This map shows the geographic impact of Saab Mansour'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 Saab Mansour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saab Mansour more than expected).
This network shows the impact of papers produced by Saab Mansour. 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 Saab Mansour. The network helps show where Saab Mansour may publish in the future.
Co-authorship network of co-authors of Saab Mansour
This figure shows the co-authorship network connecting the top 25 collaborators of Saab Mansour.
A scholar is included among the top collaborators of Saab Mansour 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 Saab Mansour. Saab Mansour is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mansour, Saab, et al.. (2014). Automatic dialect classification for statistical machine translation. Conference of the Association for Machine Translation in the Americas. 342–355.1 indexed citations
11.
Mansour, Saab & Hermann Ney. (2013). Phrase Training Based Adaptation for Statistical Machine Translation. RWTH Publications (RWTH Aachen). 649–654.5 indexed citations
12.
Peitz, Stephan, Saab Mansour, Matthias Huck, et al.. (2013). Joint WMT 2013 Submission of the QUAERO Project. RWTH Publications (RWTH Aachen). 185–192.3 indexed citations
13.
Peitz, Stephan, Saab Mansour, Markus Freitag, et al.. (2012). The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012. RWTH Publications (RWTH Aachen). 69–76.2 indexed citations
14.
Mansour, Saab & Hermann Ney. (2012). A Simple and Effective Weighted Phrase Extraction for Machine Translation Adaptation. RWTH Publications (RWTH Aachen). 193–200.10 indexed citations
15.
Wuebker, Joern, Matthias Huck, Stephan Peitz, et al.. (2012). Jane 2: Open Source Phrase-based and Hierarchical Statistical Machine Translation. RWTH Publications (RWTH Aachen). 483–492.33 indexed citations
16.
Mansour, Saab, Joern Wuebker, & Hermann Ney. (2011). Combining Translation and Language Model Scoring for Domain-Specific Data Filtering. RWTH Publications (RWTH Aachen). 222–229.25 indexed citations
17.
Huck, Matthias, Saab Mansour, Simon Wiesler, & Hermann Ney. (2011). Lexicon models for hierarchical phrase-based machine translation.. RWTH Publications (RWTH Aachen). 191–198.6 indexed citations
18.
Huck, Matthias, Joern Wuebker, Christoph Schmidt, et al.. (2010). The RWTH Aachen Machine Translation System for WMT 2010. RWTH Publications (RWTH Aachen). 193–199.19 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
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.