Jan-Thorsten Peter
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Finance top 10%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
Papers in
-
- Topic Modeling 19
- Natural Language Processing Techniques 18
- Text Readability and Simplification 4
- Algorithms and Data Compression 2
- Semantic Web and Ontologies 1
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- Multimodal Machine Learning Applications 3
- Handwritten Text Recognition Techniques 2
- Co-authors
- Hermann Ney (16 shared papers)Christian Kahl (1 shared paper)Weiyue Wang (2 shared papers)Tamer Alkhouli (5 shared papers)Joern Wuebker (4 shared papers)Vivien Macketanz (1 shared paper)Stephan Peitz (4 shared papers)Georg Heigold (1 shared paper)
- Journals
- SHILAP Revista de lepidopterología (3 papers)RWTH Publications (RWTH Aachen) (4 papers)The Prague Bulletin of Mathematical Linguistics (1 paper)Edinburgh Research Explorer (1 paper)RWTH Publications (RWTH Aachen) (1 paper)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Jan-Thorsten Peter
17 papers receiving 280 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 243
- Finance 71
- Computer Vision and Pattern Recognition 59
- Demography 22
- Language and Linguistics 11
Countries citing papers authored by Jan-Thorsten Peter
This map shows the geographic impact of Jan-Thorsten Peter'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-Thorsten Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan-Thorsten Peter more than expected).
Fields of papers citing papers by Jan-Thorsten Peter
This network shows the impact of papers produced by Jan-Thorsten Peter. 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-Thorsten Peter. The network helps show where Jan-Thorsten Peter may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan-Thorsten Peter, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | Not-so-complex logarithms in the Heston model | 2006 | 74 |
| 3 | 2017 | 36 | |
| 4 | Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation | 2012 | 33 |
| 5 | 2016 | 21 | |
| 6 | 2017 | 12 | |
| 7 | 2017 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2018 | 9 | |
| 10 | Advancements in Reordering Models for Statistical Machine Translation | 2013 | 8 |
| 11 | 2012 | 7 | |
| 12 | 2015 | 4 | |
| 13 | The RWTH Aachen German to English MT System for IWSLT 2015 | 2015 | 3 |
| 14 | 2017 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2017 | 2 | |
| 17 | Soft String-to-Dependency Hierarchical Machine Translation. | 2011 | 1 |
| 18 | Sequence labeling-based reordering model for phrase-based SMT. | 2012 | 0 |
| 19 | 2023 | 0 | |
| 20 | Jane: User's Manual | 2013 | 0 |
About Jan-Thorsten Peter
Jan-Thorsten Peter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Molecular Biology, having authored 21 papers that have together received 321 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers), Text Readability and Simplification (4 papers), Multimodal Machine Learning Applications (3 papers), Handwritten Text Recognition Techniques (2 papers), Algorithms and Data Compression (2 papers), Semantic Web and Ontologies (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (243 citations), Finance (71 citations), Computer Vision and Pattern Recognition (59 citations), Demography (22 citations) and Language and Linguistics (11 citations). Jan-Thorsten Peter has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Hermann Ney, Christian Kahl, Weiyue Wang, Tamer Alkhouli, Joern Wuebker, Vivien Macketanz, Stephan Peitz, Georg Heigold, Philip Williams and Markus Freitag. Their work appears in journals such as SHILAP Revista de lepidopterología, RWTH Publications (RWTH Aachen), The Prague Bulletin of Mathematical Linguistics, Edinburgh Research Explorer 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.