Stephan Peitz
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Algorithms and Data Compression
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 27
- Topic Modeling 25
- Speech and dialogue systems 8
- Speech Recognition and Synthesis 6
- Semantic Web and Ontologies 5
- Text Readability and Simplification 4
- Algorithms and Data Compression 3
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- Web Data Mining and Analysis 1
- Co-authors
- Hermann Ney (25 shared papers)Markus Freitag (16 shared papers)Joern Wuebker (13 shared papers)Udhyakumar Nallasamy (1 shared paper)Matthias Paulik (1 shared paper)Matthias Huck (11 shared papers)Arne Mauser (2 shared papers)Saab Mansour (4 shared papers)
- Journals
- The Prague Bulletin of Mathematical Linguistics (2 papers)IWSLT (1 paper)RWTH Publications (RWTH Aachen) (6 papers)RWTH Publications (RWTH Aachen) (11 papers)
- Partner nations
- GermanyFranceNetherlands
In The Last Decade
Stephan Peitz
23 papers receiving 283 citations
Peers
Comparison fields: 5 of 22
- Artificial Intelligence 333
- Computer Vision and Pattern Recognition 67
- Signal Processing 10
- Health Informatics 1
- Human-Computer Interaction 4
Countries citing papers authored by Stephan Peitz
This map shows the geographic impact of Stephan Peitz'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 Peitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Peitz more than expected).
Fields of papers citing papers by Stephan Peitz
This network shows the impact of papers produced by Stephan Peitz. 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 Peitz. The network helps show where Stephan Peitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Peitz, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | Modeling punctuation prediction as machine translation. | 2011 | 45 |
| 3 | Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation | 2012 | 33 |
| 4 | 2013 | 32 | |
| 5 | Proceedings of the International Workshop on Spoken Language Translation (IWSLT 2013) | 2013 | 29 |
| 6 | The RWTH Aachen Machine Translation System for WMT 2010 | 2010 | 19 |
| 7 | Spoken Language Translation Using Automatically Transcribed Text in Training | 2012 | 13 |
| 8 | 2014 | 13 | |
| 9 | A Cocktail of Deep Syntactic Features for Hierarchical Machine Translation. | 2010 | 12 |
| 10 | Discriminative Reordering Extensions for Hierarchical Phrase-Based Machine Translation | 2012 | 10 |
| 11 | 2011 | 8 | |
| 12 | 2012 | 7 | |
| 13 | 2014 | 7 | |
| 14 | If i only had a parser: poor man's syntax for hierarchical machine translation. | 2010 | 6 |
| 15 | 2014 | 6 | |
| 16 | The RWTH Aachen German and English LVCSR systems for IWSLT-2013 | 2013 | 5 |
| 17 | 2015 | 4 | |
| 18 | Joint WMT 2013 Submission of the QUAERO Project | 2013 | 3 |
| 19 | The RWTH Aachen System for NTCIR-10 PatentMT | 2011 | 3 |
| 20 | Forced Derivations for Hierarchical Machine Translation | 2012 | 3 |
About Stephan Peitz
Stephan Peitz is a scholar working on Artificial Intelligence, Information Systems, Infectious Diseases, Organic Chemistry and Surgery, having authored 27 papers that have together received 338 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (25 papers), Speech and dialogue systems (8 papers), Speech Recognition and Synthesis (6 papers), Semantic Web and Ontologies (5 papers), Text Readability and Simplification (4 papers), Algorithms and Data Compression (3 papers) and Web Data Mining and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (333 citations), Computer Vision and Pattern Recognition (67 citations), Signal Processing (10 citations), Health Informatics (1 citation) and Human-Computer Interaction (4 citations). Stephan Peitz has collaborated with scholars based in Germany, France and Netherlands. Frequent co-authors include Hermann Ney, Markus Freitag, Joern Wuebker, Udhyakumar Nallasamy, Matthias Paulik, Matthias Huck, Arne Mauser, Saab Mansour, Jan-Thorsten Peter and David Vilar. Their work appears in journals such as The Prague Bulletin of Mathematical Linguistics, IWSLT, RWTH Publications (RWTH Aachen) and RWTH Publications (RWTH Aachen).
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.