | 8 | |
| 9 | 2002 | 6 | |
| 10 | 1995 | 5 | |
| 11 | 2004 | 4 | |
| 12 | 2003 | 3 | |
| 13 | 1997 | 3 | |
| 14 | 1996 | 2 | |
| 15 | 2002 | 2 | |
| 16 | 2006 | 2 | |
| 17 | Approximation and Abstraction Techniques for Generating Concise Answers to Database Queries | 1995 | 1 |
| 18 | 1989 | 1 | |
| 19 | 1995 | 1 | |
| 20 | A toolbox and a record for scientific model development | 1994 | 0 |
About Thomas Ellman
Thomas Ellman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Software, Industrial and Manufacturing Engineering and Computer Networks and Communications, having authored 21 papers that have together received 238 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Model-Driven Software Engineering Techniques (5 papers), Manufacturing Process and Optimization (4 papers), Formal Methods in Verification (3 papers), Teaching and Learning Programming (3 papers), Artificial Intelligence in Games (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Software (30 citations), Artificial Intelligence (182 citations), Computational Theory and Mathematics (45 citations), Computer Networks and Communications (42 citations) and Industrial and Manufacturing Engineering (17 citations). Thomas Ellman has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Mark Schwabacher, Haym Hirsh, Arunava Banerjee, Takahiro Murata, Ke-Thia Yao and Gerard R. Richter. Their work appears in journals such as Artificial intelligence for engineering design analysis and manufacturing, Automated Software Engineering, Research in Engineering Design, ACM Computing Surveys and View.
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.