Peggy Cellier

462 total citations
18 papers, 82 citations indexed

About

Peggy Cellier is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Peggy Cellier has authored 18 papers receiving a total of 82 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computational Theory and Mathematics. Recurrent topics in Peggy Cellier's work include Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Semantic Web and Ontologies (6 papers). Peggy Cellier is often cited by papers focused on Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers) and Semantic Web and Ontologies (6 papers). Peggy Cellier collaborates with scholars based in France, Germany and Netherlands. Peggy Cellier's co-authors include Sébastien Ferré, Mireille Ducassé, Kurt Driessens, Thierry Charnois, Olivier Ridoux, René Quiniou, Alexandre Termier, Bruno Crémilleux, Karell Bertet and Felix Distel and has published in prestigious journals such as Lecture notes in computer science, International Journal of Approximate Reasoning and Discrete Applied Mathematics.

In The Last Decade

Peggy Cellier

15 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peggy Cellier France 6 41 30 30 11 8 18 82
Pavel Klinov United Kingdom 6 64 1.6× 22 0.7× 10 0.3× 14 1.3× 14 1.8× 20 71
Thierry Charnois France 8 97 2.4× 42 1.4× 17 0.6× 17 1.5× 14 1.8× 27 134
Wim Van Laer Belgium 5 63 1.5× 50 1.7× 36 1.2× 7 0.6× 19 2.4× 12 97
Qiu Ji China 5 99 2.4× 44 1.5× 22 0.7× 20 1.8× 11 1.4× 16 106
Ondřej Kuželka Czechia 6 88 2.1× 28 0.9× 25 0.8× 33 3.0× 10 1.3× 36 143
Bangsheng Tang China 4 32 0.8× 19 0.6× 23 0.8× 3 0.3× 8 1.0× 9 68
Aurélien Lemay France 6 80 2.0× 20 0.7× 56 1.9× 3 0.3× 14 1.8× 12 94
Takayoshi Shoudai Japan 6 69 1.7× 17 0.6× 41 1.4× 10 0.9× 10 1.3× 32 91
Adam Groce United States 4 80 2.0× 45 1.5× 13 0.4× 10 0.9× 41 5.1× 7 116
Iovka Boneva France 6 74 1.8× 22 0.7× 13 0.4× 13 1.2× 36 4.5× 14 91

Countries citing papers authored by Peggy Cellier

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Cellier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Cellier

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

All Works

18 of 18 papers shown
1.
Cellier, Peggy, et al.. (2025). Theoretical comparison of Relational Concept Analysis (RCA) and Graph-FCA (GCA). International Journal of Approximate Reasoning. 186. 109496–109496.
2.
Cellier, Peggy, et al.. (2023). Concepts of neighbors and their application to instance-based learning on relational data. International Journal of Approximate Reasoning. 164. 109059–109059. 3 indexed citations
3.
Cellier, Peggy & Kurt Driessens. (2020). Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I. Communications in computer and information science. 1167. 1 indexed citations
4.
Cellier, Peggy & Kurt Driessens. (2020). Machine Learning and Knowledge Discovery in Databases. Communications in computer and information science. 9 indexed citations
5.
Cellier, Peggy, et al.. (2020). Data-driven assessment of structural evolution of RDF graphs. Semantic Web. 11(5). 831–853. 3 indexed citations
6.
Ferré, Sébastien & Peggy Cellier. (2019). Graph-FCA: An extension of formal concept analysis to knowledge graphs. Discrete Applied Mathematics. 273. 81–102. 20 indexed citations
7.
Cellier, Peggy, et al.. (2017). Topic Signatures in Political Campaign Speeches. 2342–2347. 3 indexed citations
8.
Cellier, Peggy, et al.. (2017). Formal Concept Analysis. Lecture notes in computer science. 3 indexed citations
9.
Ducassé, Mireille & Peggy Cellier. (2016). Using Bids, Arguments and Preferences in Sensitive Multi-unit Assignments: A p-Equitable Process and a Course Allocation Case Study. Group Decision and Negotiation. 25(6). 1211–1235.
10.
Cellier, Peggy, Thierry Charnois, Marc Plantevit, et al.. (2015). Sequential pattern mining for discovering gene interactions and their contextual information from biomedical texts. Journal of Biomedical Semantics. 6(1). 27–27. 9 indexed citations
11.
Cellier, Peggy, et al.. (2015). Sequence mining under multiple constraints. 24. 908–914. 5 indexed citations
12.
Ducassé, Mireille & Peggy Cellier. (2014). Using Biddings and Motivations in Multi-unit Assignments. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
13.
Cellier, Peggy, Thierry Charnois, Andreas Hotho, Stan Matwin, & Marie‐Francine Moens. (2014). Interactions between Data Mining and Natural Language Processing. 2 indexed citations
14.
Ducassé, Mireille & Peggy Cellier. (2013). Fair and Fast Convergence on Islands of Agreement in Multicriteria Group Decision Making by Logical Navigation. Group Decision and Negotiation. 23(4). 673–694. 5 indexed citations
15.
Cellier, Peggy, Felix Distel, & Bernhard Ganter. (2013). Formal Concept Analysis. Lecture notes in computer science. 4 indexed citations
16.
Cellier, Peggy & Thierry Charnois. (2010). Fouille de données séquentielles d’itemsets pour l’apprentissage de patrons linguistiques. 165–170.
17.
Cellier, Peggy. (2008). Formal concept analysis applied to fault localization. 991–994. 7 indexed citations
18.
Cellier, Peggy, Sébastien Ferré, Olivier Ridoux, & Mireille Ducassé. (2008). A PARAMETERIZED ALGORITHM TO EXPLORE FORMAL CONTEXTS WITH A TAXONOMY. International Journal of Foundations of Computer Science. 19(2). 319–343. 7 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026