Stephan Kanthak
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Hardware and Architecture
- Co-authors
- Hermann NeyL. WellingEvgeny MatusovRalf SchlüterRichard ZensDavid VilarMehryar MohriMichael Riley
- Topics
- Natural Language Processing Techniques (15 papers)Speech Recognition and Synthesis (15 papers)Topic Modeling (6 papers)
- Journals
- IEEE Transactions on Speech and Audio ProcessingIEEE International Conference on Acoustics Speech and Signal ProcessingIWSLT
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Stephan Kanthak
19 papers receiving 369 citations
Peers
Comparison fields: 5 of 27
- Artificial Intelligence 439
- Signal Processing 183
- Computer Vision and Pattern Recognition 37
- Experimental and Cognitive Psychology 20
- Hardware and Architecture 7
Countries citing papers authored by Stephan Kanthak
This map shows the geographic impact of Stephan Kanthak'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 Stephan Kanthak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Kanthak more than expected).
Fields of papers citing papers by Stephan Kanthak
This network shows the impact of papers produced by Stephan Kanthak. 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 Stephan Kanthak. The network helps show where Stephan Kanthak may publish in the future.
Co-authorship network of co-authors of Stephan Kanthak
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Kanthak. A scholar is included among the top collaborators of Stephan Kanthak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephan Kanthak. Stephan Kanthak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | Finite-state transducer-based statistical machine translation using joint probabilities. | 1 |
| 4 | 32 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 53 | |
| 8 | 61 | |
| 9 | Efficient statistical machine translation with constrained reordering | 6 |
| 10 | 21 | |
| 11 | 20 | |
| 12 | 56 | |
| 13 | 24 | |
| 14 | 35 | |
| 15 | 19 | |
| 16 | 18 | |
| 17 | The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech | 2 |
| 18 | Within-Word vs. Across-Word Decoding for Online Speech Recognition | 3 |
| 19 | 56 | |
| 20 | 18 |
About Stephan Kanthak
Stephan Kanthak is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 454 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Speech Recognition and Synthesis (15 papers) and Topic Modeling (6 papers). The work is most often cited by research in Signal Processing (183 citations), Artificial Intelligence (439 citations) and Computer Vision and Pattern Recognition (37 citations). Stephan Kanthak has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Hermann Ney, L. Welling, Evgeny Matusov, Ralf Schlüter, Richard Zens, David Vilar, Mehryar Mohri, Michael Riley, M. Bisani and Sirko Molau. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE International Conference on Acoustics Speech and Signal Processing and IWSLT.
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.