D. Hansel

4.4k total citations
28 papers, 3.0k citations indexed

About

D. Hansel is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Condensed Matter Physics. According to data from OpenAlex, D. Hansel has authored 28 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 15 papers in Cognitive Neuroscience and 11 papers in Condensed Matter Physics. Recurrent topics in D. Hansel's work include Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (14 papers) and Theoretical and Computational Physics (11 papers). D. Hansel is often cited by papers focused on Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (14 papers) and Theoretical and Computational Physics (11 papers). D. Hansel collaborates with scholars based in France, Israel and Argentina. D. Hansel's co-authors include Germán Mato, C. Meunier, Haim Sompolinsky, David Golomb, Nicolas Brunel, Carl van Vreeswijk, Nicolas Fourcaud‐Trocmé, Nicolas Brunel, Alex Roxin and Benjamin Pfeuty and has published in prestigious journals such as Physical Review Letters, Journal of Neuroscience and The Astrophysical Journal.

In The Last Decade

D. Hansel

28 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Hansel France 18 2.3k 1.5k 1.2k 1.1k 462 28 3.0k
David Golomb Israel 31 2.5k 1.1× 1.2k 0.8× 1.0k 0.9× 1.5k 1.3× 269 0.6× 56 3.2k
Shigeru Shinomoto Japan 23 1.3k 0.6× 826 0.5× 582 0.5× 587 0.5× 287 0.6× 76 2.5k
Germán Mato Argentina 17 1.5k 0.7× 945 0.6× 822 0.7× 736 0.7× 271 0.6× 47 2.0k
Stephen Coombes United Kingdom 36 2.6k 1.1× 2.0k 1.3× 1.8k 1.6× 809 0.7× 311 0.7× 140 4.1k
Carlo R. Laing New Zealand 29 2.2k 1.0× 1.8k 1.1× 2.3k 2.0× 498 0.4× 258 0.6× 82 3.6k
Nancy Kopell United States 22 1.2k 0.5× 1.1k 0.7× 1.1k 0.9× 632 0.6× 223 0.5× 35 2.2k
David Hansel France 27 1.8k 0.8× 698 0.5× 464 0.4× 1.4k 1.3× 384 0.8× 53 2.8k
Mark L. Spano United States 32 1.0k 0.5× 2.9k 1.9× 2.2k 1.8× 411 0.4× 261 0.6× 90 5.0k
John M. Beggs United States 27 4.1k 1.8× 1.4k 0.9× 414 0.4× 1.6k 1.4× 732 1.6× 66 5.0k
David Terman United States 31 2.5k 1.1× 1.7k 1.1× 1.5k 1.3× 1.7k 1.6× 316 0.7× 96 4.9k

Countries citing papers authored by D. Hansel

Since Specialization
Citations

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

Fields of papers citing papers by D. Hansel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Hansel

This figure shows the co-authorship network connecting the top 25 collaborators of D. Hansel. A scholar is included among the top collaborators of D. Hansel 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 D. Hansel. D. Hansel 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.
Brunel, Nicolas & D. Hansel. (2006). How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons. Neural Computation. 18(5). 1066–1110. 85 indexed citations
2.
Brunel, Nicolas & D. Hansel. (2006). How Noise Affects the Synchronization Properties of Recurrent Networks of Inhibitory Neurons. Neural Computation. 18(5). 1066–1110. 105 indexed citations
3.
Roxin, Alex, Nicolas Brunel, & D. Hansel. (2005). Role of Delays in Shaping Spatiotemporal Dynamics of Neuronal Activity in Large Networks. Physical Review Letters. 94(23). 238103–238103. 218 indexed citations
4.
Fourcaud‐Trocmé, Nicolas, D. Hansel, Carl van Vreeswijk, & Nicolas Brunel. (2003). How Spike Generation Mechanisms Determine the Neuronal Response to Fluctuating Inputs. Journal of Neuroscience. 23(37). 11628–11640. 401 indexed citations
5.
Ben‐Pazi, Hilla, Hagai Bergman, Joshua A. Goldberg, et al.. (2001). Synchrony of rest tremor in multiple limbs in Parkinson's disease: evidence for multiple oscillators. Journal of Neural Transmission. 108(3). 287–296. 54 indexed citations
6.
Vreeswijk, Carl van & D. Hansel. (2001). Patterns of Synchrony in Neural Networks with Spike Adaptation. Neural Computation. 13(5). 959–992. 113 indexed citations
7.
Golomb, David & D. Hansel. (2000). The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks. Neural Computation. 12(5). 1095–1139. 135 indexed citations
8.
Hansel, D., et al.. (1998). On Numerical Simulations of Integrate-and-Fire Neural Networks. Neural Computation. 10(2). 467–483. 138 indexed citations
9.
Hansel, D., Germán Mato, & C. Meunier. (1995). Synchrony in Excitatory Neural Networks. Neural Computation. 7(2). 307–337. 452 indexed citations
10.
Hansel, D., Germán Mato, & C. Meunier. (1993). Phase Dynamics for Weakly Coupled Hodgkin-Huxley Neurons. Europhysics Letters (EPL). 23(5). 367–372. 226 indexed citations
11.
Golomb, David, D. Hansel, Boris I. Shraiman, & Haim Sompolinsky. (1992). Clustering in globally coupled phase oscillators. Physical Review A. 45(6). 3516–3530. 219 indexed citations
12.
Hansel, D. & Haim Sompolinsky. (1992). Synchronization and computation in a chaotic neural network. Physical Review Letters. 68(5). 718–721. 247 indexed citations
13.
d'Auriac, J C Anglès, D. Hansel, & J.-M. Maillard. (1989). On the phase diagram of the chiral Potts model. Journal of Physics A Mathematical and General. 22(13). 2577–2585. 4 indexed citations
14.
Hansel, D., et al.. (1988). Series analysis of the q-state checkerboard Potts model. Journal of Physics A Mathematical and General. 21(1). 213–225. 2 indexed citations
15.
Georges, Antoine, D. Hansel, Pierre Le Doussal, & J.-M. Maillard. (1987). The replica momenta of a spin-glass and the phase diagram of n-colour Ashkin-Teller models. Journal de physique. 48(1). 1–9. 89 indexed citations
16.
Georges, Antoine, et al.. (1986). An α=1/2singularity in the vicinity of a disorder variety and its random walk interpretation. Journal of Physics A Mathematical and General. 19(6). L329–L333. 6 indexed citations
17.
Georges, Antoine, et al.. (1986). Rigorous bounds for 2D disordered ising models. Journal de physique. 47(6). 947–953. 8 indexed citations
18.
Bouchard, Julie, Antoine Georges, D. Hansel, Pierre Le Doussal, & Jean-Marie Maillard. (1986). Rigorous bounds and the replica method for products of random matrices. Journal of Physics A Mathematical and General. 19(18). L1145–L1152. 16 indexed citations
19.
Hansel, D., R. Pellat, A. Ramani, & F. R. Bouchet. (1986). On the closure of the hierarchy of galaxy correlation function in phase space. The Astrophysical Journal. 310. 23–23. 5 indexed citations
20.
Georges, Antoine, D. Hansel, Pierre Le Doussal, & J. P. Bouchaud. (1985). Exact properties of spin glasses. II. Nishimori's line : new results and physical implications. Journal de physique. 46(11). 1827–1836. 24 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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