David Hansel

4.6k citations
59 papers · 3.0k · h-index 28

Impact in

Papers in

David Hansel

56 papers receiving 2.9k citations

Peers

David Hansel
Comparison fields: 5 of 121
  • Cognitive Neuroscience 2.0k
  • Cellular and Molecular Neuroscience 1.5k
  • Statistical and Nonlinear Physics 742
  • Neurology 652
  • Computer Networks and Communications 508
Replace Eric Shea‐Brown with:
Eric Shea‐Brown United States
David Terman United States
Tomoki Fukai Japan
Stefan Rotter Germany
Boris Gutkin France
Brian N. Lundstrom United States
Hamutal Slovin Israel
Arvind Kumar Germany
Wilson Truccolo United States
Moshe Abeles Israel
David Hansel relative to Eric Shea‐Brown United States Eric Shea‐Brown's profile →
Citations per field
00.5×3.7×
Eric Shea‐Brown · 1×
Citations per year

Countries citing papers authored by David Hansel

Since Specialization
Citations

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

Fields of papers citing papers by David Hansel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005288
2 2006255
3 1993221
4 2003156
5 2011147
6 1996144
7 2007133
8 2019131
9 2002126
10 201298
11 200195
12 200794
13 201387
14 201182
15 200077
16 199777
17 199075
18 201562
19 200955
20 200755

About David Hansel

David Hansel is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 59 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (31 papers), stochastic dynamics and bifurcation (12 papers), Advanced Memory and Neural Computing (9 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Theoretical and Computational Physics (7 papers), Visual perception and processing mechanisms (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Cellular and Molecular Neuroscience (1.5k citations), Statistical and Nonlinear Physics (742 citations), Neurology (652 citations) and Computer Networks and Communications (508 citations). David Hansel has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Germán Mato, Haim Sompolinsky, Carl van Vreeswijk, Arthur Leblois, Thomas Boraud, Wassilios G. Meissner, C. Meunier, Bernard Bioulac, Hagai Bergman and Oren Shriki. Their work appears in journals such as Physical Review Letters, PLoS Computational Biology, Journal of Neuroscience, Journal of Statistical Physics and Neural Computation.

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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