This map shows the geographic impact of Arne Mauser'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 Arne Mauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arne Mauser more than expected).
This network shows the impact of papers produced by Arne Mauser. 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 Arne Mauser. The network helps show where Arne Mauser may publish in the future.
Co-authorship network of co-authors of Arne Mauser
This figure shows the co-authorship network connecting the top 25 collaborators of Arne Mauser.
A scholar is included among the top collaborators of Arne Mauser 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 Arne Mauser. Arne Mauser is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
17 of 17 papers shown
1.
Peitz, Stephan, Arne Mauser, Joern Wuebker, & Hermann Ney. (2012). Forced Derivations for Hierarchical Machine Translation. RWTH Publications (RWTH Aachen). 933–942.3 indexed citations
2.
Mauser, Arne, et al.. (2012). Deciphering Foreign Language by Combining Language Models and Context Vectors. RWTH Publications (RWTH Aachen). 1. 156–164.31 indexed citations
3.
Peitz, Stephan, Markus Freitag, Arne Mauser, & Hermann Ney. (2011). Modeling punctuation prediction as machine translation.. RWTH Publications (RWTH Aachen). 238–245.45 indexed citations
4.
Feng, Minwei, Arne Mauser, & Hermann Ney. (2010). A Source-side Decoding Sequence Model for Statistical Machine Translation. RWTH Publications (RWTH Aachen).12 indexed citations
5.
Wuebker, Joern, Arne Mauser, & Hermann Ney. (2010). Training Phrase Translation Models with Leaving-One-Out. RWTH Publications (RWTH Aachen). 475–484.62 indexed citations
6.
Doetsch, Patrick, et al.. (2009). Logistic Model Trees with AUC split criterion for the KDD cup 2009 small challenge. RWTH Publications (RWTH Aachen). 77–88.24 indexed citations
Vilar, David, D. L. Stein, Evgeny Matusov, et al.. (2008). The RWTH machine translation system for IWSLT 2008.. IWSLT. 108–115.3 indexed citations
9.
Mauser, Arne, Saša Hasan, & Hermann Ney. (2008). Automatic Evaluation Measures for Statistical Machine Translation System Optimization. Language Resources and Evaluation.14 indexed citations
10.
Mauser, Arne, et al.. (2007). The RWTH machine translation system for IWSLT 2007.. RWTH Publications (RWTH Aachen). 161–168.6 indexed citations
11.
Mauser, Arne, Evgeny Matusov, & Hermann Ney. (2006). Training a Statistical Machine Translation System without GIZA. Language Resources and Evaluation. 715–720.3 indexed citations
12.
Matusov, Evgeny, Arne Mauser, & Hermann Ney. (2006). Automatic sentence segmentation and punctuation prediction for spoken language translation.. RWTH Publications (RWTH Aachen). 158–165.59 indexed citations
13.
Mauser, Arne, Richard Zens, Evgeny Matusov, Saša Hasan, & Hermann Ney. (2006). The RWTH Statistical Machine Translation System for the IWSLT 2006 Evaluation. RWTH Publications (RWTH Aachen). 103–110.38 indexed citations
14.
Matusov, Evgeny, et al.. (2006). The RWTH Machine Translation System. RWTH Publications (RWTH Aachen).19 indexed citations
15.
Simard, Michel, Nicola Cancedda, Marc Dymetman, et al.. (2005). Une approche à la traduction automatique statistique par segments discontinus.. 231–240.1 indexed citations
Mauser, Arne, Ilja Bezrukov, Thomas Deselaers, & Daniel Keysers. (2004). Predicting Customer Behavior using Naive Bayes and Maximum Entropy - Winning the Data-Mining-Cup 2004 -. RWTH Publications (RWTH Aachen).3 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.