Raphaël Rubino

22 papers and 163 indexed citations i.

About

Raphaël Rubino is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Raphaël Rubino has authored 22 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Raphaël Rubino’s work include Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Text Readability and Simplification (8 papers). Raphaël Rubino is often cited by papers focused on Natural Language Processing Techniques (20 papers), Topic Modeling (19 papers) and Text Readability and Simplification (8 papers). Raphaël Rubino collaborates with scholars based in Ireland, Japan and Germany. Raphaël Rubino's co-authors include Benjamin Marie, J.S. Wall, K.W. Lieberman, F.R. Huebner, Atsushi Fujita, Jennifer Foster, Eiichiro Sumita, Josef van Genabith, Omar Benhar and Johann Roturier and has published in prestigious journals such as Astronomy and Astrophysics, Peptides and Language Resources and Evaluation.

In The Last Decade

Co-authorship network of co-authors of Raphaël Rubino i

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.

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).

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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