Jan-Thorsten Peter

580 total citations
21 papers, 321 citations indexed

About

Jan-Thorsten Peter is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jan-Thorsten Peter has authored 21 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Jan-Thorsten Peter's work include Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (4 papers). Jan-Thorsten Peter is often cited by papers focused on Topic Modeling (19 papers), Natural Language Processing Techniques (18 papers) and Text Readability and Simplification (4 papers). Jan-Thorsten Peter collaborates with scholars based in Germany, United Kingdom and Netherlands. Jan-Thorsten Peter's co-authors include Hermann Ney, Christian Kahl, Weiyue Wang, Tamer Alkhouli, Joern Wuebker, Stephan Peitz, Markus Freitag, Matthias Huck, Philip Williams and Vivien Macketanz and has published in prestigious journals such as SHILAP Revista de lepidopterología, Edinburgh Research Explorer and RWTH Publications (RWTH Aachen).

In The Last Decade

Jan-Thorsten Peter

17 papers receiving 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan-Thorsten Peter Germany 9 243 71 59 22 17 21 321
Ben Boukai United States 9 63 0.3× 13 0.2× 16 0.3× 6 0.3× 11 0.6× 28 319
Yunan Ye China 4 88 0.4× 39 0.5× 79 1.3× 2 0.1× 19 1.1× 7 182
Klaus J. Utikal United States 6 76 0.3× 19 0.3× 10 0.2× 10 0.5× 23 1.4× 11 235
Luisa Turrin Fernholz United States 10 57 0.2× 39 0.5× 9 0.2× 6 0.3× 20 1.2× 18 312
Chang-Han Rhee United States 5 60 0.2× 54 0.8× 5 0.1× 11 0.5× 5 0.3× 12 205
Manuel Franco Spain 11 55 0.2× 47 0.7× 5 0.1× 4 0.2× 2 0.1× 34 333
Yumo Xu United Kingdom 5 153 0.6× 78 1.1× 16 0.3× 75 4.4× 11 309
Cordula Gdaniec United Kingdom 3 277 1.1× 3 0.0× 13 0.2× 3 0.1× 6 0.4× 5 314
Annegret Weng Germany 7 84 0.3× 11 0.2× 7 0.1× 6 0.3× 10 0.6× 15 136
Yanyan Zou China 7 174 0.7× 9 0.1× 24 0.4× 7 0.4× 13 202

Countries citing papers authored by Jan-Thorsten Peter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jan-Thorsten Peter

This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Thorsten Peter. A scholar is included among the top collaborators of Jan-Thorsten Peter 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-Thorsten Peter. Jan-Thorsten Peter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Peter, Jan-Thorsten, et al.. (2023). There’s No Data like Better Data: Using QE Metrics for MT Data Filtering. 561–577.
2.
Peter, Jan-Thorsten, et al.. (2018). Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition. 84–89. 9 indexed citations
3.
Alkhouli, Tamer, et al.. (2017). Empirical Investigation of Optimization Algorithms in Neural Machine Translation. SHILAP Revista de lepidopterología. 108(1). 13–25. 11 indexed citations
4.
Peter, Jan-Thorsten, Hermann Ney, Ondřej Bojar, et al.. (2017). The QT21 Combined Machine Translation System for English to Latvian. Edinburgh Research Explorer. 348–357. 2 indexed citations
5.
Burchardt, Aljoscha, et al.. (2017). A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. SHILAP Revista de lepidopterología. 108(1). 159–170. 36 indexed citations
6.
Peter, Jan-Thorsten, et al.. (2017). The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017. 358–365. 3 indexed citations
7.
Peter, Jan-Thorsten, Weiyue Wang, & Hermann Ney. (2016). Exponentially Decaying Bag-of-Words Input Features for Feed-Forward Neural Network in Statistical Machine Translation. 293–298. 2 indexed citations
8.
Alkhouli, Tamer, et al.. (2016). Alignment-Based Neural Machine Translation. 54–65. 21 indexed citations
9.
10.
Wang, Weiyue, et al.. (2016). CharacTer: Translation Edit Rate on Character Level. 505–510. 84 indexed citations
11.
12.
Peter, Jan-Thorsten, et al.. (2015). The RWTH Aachen German to English MT System for IWSLT 2015. RWTH Publications (RWTH Aachen). 3 indexed citations
13.
Peter, Jan-Thorsten, et al.. (2015). The RWTH Aachen German-English Machine Translation System for WMT 2015. 158–163. 4 indexed citations
14.
Feng, Minwei, Jan-Thorsten Peter, & Hermann Ney. (2013). Advancements in Reordering Models for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 1. 322–332. 8 indexed citations
15.
Vilar, David, D. L. Stein, Matthias Huck, et al.. (2013). Jane: User's Manual.
16.
Feng, Minwei, Jan-Thorsten Peter, & Hermann Ney. (2012). Sequence labeling-based reordering model for phrase-based SMT.. RWTH Publications (RWTH Aachen). 260–267.
17.
Wuebker, Joern, Matthias Huck, Stephan Peitz, et al.. (2012). Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation. RWTH Publications (RWTH Aachen). 483–492. 33 indexed citations
18.
Huck, Matthias, Jan-Thorsten Peter, Markus Freitag, Stephan Peitz, & Hermann Ney. (2012). Hierarchical Phrase-Based Translation with Jane 2. ˜The œPrague Bulletin of Mathematical Linguistics. 98(1). 37–50. 7 indexed citations
19.
Peter, Jan-Thorsten. (2011). Soft String-to-Dependency Hierarchical Machine Translation.. RWTH Publications (RWTH Aachen). 246–253. 1 indexed citations
20.
Kahl, Christian & Jan-Thorsten Peter. (2006). Not-so-complex logarithms in the Heston model. 74 indexed citations

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.

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