Stephan Peitz

551 total citations
28 papers, 347 citations indexed

About

Stephan Peitz is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases. According to data from OpenAlex, Stephan Peitz has authored 28 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 1 paper in Information Systems and 0 papers in Infectious Diseases. Recurrent topics in Stephan Peitz's work include Natural Language Processing Techniques (28 papers), Topic Modeling (26 papers) and Speech and dialogue systems (9 papers). Stephan Peitz is often cited by papers focused on Natural Language Processing Techniques (28 papers), Topic Modeling (26 papers) and Speech and dialogue systems (9 papers). Stephan Peitz collaborates with scholars based in Germany, France and Netherlands. Stephan Peitz's co-authors include Hermann Ney, Markus Freitag, Joern Wuebker, Matthias Paulik, Matthias Huck, Arne Mauser, Jan-Thorsten Peter, Saab Mansour, David Vilar and Dan J. Stein and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), RWTH Publications (RWTH Aachen) and IWSLT.

In The Last Decade

Stephan Peitz

24 papers receiving 290 citations

Peers

Stephan Peitz
Comparison fields: 5 of 22
  • Artificial Intelligence 342
  • Computer Vision and Pattern Recognition 67
  • Molecular Biology 12
  • Information Systems 11
  • Signal Processing 10
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Citations per field, relative to Stephan Peitz
Stephan Peitz · 1×
Citations per year, relative to Stephan Peitz
Stephan Peitz · 1×

Countries citing papers authored by Stephan Peitz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Stephan Peitz

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Peitz. A scholar is included among the top collaborators of Stephan Peitz 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 Stephan Peitz. Stephan Peitz 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
# Work Indexed citations
1 72
2 4
3
Better punctuation prediction with hierarchical phrase-based translation.
2
4 0
5 6
6 13
7 7
8 32
9
Joint WMT 2013 Submission of the QUAERO Project
3
10
Jane: User's Manual
0
11
Forced Derivations for Hierarchical Machine Translation
3
12
Spoken Language Translation Using Automatically Transcribed Text in Training
13
13
The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012
2
14
Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation
33
15
The RWTH Aachen System for NTCIR-10 PatentMT
3
16
Modeling punctuation prediction as machine translation.
45
17 0
18
The RWTH Aachen Machine Translation System for WMT 2010
19
19
If i only had a parser: poor man's syntax for hierarchical machine translation.
6
20
A Cocktail of Deep Syntactic Features for Hierarchical Machine Translation.
12

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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