Ulrich Germann
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Algorithms and Data Compression
- Text Readability and Simplification
- Semantic Web and Ontologies
- Speech and dialogue systems
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- Multimodal Machine Learning Applications
- Handwritten Text Recognition Techniques
Papers in
-
- Natural Language Processing Techniques 33
- Topic Modeling 30
- Algorithms and Data Compression 8
- Semantic Web and Ontologies 7
- Text Readability and Simplification 4
- Speech and dialogue systems 2
- Co-authors
- Kevin Knight (5 shared papers)Daniel Marcu (5 shared papers)Kenji Yamada (4 shared papers)Philipp Koehn (7 shared papers)Barry Haddow (7 shared papers)Alexandra Birch (2 shared papers)Kenneth Heafield (3 shared papers)Eric Joanis (2 shared papers)
- Journals
- Machine Translation (2 papers)Artificial Intelligence (1 paper)ACM Transactions on Asian Language Information Processing (1 paper)Baltic Journal of Modern Computing (1 paper)The Prague Bulletin of Mathematical Linguistics (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ulrich Germann
37 papers receiving 559 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 660
- Computer Vision and Pattern Recognition 127
- Language and Linguistics 36
- Information Systems 52
- Software 5
Countries citing papers authored by Ulrich Germann
This map shows the geographic impact of Ulrich Germann'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 Ulrich Germann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Germann more than expected).
Fields of papers citing papers by Ulrich Germann
This network shows the impact of papers produced by Ulrich Germann. 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 Ulrich Germann. The network helps show where Ulrich Germann may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulrich Germann, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 139 | |
| 2 | 2017 | 89 | |
| 3 | 2017 | 48 | |
| 4 | 2003 | 44 | |
| 5 | 2003 | 42 | |
| 6 | THE MATECAT TOOL | 2014 | 37 |
| 7 | 2003 | 31 | |
| 8 | 2008 | 30 | |
| 9 | 2009 | 29 | |
| 10 | 2001 | 25 | |
| 11 | Translating with Scarce Resources | 2000 | 24 |
| 12 | 2014 | 18 | |
| 13 | Lessons from NRC's Portage System at WMT 2010 | 2010 | 16 |
| 14 | 2014 | 15 | |
| 15 | Aligned Hansards of the 36th Parliament of Canada | 2001 | 14 |
| 16 | 2003 | 12 | |
| 17 | The Feasibility of HMEANT as a Human MT Evaluation Metric | 2013 | 9 |
| 18 | 2014 | 9 | |
| 19 | 2018 | 7 | |
| 20 | 2016 | 7 |
About Ulrich Germann
Ulrich Germann is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications and Language and Linguistics, having authored 39 papers that have together received 698 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (33 papers), Topic Modeling (30 papers), Algorithms and Data Compression (8 papers), Semantic Web and Ontologies (7 papers), Text Readability and Simplification (4 papers), Multimodal Machine Learning Applications (3 papers), Translation Studies and Practices (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (660 citations), Computer Vision and Pattern Recognition (127 citations), Language and Linguistics (36 citations), Information Systems (52 citations) and Software (5 citations). Ulrich Germann has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Kevin Knight, Daniel Marcu, Kenji Yamada, Philipp Koehn, Barry Haddow, Alexandra Birch, Kenneth Heafield, Eric Joanis, Antonio Valerio Miceli Barone and Rico Sennrich. Their work appears in journals such as Machine Translation, Artificial Intelligence, ACM Transactions on Asian Language Information Processing, Baltic Journal of Modern Computing and The Prague Bulletin of Mathematical 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.