Joern Wuebker

784 citations
31 papers · 455 indexed · h-index 11
Topics
Natural Language Processing Techniques (31 papers)Topic Modeling (30 papers)Speech and dialogue systems (8 papers)
Journals
Edinburgh Research Explorer (University of Edinburgh)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language TechnologiesRWTH Publications (RWTH Aachen)

In The Last Decade

Joern Wuebker

28 papers receiving 391 citations

Peers

Joern Wuebker
Comparison fields: 5 of 43
  • Artificial Intelligence 415
  • Computer Vision and Pattern Recognition 87
  • Molecular Biology 42
  • Information Systems 12
  • Language and Linguistics 7
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Citations per field
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Citations per year

Countries citing papers authored by Joern Wuebker

Since Specialization
Citations

This map shows the geographic impact of Joern Wuebker'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 Joern Wuebker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joern Wuebker more than expected).

Fields of papers citing papers by Joern Wuebker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joern Wuebker. 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 Joern Wuebker. The network helps show where Joern Wuebker may publish in the future.

Co-authorship network of co-authors of Joern Wuebker

This figure shows the co-authorship network connecting the top 25 collaborators of Joern Wuebker. A scholar is included among the top collaborators of Joern Wuebker 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 Joern Wuebker. Joern Wuebker 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
#WorkIndexed citations
1 4
2 1
3 118
4 6
5 32
6
Length-Incremental Phrase Training for SMT
0
7
A Phrase Orientation Model for Hierarchical Machine Translation
14
8
Jane: User's Manual
0
9
Forced Derivations for Hierarchical Machine Translation
3
10
Leave-One-Out Phrase Model Training for Large-Scale Deployment
5
11
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
3
12
The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012
2
13
Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation
33
14
Phrase Model Training for Statistical Machine Translation with Word Lattices of Preprocessing Alternatives
4
15
The RWTH Aachen System for NTCIR-10 PatentMT
3
16
Combining Translation and Language Model Scoring for Domain-Specific Data Filtering
25
17 0
18
The RWTH Aachen Machine Translation System for WMT 2010
19
19
A combination of hierarchical systems with forced alignments from phrase-based systems.
3
20
Training Phrase Translation Models with Leaving-One-Out
62

About Joern Wuebker

Joern Wuebker is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 31 papers that have together received 455 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (30 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (415 citations), Computer Vision and Pattern Recognition (87 citations) and Human-Computer Interaction (4 citations). Joern Wuebker has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hermann Ney, Tamer Alkhouli, Martin Sundermeyer, Stephan Peitz, Arne Mauser, Saab Mansour, Matthias Huck, Markus Freitag, John DeNero and Spence Green. Their work appears in journals such as Edinburgh Research Explorer (University of Edinburgh), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 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.

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