Leo Wanner
Impact in
- Artificial Intelligence top 1%
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Semantic Web and Ontologies
- Hate Speech and Cyberbullying Detection
- Text Readability and Simplification
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
Papers in
-
- Natural Language Processing Techniques 116
- Topic Modeling 84
- Speech and dialogue systems 34
- Semantic Web and Ontologies 33
- Text Readability and Simplification 25
- Speech Recognition and Synthesis 11
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- linguistics and terminology studies 14
- Co-authors
- Bernd Bohnet (26 shared papers)Simon Mille (43 shared papers)Nadjet Bouayad‐Agha (19 shared papers)Paula Fortuna (5 shared papers)Igor Mel’čuk (4 shared papers)A. Beck (1 shared paper)Heinz Breer (1 shared paper)Jörg Strotmann (1 shared paper)
In The Last Decade
Leo Wanner
168 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 1.4k
- Sensory Systems 145
- Language and Linguistics 244
- Management of Technology and Innovation 98
- Communication 68
Countries citing papers authored by Leo Wanner
This map shows the geographic impact of Leo Wanner'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 Leo Wanner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leo Wanner more than expected).
Fields of papers citing papers by Leo Wanner
This network shows the impact of papers produced by Leo Wanner. 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 Leo Wanner. The network helps show where Leo Wanner may publish in the future.
Co-authors
The 25 scholars most cited alongside Leo Wanner, 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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 147 | |
| 2 | 2019 | 97 | |
| 3 | 2007 | 80 | |
| 4 | 2020 | 60 | |
| 5 | 1996 | 48 | |
| 6 | 2014 | 42 | |
| 7 | Broad Coverage Multilingual Deep Sentence Generation with a Stochastic Multi-Level Realizer | 2010 | 40 |
| 8 | 2014 | 37 | |
| 9 | 2019 | 35 | |
| 10 | 2000 | 31 | |
| 11 | 2010 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 1996 | 29 | |
| 14 | 2004 | 29 | |
| 15 | 2014 | 28 | |
| 16 | 2010 | 26 | |
| 17 | 2017 | 25 | |
| 18 | 2005 | 24 | |
| 19 | 2017 | 24 | |
| 20 | Content selection from an ontology-based knowledge base for the generation of football summaries | 2011 | 22 |
About Leo Wanner
Leo Wanner is a scholar working on Artificial Intelligence, Language and Linguistics, Experimental and Cognitive Psychology, Information Systems and Developmental and Educational Psychology, having authored 180 papers that have together received 1.9k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (116 papers), Topic Modeling (84 papers), Speech and dialogue systems (34 papers), Semantic Web and Ontologies (33 papers), Text Readability and Simplification (25 papers), linguistics and terminology studies (14 papers), Second Language Acquisition and Learning (11 papers) and Speech Recognition and Synthesis (11 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Sensory Systems (145 citations), Language and Linguistics (244 citations), Management of Technology and Innovation (98 citations) and Communication (68 citations). Leo Wanner has collaborated with scholars based in Spain, Germany and Greece. Frequent co-authors include Bernd Bohnet, Simon Mille, Nadjet Bouayad‐Agha, Paula Fortuna, Igor Mel’čuk, A. Beck, Heinz Breer, Jörg Strotmann, Mireia Farrús and Joan Codina. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, Terminology International Journal of Theoretical and Applied Issues in Specialized Communication, World Patent Information and Natural Language Engineering.
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.