Evgeny Matusov

44 papers receiving 751 citations

Peers

Evgeny Matusov
Comparison fields: 5 of 26
  • Artificial Intelligence 909
  • Computer Vision and Pattern Recognition 98
  • Molecular Biology 45
  • Language and Linguistics 38
  • Information Systems 34
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Countries citing papers authored by Evgeny Matusov

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Matusov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Matusov

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Matusov. A scholar is included among the top collaborators of Evgeny Matusov 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 Evgeny Matusov. Evgeny Matusov 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
Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs.
1
2 7
3
Omnifluent English-to-French and Russian-to-English Systems for the 2013 Workshop on Statistical Machine Translation
2
4
Selective Combination of Pivot and Direct Statistical Machine Translation Models
7
5
Apptek's APT machine translation system for IWSLT 2010.
2
6
Improving Reordering in Statistical Machine Translation from Farsi.
5
7
Are Unaligned Words Important for Machine Translation
4
8
The RWTH machine translation system for IWSLT 2008.
3
9 36
10
Training a Statistical Machine Translation System without GIZA
3
11
Automatic sentence segmentation and punctuation prediction for spoken language translation.
59
12
The RWTH Statistical Machine Translation System for the IWSLT 2006 Evaluation
38
13
Computing Consensus Translation for Multiple Machine Translation Systems Using Enhanced Hypothesis Alignment
127
14
The RWTH Phrase-based Statistical Machine Translation System
38
15
Evaluating machine translation output with automatic sentence segmentation.
54
16 53
17 61
18
Alignment templates: the RWTH SMT system.
28
19
Statistical machine translation of spontaneous speech with scarce resources.
4
20 3

About Evgeny Matusov

Evgeny Matusov is a scholar working on Artificial Intelligence, Language and Linguistics and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 933 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (43 papers), Topic Modeling (41 papers) and Speech Recognition and Synthesis (8 papers). The work is most often cited by research in Artificial Intelligence (909 citations), Computer Vision and Pattern Recognition (98 citations) and Language and Linguistics (38 citations). Evgeny Matusov has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Hermann Ney, Richard Zens, Nicola Ueffing, Stephan Kanthak, Arne Mauser, Gregor Leusch, Oliver Bender, David Vilar, Saša Hasan and Patrick Wilken. Their work appears in journals such as IEEE Signal Processing Magazine, IEEE Transactions on Audio Speech and Language Processing and Language Resources and Evaluation.

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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