Raphaël Rubino

997 total citations
33 papers, 264 citations indexed

About

Raphaël Rubino is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Raphaël Rubino has authored 33 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Information Systems. Recurrent topics in Raphaël Rubino's work include Natural Language Processing Techniques (31 papers), Topic Modeling (30 papers) and Text Readability and Simplification (12 papers). Raphaël Rubino is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (30 papers) and Text Readability and Simplification (12 papers). Raphaël Rubino collaborates with scholars based in Ireland, Japan and United States. Raphaël Rubino's co-authors include F.R. Huebner, Jennifer Foster, K.W. Lieberman, J.S. Wall, Josef van Genabith, Johann Roturier, Atsushi Fujita, Eiichiro Sumita, Raj Dabre and Ekaterina Lapshinova‐Koltunski and has published in prestigious journals such as Peptides, Language Resources and Evaluation and Machine Translation.

In The Last Decade

Raphaël Rubino

29 papers receiving 233 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Raphaël Rubino Ireland	9	206	33	33	26	15	33	264
Junichi Fukumoto Japan	10	295 1.4×	14 0.4×	32 1.0×	72 2.8×	2 0.1×	54	349
Xiaochang Peng United States	10	291 1.4×	25 0.8×	42 1.3×	22 0.8×		15	312
Andréa Gesmundo Switzerland	7	159 0.8×	9 0.3×	39 1.2×	18 0.7×	2 0.1×	16	176
Teresa Herrmann Germany	11	293 1.4×	14 0.4×	24 0.7×	16 0.6×		23	301
Łukasz Olejnik Poland	7	140 0.7×	10 0.3×	5 0.2×	31 1.2×	5 0.3×	12	244
Kashif Shah United Kingdom	10	311 1.5×	14 0.4×	51 1.5×	36 1.4×		24	328
Jing-Shin Chang Taiwan	11	325 1.6×	41 1.2×	27 0.8×	39 1.5×	1 0.1×	27	350
Bevan Jones United Kingdom	7	294 1.4×	36 1.1×	39 1.2×	21 0.8×		11	319
Victoria Fossum United States	7	240 1.2×	22 0.7×	40 1.2×	7 0.3×		8	267
Erin Fitzgerald United States	5	307 1.5×	13 0.4×	20 0.6×	28 1.1×		7	311

Countries citing papers authored by Raphaël Rubino

Since Specialization

Citations

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

Fields of papers citing papers by Raphaël Rubino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Rubino

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Rubino. A scholar is included among the top collaborators of Raphaël Rubino 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 Raphaël Rubino. Raphaël Rubino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chu, Chenhui, et al.. (2022). Fusion of Self-supervised Learned Models for MOS Prediction. Interspeech 2022. 14 indexed citations

Rubino, Raphaël, et al.. (2020). Combination of Neural Machine Translation Systems at WMT20. Empirical Methods in Natural Language Processing. 230–238.

Rubino, Raphaël. (2020). NICT Kyoto Submission for the WMT’20 Quality Estimation Task: Intermediate Training for Domain and Task Adaptation. Empirical Methods in Natural Language Processing. 1042–1048. 5 indexed citations

Rubino, Raphaël, et al.. (2020). Extremely low-resource neural machine translation for Asian languages. Machine Translation. 34(4). 347–382. 15 indexed citations

Rubino, Raphaël & Eiichiro Sumita. (2020). Intermediate Self-supervised Learning for Machine Translation Quality Estimation. 4355–4360. 8 indexed citations

Rubino, Raphaël, et al.. (2020). Tagged Back-translation Revisited: Why Does It Really Work?. Journal of Natural Language Processing. 27(3). 689–694. 2 indexed citations

Rubino, Raphaël, et al.. (2020). Tagged Back-translation Revisited: Why Does It Really Work?. 5990–5997. 22 indexed citations

Rubino, Raphaël, et al.. (2018). DFKI-MLT System Description for the WMT18 Automatic Post-editing Task. 836–839. 3 indexed citations

Uszkoreit, Hans, Leonhard Hennig, Stephan Busemann, et al.. (2017). Common Round: Application of Language Technologies to Large-Scale Web Debates. 5–8.

10.

Shi, Wei, et al.. (2017). Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification. Universität des Saarlandes. 1. 484–495. 7 indexed citations

11.

Rubino, Raphaël, et al.. (2016). Modeling Diachronic Change in Scientific Writing with Information Density. International Conference on Computational Linguistics. 750–761. 3 indexed citations

12.

Foster, Jennifer, et al.. (2014). Quality Estimation of English-French Machine Translation: A Detailed Study of the Role of Syntax. International Conference on Computational Linguistics. 2052–2063. 5 indexed citations

13.

Rubino, Raphaël, et al.. (2013). Estimating the Quality of Translated User-Generated Content. Arrow@dit (Dublin Institute of Technology). 1167–1173. 6 indexed citations

14.

Rubino, Raphaël, et al.. (2013). The CNGL-DCU-Prompsit Translation Systems for WMT13. Workshop on Statistical Machine Translation. 213–218. 8 indexed citations

15.

Rubino, Raphaël, et al.. (2013). DCU-Symantec at the WMT 2013 Quality Estimation Shared Task. Arrow@dit (Dublin Institute of Technology). 392–397. 6 indexed citations

16.

Foster, Jennifer, et al.. (2013). Parser Accuracy in Quality Estimation of Machine Translation: A Tree Kernel Approach. International Joint Conference on Natural Language Processing. 1092–1096. 3 indexed citations

17.

Okita, Tsuyoshi, Raphaël Rubino, & Josef van Genabith. (2012). Sentence-Level Quality Estimation for MT System Combination. International Conference on Computational Linguistics. 19(2). 55–64. 6 indexed citations

18.

Rubino, Raphaël, et al.. (2012). DCU-Symantec Submission for the WMT 2012 Quality Estimation Task. Arrow@dit (Dublin Institute of Technology). 138–144. 15 indexed citations

19.

Rubino, Raphaël, Stéphane Huet, Fabrice Lefèvre, & Georges Linarès. (2012). Statistical Post-Editing of Machine Translation for Domain Adaptation. INRIA a CCSD electronic archive server. 221–228. 6 indexed citations

20.

Benhar, Omar & Raphaël Rubino. (2005). Stability of the mixed phase in hybrid stars. Springer Link (Chiba Institute of Technology). 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.

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