Rémi Eyraud

2.0k citations
43 papers · 1.3k · h-index 20

Impact in

Papers in

Rémi Eyraud

41 papers receiving 1.3k citations

Peers

Rémi Eyraud
Comparison fields: 5 of 86
  • Pulmonary and Respiratory Medicine 724
  • Obstetrics and Gynecology 62
  • Artificial Intelligence 319
  • Computational Theory and Mathematics 124
  • Language and Linguistics 62
Replace Shan Chen with:
Shan Chen China
Jason W. Chan United States
Carlotta Masciocchi Italy
Peter B. Snow United States
Stefan Krüger Germany
Robert Schuler United States
Pooya Mobadersany United States
Georgios C. Manikis Greece
Cathal McCague United Kingdom
Cláudia Freitas Portugal
Rémi Eyraud relative to Shan Chen China Shan Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rémi Eyraud

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Eyraud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rémi Eyraud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rémi Eyraud Line = papers co-authored together Rémi Eyraud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012218
2 2012185
3 2012106
4 2008106
5 201380
6
Polynomial Identification in the Limit of Substitutable Context-free Languages
200761
7 201459
8 201353
9 200643
10 201342
11 201237
12 201335
13 201335
14
Proceedings of The 16th International Conference on Algorithmic Learning Theory
200531
15 201226
16 201423
17
Proceedings of CoNLL
200622
18 201322
19 201721
20 201220

About Rémi Eyraud

Rémi Eyraud is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Computational Theory and Mathematics, Surgery and Genetics, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (12 papers), Renal cell carcinoma treatment (9 papers), Algorithms and Data Compression (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), semigroups and automata theory (7 papers), Natural Language Processing Techniques (5 papers), Minimally Invasive Surgical Techniques (2 papers) and Ureteral procedures and complications (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (724 citations), Obstetrics and Gynecology (62 citations), Artificial Intelligence (319 citations), Computational Theory and Mathematics (124 citations) and Language and Linguistics (62 citations). Rémi Eyraud has collaborated with scholars based in France, United States and Guadeloupe. Frequent co-authors include Jihad Kaouk, Robert J. Stein, Riccardo Autorino, Alexander Clark, Humberto Laydner, Georges‐Pascal Haber, Ali Khalifeh, Jean‐Alexandre Long, Kamol Panumatrassamee and Amaury Habrard. Their work appears in journals such as Urology, The Journal of Urology, European Urology, British Journal of Urology and Machine Learning.

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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