Benoît Girard

62 papers receiving 2.1k citations

Peers

Benoît Girard
Comparison fields: 5 of 158
  • Biochemistry 429
  • Tourism, Leisure and Hospitality Management 48
  • Food Science 549
  • Cognitive Neuroscience 527
  • Plant Science 666
Replace Linda M. Bartoshuk with:
Linda M. Bartoshuk United States
Benôıt Girard France
Han‐Seok Seo United States
Rose Marie Pangborn United States
Dominique Valentin France
B. Thomas Carr Australia
Massimiliano Zampini Italy
Attila Gere Hungary
Pascal Schlich France
Juyun Lim United States
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Citations per field
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Citations per year

Countries citing papers authored by Benoît Girard

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Girard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999481
2 2000154
3 2000123
4 1998104
5 200585
6 201879
7 200968
8 199567
9
From Animals to Animats 10
200858
10 201755
11 201955
12 199852
13 199951
14 201243
15 200541
16 200239
17 201537
18 201536
19 200436
20 199536

About Benoît Girard

Benoît Girard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Plant Science and Molecular Biology, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (9 papers), Postharvest Quality and Shelf Life Management (9 papers), Reinforcement Learning in Robotics (8 papers), Horticultural and Viticultural Research (6 papers), Plant Physiology and Cultivation Studies (6 papers) and Neurological disorders and treatments (5 papers). The work is most often cited by research in Biochemistry (429 citations), Tourism, Leisure and Hospitality Management (48 citations), Food Science (549 citations), Cognitive Neuroscience (527 citations) and Plant Science (666 citations). Benoît Girard has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Lana Fukumoto, Pascal Delaquis, Giuseppe Mazza, Alain Berthoz, Mehdi Khamassi, SEFA S. KOSEOGLU, Agnès Guillot, Kuldeep Agarwal, Guillaume Viejo and Jean-Arcady Meyer. Their work appears in journals such as European Journal of Neuroscience, Biological Cybernetics, Food Research International, Scientific Reports and Journal of Neurophysiology.

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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