Torsten Zesch

3.2k citations
129 papers · 2.3k · h-index 28

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text Readability and Simplification
    • Semantic Web and Ontologies
    • Text and Document Classification Technologies
    • Wikis in Education and Collaboration

Papers in

    • Topic Modeling 77
    • Natural Language Processing Techniques 75
    • Text Readability and Simplification 21
    • Advanced Text Analysis Techniques 19
    • Semantic Web and Ontologies 13
    • Hate Speech and Cyberbullying Detection 11
    • Speech and dialogue systems 9
    • Wikis in Education and Collaboration 13

Torsten Zesch

119 papers receiving 2.1k citations

Peers

Torsten Zesch
Comparison fields: 5 of 73
  • Artificial Intelligence 2.1k
  • Communication 310
  • Computer Science Applications 94
  • Information Systems 375
  • Language and Linguistics 114
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Citations per field
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Citations per year

Countries citing papers authored by Torsten Zesch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Torsten Zesch Line = papers co-authored together Torsten Zesch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008245
2 2012160
3 2017114
4
Using wiktionary for computing semantic relatedness
2008114
5 200797
6 200993
7
Analyzing and accessing Wikipedia as a lexical semantic resource
200761
8 201558
9 201353
10 200652
11 201244
12 201444
13 200942
14 201441
15 201939
16 200738
17 200737
18 201236
19 201534
20
Wikipedia Revision Toolkit: Efficiently Accessing Wikipedia’s Edit History
201133

About Torsten Zesch

Torsten Zesch is a scholar working on Artificial Intelligence, Communication, Information Systems, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 129 papers that have together received 2.3k indexed citations. Recurring topics across this work include Topic Modeling (77 papers), Natural Language Processing Techniques (75 papers), Text Readability and Simplification (21 papers), Advanced Text Analysis Techniques (19 papers), Semantic Web and Ontologies (13 papers), Wikis in Education and Collaboration (13 papers), Hate Speech and Cyberbullying Detection (11 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Communication (310 citations), Computer Science Applications (94 citations), Information Systems (375 citations) and Language and Linguistics (114 citations). Torsten Zesch has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Iryna Gurevych, Christof Müller, Andrea Horbach, Daniel Bär, Chris Biemann, Michael Wojatzki, Max Mühlhäuser, Aoife Cahill, Brian Riordan and Chongmin Lee. Their work appears in journals such as Language Resources and Evaluation, Theory and applications of categories, Natural Language Engineering, Artificial Intelligence Review and ITL Review of Applied Linguistics.

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.

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