Philippe Codognet

1.1k citations
24 papers · 218 · h-index 9

Impact in

Papers in

Philippe Codognet

22 papers receiving 193 citations

Peers

Philippe Codognet
Comparison fields: 5 of 42
  • Software 35
  • Computer Networks and Communications 139
  • Signal Processing 51
  • Artificial Intelligence 130
  • Industrial and Manufacturing Engineering 25
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Citations per year

Countries citing papers authored by Philippe Codognet

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Codognet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Philippe Codognet, 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 Philippe Codognet Line = papers co-authored together Philippe Codognet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199689
2 200217
3 201114
4 200413
5 201410
6 199610
7 201410
8
An Incremental Hierarchical Constraint Solver.
19939
9 20158
10 20117
11 20025
12 20125
13 19994
14 20033
15 20133
16
Extending the WAM for Intelligent Backtracking.
19912
17 20092
18 20082
19
Improving Backward Execution in the Andorra Family of Languages.
19921
20
Labeling and Partial Arc Consistency for Soft Constraints.
19991

About Philippe Codognet

Philippe Codognet is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Software and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 218 indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (18 papers), Data Management and Algorithms (7 papers), Model-Driven Software Engineering Techniques (4 papers), Metaheuristic Optimization Algorithms Research (4 papers), AI-based Problem Solving and Planning (3 papers), Advanced Database Systems and Queries (3 papers), Logic, programming, and type systems (3 papers) and Scheduling and Timetabling Solutions (2 papers). The work is most often cited by research in Software (35 citations), Computer Networks and Communications (139 citations), Signal Processing (51 citations), Artificial Intelligence (130 citations) and Industrial and Manufacturing Engineering (25 citations). Philippe Codognet has collaborated with scholars based in France, Japan and Italy. Frequent co-authors include Daniel Díaz, Alejandro Arbeláez, Charlotte Truchet, Salvador Abreu, Francesca Rossi, Stefano Bistarelli, Florian Richoux, Pedro Barahona, François Pachet and Jimmy H. M. Lee. Their work appears in journals such as Constraints, Theory and Practice of Logic Programming, ACM Computing Surveys, Leonardo and Soft Computing.

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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