This map shows the geographic impact of Marc Dymetman'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 Marc Dymetman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Dymetman more than expected).
This network shows the impact of papers produced by Marc Dymetman. 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 Marc Dymetman. The network helps show where Marc Dymetman may publish in the future.
Co-authorship network of co-authors of Marc Dymetman
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Dymetman.
A scholar is included among the top collaborators of Marc Dymetman 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 Marc Dymetman. Marc Dymetman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Elsahar, Hady, et al.. (2021). A Distributional Approach to Controlled Text Generation. International Conference on Learning Representations.1 indexed citations
3.
Goyal, Raghav, Marc Dymetman, & Éric Gaussier. (2016). Natural Language Generation through Character-based RNNs with Finite-state Prior Knowledge. International Conference on Computational Linguistics. 1083–1092.7 indexed citations
4.
Aziz, Wilker, et al.. (2013). Investigations in Exact Inference for Hierarchical Translation. Workshop on Statistical Machine Translation. 472–483.5 indexed citations
5.
Mirkin, Shachar, et al.. (2013). SORT: An Interactive Source-Rewriting Tool for Improved Translation. 85–90.6 indexed citations
6.
Cancedda, Nicola, et al.. (2012). Prediction of Learning Curves in Machine Translation. Meeting of the Association for Computational Linguistics. 22–30.21 indexed citations
7.
Sándor, Attila D., et al.. (2012). Hybrid Adaptation of Named Entity Recognition for Statistical Machine Translation. International Conference on Computational Linguistics. 1–16.4 indexed citations
8.
Carter, Simon, Marc Dymetman, & Guillaume Bouchard. (2012). Exact Sampling and Decoding in High-Order Hidden Markov Models. UvA-DARE (University of Amsterdam). 1125–1134.6 indexed citations
9.
Dymetman, Marc & Nicola Cancedda. (2010). Intersecting Hierarchical and Phrase-Based Models of Translation: Formal Aspects and Algorithms. International Conference on Computational Linguistics. 1–9.2 indexed citations
10.
Specia, Lucia, Nicola Cancedda, & Marc Dymetman. (2010). A Dataset for Assessing Machine Translation Evaluation Metrics. Language Resources and Evaluation.22 indexed citations
11.
Roth, Benjamin, Andrew McCallum, Marc Dymetman, & Nicola Cancedda. (2009). Machine Translation Using Overlapping Alignments and SampleRank. Conference of the Association for Machine Translation in the Americas.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.