Yves Kodratoff

55 papers receiving 534 citations

Peers

Yves Kodratoff
Comparison fields: 5 of 98
  • Artificial Intelligence 432
  • Information Systems 153
  • Computational Theory and Mathematics 129
  • Computer Networks and Communications 63
  • Signal Processing 56
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Citations per year

Countries citing papers authored by Yves Kodratoff

Since Specialization
Citations

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

Fields of papers citing papers by Yves Kodratoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Kodratoff

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
From the Texts to the Contexts They Contain: A Chain of Linguistic Treatments.
6
2
Etude de mesures de qualité pour classer les termes extraits de corpus spécialisés.
0
3 1
4
Proceedings of the 12th international conference on Industrial and engineering applications of artificial intelligence and expert systems: multiple approaches to intelligent systems
1
5 9
6
Learning first order logic rules with a genetic algorithm
27
7 3
8
Predicate synthesis from formal specifications
5
9 4
10
Solving how to clear a block with constructive matching methodology
0
11
Combining similarity and causality in creative analogy
5
12
Machine learning: an artificial intelligence approach volume III
139
13
DISCIPLE-1: interactive apprentice system in weak theory fields
10
14
Noise and knowledge acquisition
19
15
Automated deduction in an uncertain and inconsistent data basis
0
16
Méthode de transformation de programmes de Burstall-Darlington appliquée à la programmation logique.
1
17
Careful generalization for concept learning
3
18
Logique et apprentissage.
0
19
Trivializing the proof of trivial theorems
1
20
Characterization of a class of functions synthesized from examples by a summers like method using a B.M.W. matching technique
5

About Yves Kodratoff

Yves Kodratoff is a scholar working on Artificial Intelligence, Software and Computational Theory and Mathematics, having authored 62 papers that have together received 611 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (11 papers), Semantic Web and Ontologies (6 papers) and Logic, programming, and type systems (5 papers). The work is most often cited by research in Artificial Intelligence (432 citations), Computational Theory and Mathematics (129 citations) and Software (28 citations). Yves Kodratoff has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Ryszard S. Michalski, Gheorghe Tecuci, Alan W. Biermann, Michel Manago, Mathieu Roche, Brian R. Gaines, John H. Boose, Oriane Matte-Tailliez, Boris Imelik and Jim Blythe. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Programming Languages and Systems and Lecture notes in computer science.

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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