Laure Buhry

578 total citations
14 papers, 249 citations indexed

About

Laure Buhry is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Laure Buhry has authored 14 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Laure Buhry's work include Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Laure Buhry is often cited by papers focused on Neural dynamics and brain function (13 papers), Advanced Memory and Neural Computing (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Laure Buhry collaborates with scholars based in France, Germany and United Kingdom. Laure Buhry's co-authors include Sen Cheng, Sylvain Saïghi, Axel Hutt, Sylvie Renaud, Hsin Chen, Audrey Giremus, Meysam Hashemi, Jamie Sleigh, Éric Grivel and Louise Tyvaert and has published in prestigious journals such as Neural Computation, Neurocomputing and Hippocampus.

In The Last Decade

Laure Buhry

13 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laure Buhry France 8 209 125 63 36 36 14 249
Maxym Myroshnychenko United States 7 309 1.5× 205 1.6× 49 0.8× 41 1.1× 27 0.8× 10 390
Werner Van Geit Switzerland 11 287 1.4× 197 1.6× 98 1.6× 41 1.1× 40 1.1× 20 371
Fang-Chin Yeh United States 7 275 1.3× 174 1.4× 63 1.0× 56 1.6× 33 0.9× 7 335
Sunny Nigam United States 6 188 0.9× 96 0.8× 41 0.7× 29 0.8× 25 0.7× 6 222
Basabdatta Sen Bhattacharya United Kingdom 9 296 1.4× 128 1.0× 72 1.1× 23 0.6× 29 0.8× 38 374
Felipe Gerhard Switzerland 6 225 1.1× 132 1.1× 54 0.9× 43 1.2× 28 0.8× 9 283
Keisuke Ota Japan 9 273 1.3× 196 1.6× 33 0.5× 37 1.0× 17 0.5× 28 412
Cristiano Capone Italy 10 251 1.2× 120 1.0× 60 1.0× 42 1.2× 20 0.6× 22 285
Jonathan Platkiewicz France 6 244 1.2× 169 1.4× 83 1.3× 58 1.6× 19 0.5× 7 320
Michelle Rudolph France 10 309 1.5× 194 1.6× 89 1.4× 92 2.6× 37 1.0× 15 404

Countries citing papers authored by Laure Buhry

Since Specialization
Citations

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

Fields of papers citing papers by Laure Buhry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Buhry

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

All Works

14 of 14 papers shown
1.
2.
Buhry, Laure, et al.. (2022). A general pattern of non-spiking neuron dynamics under the effect of potassium and calcium channel modifications. Journal of Computational Neuroscience. 51(1). 173–186. 2 indexed citations
3.
Buhry, Laure, et al.. (2021). Design of Experiments and Sobol’ sensitivity analysis of a hippocampus computational model. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6146–6150.
4.
Contassot‐Vivier, Sylvain, et al.. (2020). Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation. Frontiers in Neuroinformatics. 14. 522000–522000. 3 indexed citations
5.
Hashemi, Meysam, Axel Hutt, Laure Buhry, & Jamie Sleigh. (2018). Optimal Model Parameter Estimation from EEG Power Spectrum Features Observed during General Anesthesia. Neuroinformatics. 16(2). 231–251. 24 indexed citations
6.
Buhry, Laure, et al.. (2018). A detailed anatomical and mathematical model of the hippocampal formation for the generation of sharp-wave ripples and theta-nested gamma oscillations. Journal of Computational Neuroscience. 45(3). 207–221. 13 indexed citations
7.
Shiau, LieJune & Laure Buhry. (2018). Interneuronal gamma oscillations in hippocampus via adaptive exponential integrate-and-fire neurons. Neurocomputing. 331. 220–234. 2 indexed citations
8.
Yoshida, Motoharu, et al.. (2017). The CAN‐In network: A biologically inspired model for self‐sustained theta oscillations and memory maintenance in the hippocampus. Hippocampus. 27(4). 450–463. 10 indexed citations
9.
Hutt, Axel & Laure Buhry. (2014). Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia. Journal of Computational Neuroscience. 37(3). 417–437. 25 indexed citations
10.
Buhry, Laure, et al.. (2011). Reactivation, Replay, and Preplay: How It Might All Fit Together. Neural Plasticity. 2011. 1–11. 78 indexed citations
11.
12.
13.
Chen, Hsin, Sylvain Saïghi, Laure Buhry, & Sylvie Renaud. (2010). Real-Time Simulation of Biologically Realistic Stochastic Neurons in VLSI. IEEE Transactions on Neural Networks. 21(9). 1511–1517. 32 indexed citations
14.
Saïghi, Sylvain, et al.. (2008). Adjusting the neurons models in neuromimetic ICs using the voltage-clamp technique. 17. 1564–1567. 4 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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2026