Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Moses
20073.2k citationsPhilipp Koehn, Richard Zens et al.profile →
This map shows the geographic impact of Richard Zens'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 Richard Zens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Zens more than expected).
This network shows the impact of papers produced by Richard Zens. 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 Richard Zens. The network helps show where Richard Zens may publish in the future.
Co-authorship network of co-authors of Richard Zens
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Zens.
A scholar is included among the top collaborators of Richard Zens 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 Richard Zens. Richard Zens 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.
Wuebker, Joern, Hermann Ney, & Richard Zens. (2012). Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation. RWTH Publications (RWTH Aachen). 28–32.3 indexed citations
2.
Zens, Richard, Daisy Stanton, & Peng Xu. (2012). A Systematic Comparison of Phrase Table Pruning Techniques. Empirical Methods in Natural Language Processing. 972–983.29 indexed citations
3.
Zens, Richard & Hermann Ney. (2008). Improvements in Dynamic Programming Beam Search for Phrase-based Statistical Machine Translation. RWTH Publications (RWTH Aachen). 198–205.34 indexed citations
Zens, Richard & Hermann Ney. (2007). Efficient Phrase-Table Representation for Machine Translation with Applications to Online MT and Speech Translation. RWTH Publications (RWTH Aachen). 492–499.29 indexed citations
6.
Zens, Richard, et al.. (2007). Improved chunk-level reordering for statistical machine translation.. IWSLT. 21–28.24 indexed citations
7.
Zens, Richard, Saša Hasan, & Hermann Ney. (2007). A Systematic Comparison of Training Criteria for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 524–532.25 indexed citations
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
Xu, Jia, et al.. (2005). Integrated Chinese Word Segmentation in Statistical Machine Translation. RWTH Publications (RWTH Aachen). 131–137.25 indexed citations
15.
Zens, Richard, Oliver Bender, Saša Hasan, et al.. (2005). The RWTH Phrase-based Statistical Machine Translation System. RWTH Publications (RWTH Aachen). 145–152.38 indexed citations
Zens, Richard, et al.. (2004). Do We Need Chinese Word Segmentation for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 122–128.31 indexed citations
18.
Bender, Oliver, Richard Zens, Evgeny Matusov, & Hermann Ney. (2004). Alignment templates: the RWTH SMT system.. RWTH Publications (RWTH Aachen). 79–84.28 indexed citations
Matusov, Evgeny, Maja Popović, Richard Zens, & Hermann Ney. (2004). Statistical machine translation of spontaneous speech with scarce resources.. RWTH Publications (RWTH Aachen). 139–146.4 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.