Peggy Cellier

462 citations
18 papers · 82 · h-index 6

Impact in

Papers in

    • Semantic Web and Ontologies 6
    • Natural Language Processing Techniques 3
    • Advanced Text Analysis Techniques 2
    • Logic, Reasoning, and Knowledge 2
    • Data Mining Algorithms and Applications 9

Peggy Cellier

15 papers receiving 79 citations

Peers

Peggy Cellier
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 30
  • Information Systems 30
  • Artificial Intelligence 41
  • Software 4
  • Signal Processing 8
Replace Robert H. Creecy with:
Robert H. Creecy United States
Aurélien Lemay France
Bangsheng Tang China
Qiu Ji China
Wim Van Laer Belgium
Mark-A. Krogel Germany
Andreas Lochbihler Switzerland
Pavel Klinov United Kingdom
Ondřej Kuželka Czechia
Andrey Rivkin Italy
Peggy Cellier relative to Robert H. Creecy United States Robert H. Creecy's profile →
Citations per field
00.5×
Robert H. Creecy · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Peggy Cellier, 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 Peggy Cellier Line = papers co-authored together Peggy Cellier links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201920
2 20159
3 20209
4 20087
5 20087
6 20155
7 20135
8 20134
9 20173
10 20173
11 20203
12 20233
13
Interactions between Data Mining and Natural Language Processing
20142
14 20201
15 20141
16 20250
17
Fouille de données séquentielles d’itemsets pour l’apprentissage de patrons linguistiques
20100
18 20160

About Peggy Cellier

Peggy Cellier is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Molecular Biology and Signal Processing, having authored 18 papers that have together received 82 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (9 papers), Rough Sets and Fuzzy Logic (7 papers), Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (3 papers), Advanced Text Analysis Techniques (2 papers), Data Management and Algorithms (2 papers), Logic, Reasoning, and Knowledge (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (30 citations), Information Systems (30 citations), Artificial Intelligence (41 citations), Software (4 citations) and Signal Processing (8 citations). Peggy Cellier has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Sébastien Ferré, Kurt Driessens, Mireille Ducassé, Thierry Charnois, Olivier Ridoux, Christophe Rigotti, Bruno Crémilleux, Alexandre Termier, Felix Distel and Marc Plantevit. Their work appears in journals such as International Journal of Approximate Reasoning, Group Decision and Negotiation, Semantic Web, Discrete Applied Mathematics and Journal of Biomedical Semantics.

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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