Karell Bertet

28 papers receiving 197 citations

Peers

Karell Bertet
Comparison fields: 5 of 48
  • Computational Theory and Mathematics 123
  • Signal Processing 42
  • Management Science and Operations Research 35
  • Information Systems 61
  • Artificial Intelligence 71
Replace Peggy Cellier with:
Peggy Cellier France
Ingo Glöckner Germany
María I. Sessa Italy
Guillaume Raschia France
Vo Ngoc Phu Vietnam
Pavel Klinov United Kingdom
Jérôme Mengin France
Piero Pagliani India
Ondřej Kuželka Czechia
Sebastian Skritek Austria
Karell Bertet relative to Peggy Cellier France Peggy Cellier's profile →
Citations per field
00.5×2.9×
Peggy Cellier · 1×
Citations per year

Countries citing papers authored by Karell Bertet

Since Specialization
Citations

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

Fields of papers citing papers by Karell Bertet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Karell Bertet, 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 Karell Bertet Line = papers co-authored together Karell Bertet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201055
2 201622
3 201619
4 201114
5 201113
6 200410
7 202010
8 20189
9 20197
10 20166
11 19975
12
The direct-optimal basis via reductions
20144
13 20064
14
From Implicational Systems to Direct-Optimal bases: A Logic-based Approach.
20154
15
The dependence Graph of a Lattice.
20123
16 20033
17 20173
18 20083
19 20152
20 20022

About Karell Bertet

Karell Bertet is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Signal Processing, having authored 33 papers that have together received 208 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (24 papers), Advanced Algebra and Logic (9 papers), Image Retrieval and Classification Techniques (9 papers), Data Management and Algorithms (8 papers), Data Mining Algorithms and Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Semantic Web and Ontologies (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Computational Theory and Mathematics (123 citations), Signal Processing (42 citations), Management Science and Operations Research (35 citations), Information Systems (61 citations) and Artificial Intelligence (71 citations). Karell Bertet has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Bernard Monjardet, Jean-Marc Ogier, Christophe Rigaud, Arnaud Revel, Muriel Visani, Mickaël Coustaty, Michel Morvan, Pablo Cordero, Jens Gustedt and Ángel Mora. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Lecture notes in computer science, Discrete Mathematics & Theoretical Computer Science and Advances in Data Analysis and Classification.

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