Thomas Kisler
Impact in
- Linguistics and Language top 5%
- Linguistic Variation and Morphology
-
- Phonetics and Phonology Research
Papers in
-
- Natural Language Processing Techniques 6
- Speech Recognition and Synthesis 4
- Speech and dialogue systems 2
- Semantic Web and Ontologies 1
- Co-authors
- Florian Schiel (7 shared papers)Uwe D. Reichel (5 shared papers)Han Sloetjes (1 shared paper)Christoph Draxler (3 shared papers)
- Journals
- Language Resources and Evaluation (3 papers)Computer Speech & Language (1 paper)MPG.PuRe (Max Planck Society) (1 paper)Open access LMU (Ludwid Maxmilian's Universitat Munchen) (2 papers)Conference of the International Speech Communication Association (1 paper)
- Partner nations
- GermanyHungaryNetherlands
In The Last Decade
Thomas Kisler
7 papers receiving 276 citations
Peers
Comparison fields: 5 of 39
- Linguistics and Language 111
- Experimental and Cognitive Psychology 204
- Language and Linguistics 60
- Artificial Intelligence 160
- Signal Processing 40
Countries citing papers authored by Thomas Kisler
This map shows the geographic impact of Thomas Kisler'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 Kisler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Kisler more than expected).
Fields of papers citing papers by Thomas Kisler
This network shows the impact of papers produced by Thomas Kisler. 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 Kisler. The network helps show where Thomas Kisler may publish in the future.
Co-authors
The 4 scholars most cited alongside Thomas Kisler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 218 | |
| 2 | Signal processing via web services: The use case WebMAUS | 2012 | 67 |
| 3 | BAS Speech Science Web Services - an Update of Current Developments | 2016 | 14 |
| 4 | The BAS speech data repository | 2016 | 2 |
| 5 | 2015 | 2 | |
| 6 | BAS Web Services for Automatic Subtitle Creation and Anonymization. | 2019 | 1 |
| 7 | 2013 | 1 | |
| 8 | German Alcohol Language Corpus - the Question of Dialect | 2014 | 0 |
About Thomas Kisler
Thomas Kisler is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Management and Signal Processing, having authored 8 papers that have together received 305 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Speech Recognition and Synthesis (4 papers), Speech and dialogue systems (2 papers), Semantic Web and Ontologies (1 paper), Lexicography and Language Studies (1 paper), Scientific Computing and Data Management (1 paper), Linguistic research and analysis (1 paper) and Digital Humanities and Scholarship (1 paper). The work is most often cited by research in Linguistics and Language (111 citations), Experimental and Cognitive Psychology (204 citations), Language and Linguistics (60 citations), Artificial Intelligence (160 citations) and Signal Processing (40 citations). Thomas Kisler has collaborated with scholars based in Germany, Hungary and Netherlands. Frequent co-authors include Florian Schiel, Uwe D. Reichel, Han Sloetjes and Christoph Draxler. Their work appears in journals such as Language Resources and Evaluation, Computer Speech & Language, MPG.PuRe (Max Planck Society), Open access LMU (Ludwid Maxmilian's Universitat Munchen) and Conference of the International Speech Communication Association.
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.