Brigitte Quenet

731 total citations
28 papers, 585 citations indexed

About

Brigitte Quenet is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Brigitte Quenet has authored 28 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 8 papers in Sensory Systems. Recurrent topics in Brigitte Quenet's work include Neural dynamics and brain function (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Olfactory and Sensory Function Studies (8 papers). Brigitte Quenet is often cited by papers focused on Neural dynamics and brain function (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Olfactory and Sensory Function Studies (8 papers). Brigitte Quenet collaborates with scholars based in France, Israel and Canada. Brigitte Quenet's co-authors include Bertrand Lambolez, Étienne Audinat, James T. Porter, Bruno Cauli, Keisuke Tsuzuki, Jean Rossier, Gérard Arnold, Gérard Dreyfus, Rémi Dubois and D. Horn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Materials Science and Engineering A.

In The Last Decade

Brigitte Quenet

28 papers receiving 568 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brigitte Quenet France 11 273 271 135 129 116 28 585
Qili Liu United States 15 645 2.4× 318 1.2× 76 0.6× 219 1.7× 59 0.5× 32 1.2k
Jennifer Beshel United States 10 527 1.9× 334 1.2× 59 0.4× 79 0.6× 65 0.6× 10 811
Ofer Mazor United States 8 921 3.4× 592 2.2× 211 1.6× 242 1.9× 157 1.4× 13 1.4k
Adrian Mason United Kingdom 11 586 2.1× 440 1.6× 87 0.6× 18 0.1× 11 0.1× 16 831
Masayoshi Murakami Japan 14 385 1.4× 508 1.9× 25 0.2× 18 0.1× 14 0.1× 26 866
Hartwig Spors Germany 11 1.1k 4.1× 532 2.0× 73 0.5× 42 0.3× 66 0.6× 18 1.5k
Adam Baker United Kingdom 9 165 0.6× 927 3.4× 15 0.1× 53 0.4× 62 0.5× 14 1.1k
Rafael Levi United States 13 196 0.7× 209 0.8× 46 0.3× 46 0.4× 8 0.1× 27 342
Seetha Bhagavan United States 9 617 2.3× 285 1.1× 334 2.5× 297 2.3× 263 2.3× 14 1.1k
Alex Proekt United States 20 546 2.0× 655 2.4× 78 0.6× 18 0.1× 5 0.0× 36 1.1k

Countries citing papers authored by Brigitte Quenet

Since Specialization
Citations

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

Fields of papers citing papers by Brigitte Quenet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brigitte Quenet

This figure shows the co-authorship network connecting the top 25 collaborators of Brigitte Quenet. A scholar is included among the top collaborators of Brigitte Quenet 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 Brigitte Quenet. Brigitte Quenet 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
1.
Horcholle‐Bossavit, G. & Brigitte Quenet. (2021). Methods for frequency and correlation analyses of neurograms. MethodsX. 8. 101258–101258. 1 indexed citations
2.
Quenet, Brigitte, et al.. (2020). Is there a common drive for buccal movements associated with buccal and lung ‘breath’ in Lithobates catesbeianus?. Respiratory Physiology & Neurobiology. 275. 103382–103382. 1 indexed citations
3.
Horcholle‐Bossavit, G. & Brigitte Quenet. (2019). Neural network model of an amphibian ventilatory central pattern generator. Journal of Computational Neuroscience. 46(3). 299–320. 2 indexed citations
4.
Samson, Nathalie, Jean‐Paul Praud, Brigitte Quenet, Thomas Similowski, & Christian Straus. (2016). New insights into sucking, swallowing and breathing central generators: A complexity analysis of rhythmic motor behaviors. Neuroscience Letters. 638. 90–95. 12 indexed citations
5.
Quenet, Brigitte, Christian Straus, Marie‐Noëlle Fiamma, et al.. (2013). New insights in gill/buccal rhythm spiking activity and CO2 sensitivity in pre- and postmetamorphic tadpoles (Pelophylax ridibundus). Respiratory Physiology & Neurobiology. 191. 26–37. 8 indexed citations
6.
Horcholle‐Bossavit, G. & Brigitte Quenet. (2009). Neural model of frog ventilatory rhythmogenesis. Biosystems. 97(1). 35–43. 3 indexed citations
7.
Dubois, Rémi, Pierre Maison‐Blanche, Brigitte Quenet, & Gérard Dreyfus. (2007). Automatic ECG wave extraction in long-term recordings using Gaussian mesa function models and nonlinear probability estimators. Computer Methods and Programs in Biomedicine. 88(3). 217–233. 29 indexed citations
8.
Vialatte, François, Claire Martin, Rémi Dubois, et al.. (2006). A machine learning approach to the analysis of time–frequency maps, and its application to neural dynamics. Neural Networks. 20(2). 194–209. 42 indexed citations
9.
Horcholle‐Bossavit, G., et al.. (2006). Oscillation and coding in a formal neural network considered as a guide for plausible simulations of the insect olfactory system. Biosystems. 89(1-3). 244–256. 3 indexed citations
10.
Dubois, Rémi, et al.. (2006). Building meaningful representations for nonlinear modeling of 1d- and 2d-signals: applications to biomedical signals. Neurocomputing. 69(16-18). 2180–2192. 12 indexed citations
11.
Horn, D., et al.. (2005). The inertial-DNF model: spatiotemporal coding on two time scales. Neurocomputing. 65-66. 543–548. 1 indexed citations
12.
Horn, D., Gideon Dror, & Brigitte Quenet. (2004). Dynamic Proximity of Spatio-Temporal Sequences. IEEE Transactions on Neural Networks. 15(5). 1002–1008. 6 indexed citations
13.
Quenet, Brigitte, et al.. (2004). Formal modeling with multistate neurones and multidimensional synapses. Biosystems. 79(1-3). 21–32. 2 indexed citations
14.
Horn, D., et al.. (2004). Analysis of spatiotemporal patterns in a model of olfaction. Neurocomputing. 58-60. 1027–1032. 9 indexed citations
15.
Vialatte, François, Clara D. Martin, Nadine Ravel, et al.. (2003). Oscillatory activity, behaviour and memory, new approaches for LFP signal analysis. Acta Neurobiologiae Experimentalis. 63(5). 4 indexed citations
16.
Quenet, Brigitte & D. Horn. (2003). The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding. Neural Computation. 15(2). 309–329. 15 indexed citations
17.
Quenet, Brigitte, et al.. (2002). Modelling spatiotemporal olfactory data in two steps: from binary to Hodgkin–Huxley neurones. Biosystems. 67(1-3). 203–211. 6 indexed citations
18.
Lestienne, R., et al.. (2002). Functionality of divergence and convergence in a model of the insect olfactory system. Biological Cybernetics. 87(3). 220–229. 1 indexed citations
19.
Arnold, Gérard, et al.. (2002). Intra‐Colonial Variability in the Dance Communication in Honeybees (Apis mellifera). Ethology. 108(9). 751–761. 16 indexed citations
20.
Quenet, Brigitte, D. Horn, Gérard Dreyfus, & Rémi Dubois. (2001). Temporal coding in an olfactory oscillatory model. Neurocomputing. 38-40. 831–836. 6 indexed citations

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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