Thomas Zeugmann
Impact in
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- Computability, Logic, AI Algorithms
- semigroups and automata theory
- Artificial Intelligence top 2%
- Machine Learning and Algorithms
- Algorithms and Data Compression
- Machine Learning and Data Classification
- Domain Adaptation and Few-Shot Learning
- Imbalanced Data Classification Techniques
Papers in
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- Machine Learning and Algorithms 37
- Algorithms and Data Compression 21
- Machine Learning and Data Classification 3
- Imbalanced Data Classification Techniques 2
- Domain Adaptation and Few-Shot Learning 2
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- Computability, Logic, AI Algorithms 20
- semigroups and automata theory 10
- Co-authors
- Steffen Lange (14 shared papers)Sandra Zilles (5 shared papers)Rolf Wiehagen (7 shared papers)Efim Kinber (6 shared papers)Osamu Watanabe (1 shared paper)Sanjay Jain (5 shared papers)Peter Rossmanith (2 shared papers)John Case (3 shared papers)
- Journals
- Theoretical Computer Science (11 papers)Information and Computation (6 papers)Journal of Computer and System Sciences (2 papers)International Journal of Foundations of Computer Science (2 papers)Theory of Computing Systems (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Thomas Zeugmann
54 papers receiving 519 citations
Peers
Comparison fields: 5 of 51
- Computational Theory and Mathematics 368
- Artificial Intelligence 491
- Computer Networks and Communications 52
- Management Science and Operations Research 18
- Statistics and Probability 8
Countries citing papers authored by Thomas Zeugmann
This map shows the geographic impact of Thomas Zeugmann'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 Zeugmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Zeugmann more than expected).
Fields of papers citing papers by Thomas Zeugmann
This network shows the impact of papers produced by Thomas Zeugmann. 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 Zeugmann. The network helps show where Thomas Zeugmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Zeugmann, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 42 | |
| 2 | 1993 | 38 | |
| 3 | 1999 | 32 | |
| 4 | 1992 | 32 | |
| 5 | 1994 | 27 | |
| 6 | 1995 | 26 | |
| 7 | 2008 | 26 | |
| 8 | Proceedings of the 20th international conference on Algorithmic learning theory | 2009 | 26 |
| 9 | 2009 | 20 | |
| 10 | 2008 | 19 | |
| 11 | 1993 | 18 | |
| 12 | Monotonic Versus Nonmonotonic Language Learning | 1991 | 17 |
| 13 | 1996 | 16 | |
| 14 | 2001 | 15 | |
| 15 | 1996 | 14 | |
| 16 | 2001 | 12 | |
| 17 | 2001 | 11 | |
| 18 | 1998 | 11 | |
| 19 | 1991 | 10 | |
| 20 | 1985 | 9 |
About Thomas Zeugmann
Thomas Zeugmann is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Information Systems and Management Science and Operations Research, having authored 60 papers that have together received 538 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (37 papers), Algorithms and Data Compression (21 papers), Computability, Logic, AI Algorithms (20 papers), semigroups and automata theory (10 papers), Optimization and Search Problems (6 papers), Machine Learning and Data Classification (3 papers), Imbalanced Data Classification Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computational Theory and Mathematics (368 citations), Artificial Intelligence (491 citations), Computer Networks and Communications (52 citations), Management Science and Operations Research (18 citations) and Statistics and Probability (8 citations). Thomas Zeugmann has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Steffen Lange, Sandra Zilles, Rolf Wiehagen, Efim Kinber, Osamu Watanabe, Sanjay Jain, Peter Rossmanith, John Case, Ricard Gavaldà and Gábor Lugosi. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Journal of Computer and System Sciences, International Journal of Foundations of Computer Science and Theory of Computing Systems.
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.