Klaus U. Schulz
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Algorithms and Data Compression
- Semantic Web and Ontologies
- Topic Modeling
- Logic, programming, and type systems
Papers in
-
- Natural Language Processing Techniques 24
- Algorithms and Data Compression 20
- Semantic Web and Ontologies 7
- Logic, programming, and type systems 6
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- semigroups and automata theory 8
- Co-authors
- Stoyan Mihov (14 shared papers)Franz Baader (4 shared papers)Georg Gottlob (2 shared papers)Christoph Koch (2 shared papers)Holger Meuss (7 shared papers)Andreas Neumann (2 shared papers)Manfred Schmidt-Schauß (1 shared paper)Paul Buitelaar (1 shared paper)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (6 papers)Theoretical Computer Science (3 papers)Natural Language Engineering (2 papers)Computational Linguistics (2 papers)ACM Transactions on Information Systems (1 paper)
- Partner nations
- GermanyBulgariaUnited States
In The Last Decade
Klaus U. Schulz
61 papers receiving 594 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 539
- Computational Theory and Mathematics 143
- Signal Processing 91
- Computer Vision and Pattern Recognition 140
- Computer Networks and Communications 154
Countries citing papers authored by Klaus U. Schulz
This map shows the geographic impact of Klaus U. Schulz'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 Klaus U. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus U. Schulz more than expected).
Fields of papers citing papers by Klaus U. Schulz
This network shows the impact of papers produced by Klaus U. Schulz. 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 Klaus U. Schulz. The network helps show where Klaus U. Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Klaus U. Schulz, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 116 | |
| 2 | 1996 | 45 | |
| 3 | 2004 | 40 | |
| 4 | 2006 | 38 | |
| 5 | 2004 | 33 | |
| 6 | 2006 | 32 | |
| 7 | 2010 | 28 | |
| 8 | 2007 | 23 | |
| 9 | 2009 | 23 | |
| 10 | 2010 | 20 | |
| 11 | 2005 | 19 | |
| 12 | 2002 | 18 | |
| 13 | 1996 | 17 | |
| 14 | 1993 | 17 | |
| 15 | 2009 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2001 | 13 | |
| 18 | 2004 | 13 | |
| 19 | 2005 | 12 | |
| 20 | 2007 | 11 |
About Klaus U. Schulz
Klaus U. Schulz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 65 papers that have together received 704 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Algorithms and Data Compression (20 papers), Handwritten Text Recognition Techniques (13 papers), Advanced Database Systems and Queries (11 papers), Data Management and Algorithms (9 papers), semigroups and automata theory (8 papers), Semantic Web and Ontologies (7 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Artificial Intelligence (539 citations), Computational Theory and Mathematics (143 citations), Signal Processing (91 citations), Computer Vision and Pattern Recognition (140 citations) and Computer Networks and Communications (154 citations). Klaus U. Schulz has collaborated with scholars based in Germany, Bulgaria and United States. Frequent co-authors include Stoyan Mihov, Franz Baader, Georg Gottlob, Christoph Koch, Holger Meuss, Andreas Neumann, Manfred Schmidt-Schauß, Paul Buitelaar, François Bry and Elisabeth Leiss. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Theoretical Computer Science, Natural Language Engineering, Computational Linguistics and ACM Transactions on Information 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.