D. Hansel

4.4k citations
28 papers · 3.0k indexed · h-index 18

D. Hansel

28 papers receiving 2.8k citations

Peers

D. Hansel
Comparison fields: 5 of 106
  • Statistical and Nonlinear Physics 1.5k
  • Cognitive Neuroscience 2.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Computer Networks and Communications 1.2k
  • Condensed Matter Physics 129
Replace Arun V. Holden with:
Arun V. Holden United Kingdom
Stephen Coombes United Kingdom
Paul C. Bressloff United States
Shigeru Shinomoto Japan
David Golomb Israel
Germán Mato Argentina
John M. Beggs United States
Michael Rosenblum Germany
David Hansel France
Nancy Kopell United States
D. Hansel relative to Arun V. Holden United Kingdom Arun V. Holden's profile →
Citations per field
00.5×1.5×1.9×
Arun V. Holden · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 200685
2 2006105
3 2005218
4 2003401
5 200154
6 2001113
7 2000135
8 1998138
9 1995452
10 1993226
11 1992219
12 1992247
13 19894
14 19882
15 198789
16 19866
17 19868
18 198616
19 19865
20 198524

About D. Hansel

D. Hansel is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), stochastic dynamics and bifurcation (14 papers), Theoretical and Computational Physics (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Photoreceptor and optogenetics research (3 papers), Stochastic processes and statistical mechanics (3 papers), Complex Network Analysis Techniques (3 papers) and Quantum many-body systems (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Cognitive Neuroscience (2.3k citations), Cellular and Molecular Neuroscience (1.1k citations), Computer Networks and Communications (1.2k citations) and Condensed Matter Physics (129 citations). D. Hansel has collaborated with scholars based in France, Israel and Argentina. Frequent 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. Their work appears in journals such as Neural Computation, Journal of Neuroscience, Physical Review Letters, Physical Review A and Journal of Neural Transmission.

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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