Jan Niehues
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Molecular Biology
- Co-authors
- Alex WaibelEunah ChoMarcello FedericoMauro CettoloLuisa BentivogliTeresa HerrmannMatthias SperberSebastian Stüker
- Topics
- Natural Language Processing Techniques (92 papers)Topic Modeling (82 papers)Speech Recognition and Synthesis (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaSpeech CommunicationMultimedia Tools and Applications
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jan Niehues
98 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 283
- Signal Processing 76
- Experimental and Cognitive Psychology 43
- Molecular Biology 39
Countries citing papers authored by Jan Niehues
This map shows the geographic impact of Jan Niehues'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 Jan Niehues with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Niehues more than expected).
Fields of papers citing papers by Jan Niehues
This network shows the impact of papers produced by Jan Niehues. 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 Jan Niehues. The network helps show where Jan Niehues may publish in the future.
Co-authorship network of co-authors of Jan Niehues
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Niehues. A scholar is included among the top collaborators of Jan Niehues 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 Jan Niehues. Jan Niehues 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 | 0 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 47 | |
| 15 | 12 | |
| 16 | Pre-Translation for Neural Machine Translation. | 30 |
| 17 | 3 | |
| 18 | Joint WMT 2013 Submission of the QUAERO Project | 3 |
| 19 | 12 | |
| 20 | 23 |
About Jan Niehues
Jan Niehues is a scholar working on Artificial Intelligence, Health Informatics and Computer Vision and Pattern Recognition, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (92 papers), Topic Modeling (82 papers) and Speech Recognition and Synthesis (32 papers). The work is most often cited by research in Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (283 citations) and Signal Processing (76 citations). Jan Niehues has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Alex Waibel, Eunah Cho, Marcello Federico, Mauro Cettolo, Luisa Bentivogli, Teresa Herrmann, Matthias Sperber, Sebastian Stüker, Muntsin Kolss and Stephan Vogel. Their work appears in journals such as SHILAP Revista de lepidopterología, Speech Communication and Multimedia Tools and Applications.
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.