Torsten Zesch
Impact in
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Text Readability and Simplification
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Communication top 2%
- Wikis in Education and Collaboration
Papers in
-
- Natural Language Processing Techniques 75
- Topic Modeling 75
- Text Readability and Simplification 22
- Advanced Text Analysis Techniques 20
- Semantic Web and Ontologies 12
- Speech and dialogue systems 9
- Hate Speech and Cyberbullying Detection 8
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- Wikis in Education and Collaboration 13
- Co-authors
- Iryna Gurevych (46 shared papers)Christof Müller (4 shared papers)Daniel Bär (7 shared papers)Andrea Horbach (17 shared papers)Chris Biemann (5 shared papers)Michael Wojatzki (11 shared papers)Max Mühlhäuser (4 shared papers)Aoife Cahill (3 shared papers)
- Journals
- Language Resources and Evaluation (9 papers)Journal of Biomedical Informatics (1 paper)ITL Review of Applied Linguistics (1 paper)Natural Language Engineering (1 paper)Artificial Intelligence Review (1 paper)
- Partner nations
- GermanyUnited StatesIsrael
In The Last Decade
Torsten Zesch
108 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 1.7k
- Communication 235
- Computer Science Applications 83
- Information Systems 311
- Language and Linguistics 65
Countries citing papers authored by Torsten Zesch
This map shows the geographic impact of Torsten Zesch'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 Torsten Zesch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Zesch more than expected).
Fields of papers citing papers by Torsten Zesch
This network shows the impact of papers produced by Torsten Zesch. 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 Torsten Zesch. The network helps show where Torsten Zesch may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Zesch, 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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 187 | |
| 2 | 2012 | 140 | |
| 3 | Using wiktionary for computing semantic relatedness | 2008 | 93 |
| 4 | 2017 | 91 | |
| 5 | 2009 | 80 | |
| 6 | 2007 | 75 | |
| 7 | Analyzing and accessing Wikipedia as a lexical semantic resource | 2007 | 49 |
| 8 | 2015 | 44 | |
| 9 | 2013 | 43 | |
| 10 | 2006 | 41 | |
| 11 | 2014 | 39 | |
| 12 | 2012 | 39 | |
| 13 | 2009 | 34 | |
| 14 | 2019 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2007 | 31 | |
| 17 | Darmstadt Knowledge Processing Repository Based on UIMA | 2007 | 31 |
| 18 | 2015 | 30 | |
| 19 | 2013 | 28 | |
| 20 | 2013 | 28 |
About Torsten Zesch
Torsten Zesch is a scholar working on Artificial Intelligence, Communication, Information Systems, Molecular Biology and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (75 papers), Topic Modeling (75 papers), Text Readability and Simplification (22 papers), Advanced Text Analysis Techniques (20 papers), Wikis in Education and Collaboration (13 papers), Semantic Web and Ontologies (12 papers), Speech and dialogue systems (9 papers) and Hate Speech and Cyberbullying Detection (8 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Communication (235 citations), Computer Science Applications (83 citations), Information Systems (311 citations) and Language and Linguistics (65 citations). Torsten Zesch has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Iryna Gurevych, Christof Müller, Daniel Bär, Andrea Horbach, Chris Biemann, Michael Wojatzki, Max Mühlhäuser, Aoife Cahill, Lisa Beinborn and Brian Riordan. Their work appears in journals such as Language Resources and Evaluation, Journal of Biomedical Informatics, ITL Review of Applied Linguistics, Natural Language Engineering and Artificial Intelligence Review.
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.