Karell Bertet

22 papers receiving 130 citations

Peers

Karell Bertet
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 93
  • Signal Processing 36
  • Information Systems 51
  • Management Science and Operations Research 26
  • Artificial Intelligence 56
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Michinori Nakata Japan
Ingo Glöckner Germany
Barış Sertkaya Germany
Felix Distel Germany
Eylon Yogev Israel
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Wim Van Laer Belgium
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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 20 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201044
2 201615
3 201613
4 201112
5 20118
6 20197
7 20186
8 20046
9 20205
10 20164
11
From Implicational Systems to Direct-Optimal bases: A Logic-based Approach.
20154
12
The direct-optimal basis via reductions
20143
13 20173
14
The dependence Graph of a Lattice.
20122
15 20032
16 20022
17 20152
18 20152
19
FCA for Software Product Lines Representation: Mixing Configuration and Feature Relationships in a Unique Canonical Representation
20161
20
The multiple facets of the canonical direct implicational basis
20051

About Karell Bertet

Karell Bertet is a scholar working on Computational Theory and Mathematics, Information Systems, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 145 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (17 papers), Advanced Algebra and Logic (8 papers), Data Management and Algorithms (7 papers), Image Retrieval and Classification Techniques (5 papers), Data Mining Algorithms and Applications (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Semantic Web and Ontologies (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Signal Processing (36 citations), Information Systems (51 citations), Management Science and Operations Research (26 citations) and Artificial Intelligence (56 citations). Karell Bertet has collaborated with scholars based in France, Spain and Canada. Frequent co-authors include Bernard Monjardet, Jean-Marc Ogier, Christophe Rigaud, Arnaud Revel, Muriel Visani, Clémentine Nebut, Mickaël Coustaty, Pablo Cordero, Ángel Mora and Manuel Enciso. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Information Sciences, International Journal of Approximate Reasoning and Diabetes & Metabolism.

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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