Philippe Besnard

10.8k citations
298 papers · 7.5k · h-index 48

Impact in

Papers in

    • Logic, Reasoning, and Knowledge 79
    • Semantic Web and Ontologies 46
    • Multi-Agent Systems and Negotiation 34
    • Logic, programming, and type systems 26
    • Biochemical Analysis and Sensing Techniques 42

Philippe Besnard

267 papers receiving 7.1k citations

Peers

Philippe Besnard
Comparison fields: 5 of 188
  • Sensory Systems 722
  • Nutrition and Dietetics 1.9k
  • Endocrine and Autonomic Systems 492
  • Biochemistry 455
  • Artificial Intelligence 1.7k
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Citations per field
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Citations per year

Countries citing papers authored by Philippe Besnard

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Besnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philippe Besnard, 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 Besnard Line = papers co-authored together Philippe Besnard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 298 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999302
2 2008302
3 2002297
4 2001293
5 2007194
6 1996189
7 2016185
8 2008168
9 2014163
10 2011139
11 2001132
12 2011126
13 2013125
14 1989124
15 2006119
16 2009114
17 2011113
18 2001112
19 2014109
20 2002100

About Philippe Besnard

Philippe Besnard is a scholar working on Artificial Intelligence, Nutrition and Dietetics, Molecular Biology, Sociology and Political Science and Computational Theory and Mathematics, having authored 298 papers that have together received 7.5k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (79 papers), Semantic Web and Ontologies (46 papers), Biochemical Analysis and Sensing Techniques (42 papers), Peroxisome Proliferator-Activated Receptors (41 papers), Multi-Agent Systems and Negotiation (34 papers), Drug Transport and Resistance Mechanisms (28 papers), Advanced Algebra and Logic (26 papers) and Logic, programming, and type systems (26 papers). The work is most often cited by research in Sensory Systems (722 citations), Nutrition and Dietetics (1.9k citations), Endocrine and Autonomic Systems (492 citations), Biochemistry (455 citations) and Artificial Intelligence (1.7k citations). Philippe Besnard has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Anthony Hunter, Isabelle Niot, Hélène Poirier, Naim Akhtar Khan, Patricia Passilly‐Degrace, Aziz Hichami, Dany Gaillard, Leïla Amgoud, Jacques Grober and Michaël Chevrot. Their work appears in journals such as Biochimie, Journal of Biological Chemistry, FEBS Letters, Journal of Lipid Research and Contemporary Sociology A Journal of Reviews.

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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