Rémi Gilleron

1.2k total citations
15 papers, 356 citations indexed

About

Rémi Gilleron is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Rémi Gilleron has authored 15 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 4 papers in Information Systems. Recurrent topics in Rémi Gilleron's work include Machine Learning and Algorithms (5 papers), semigroups and automata theory (4 papers) and Logic, programming, and type systems (4 papers). Rémi Gilleron is often cited by papers focused on Machine Learning and Algorithms (5 papers), semigroups and automata theory (4 papers) and Logic, programming, and type systems (4 papers). Rémi Gilleron collaborates with scholars based in France, Austria and India. Rémi Gilleron's co-authors include François Denis, Marc Tommasi, Lingbo Kong, Sándor Vágvölgyi, Sophie Tison, Max Dauchet, Joachim Niehren, Aurélien Lemay, Pierre Senellart and Boris Chidlovskii and has published in prestigious journals such as Machine Learning, Journal of Machine Learning Research and Theoretical Computer Science.

In The Last Decade

Rémi Gilleron

14 papers receiving 327 citations

Peers

Rémi Gilleron
Comparison fields: 5 of 53
  • Artificial Intelligence 272
  • Information Systems 86
  • Computational Theory and Mathematics 75
  • Computer Networks and Communications 68
  • Signal Processing 48
Replace Troels Andreasen with:
Troels Andreasen Denmark
Bruno Crémilleux France
Tomi Janhunen Finland
Boulos Harb United States
Roland Wolf Germany
Vincent Cremet
Vassilis Tzouvaras Greece
Jung-Yi Jiang Taiwan
Daniel Bryce United States
Stephen Kwek United States
Troels Andreasen Denmark View profile →
Citations per field, relative to Rémi Gilleron
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Citations per year, relative to Rémi Gilleron
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Countries citing papers authored by Rémi Gilleron

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Gilleron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rémi Gilleron

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

All Works

15 of 15 papers shown
# Work Indexed citations
1
Query induction with schema-guided pruning strategies
0
2 9
3 9
4 33
5 25
6
Conditional Random Fields for XML Trees
5
7 1
8 13
9 141
10 60
11 11
12 1
13 16
14 23
15
For a rewrite system it is decidable whether the set of irreducible, ground terms is regognizable.
9

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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2026