Walter Senn

7.4k citations
106 papers · 3.9k indexed · h-index 34

Impact in

Papers in

Walter Senn

99 papers receiving 3.8k citations

Peers

Walter Senn
Comparison fields: 5 of 139
  • Cognitive Neuroscience 2.9k
  • Cellular and Molecular Neuroscience 1.8k
  • Neurology 274
  • Statistical and Nonlinear Physics 382
  • Developmental Biology 60
Replace Tomoki Fukai with:
Tomoki Fukai Japan
Tim P. Vogels United Kingdom
Romain Brette France
L. F. Abbott United States
Uri T. Eden United States
Yves Frégnac France
Bartlett W. Mel United States
Péter Barthó Hungary
Moshe Abeles Israel
Ilan Lampl Israel
Walter Senn relative to Tomoki Fukai Japan Tomoki Fukai's profile →
Citations per field
00.5×
Tomoki Fukai · 1×
Citations per year

Countries citing papers authored by Walter Senn

Since Specialization
Citations

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

Fields of papers citing papers by Walter Senn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20240
4 20243
5 20241
6 20238
7 202310
8 202115
9
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons
20212
10 202012
11 201976
12 201513
13 2014130
14
Sequence learning with hidden units in spiking neural networks
201120
15 201136
16 200913
17 200315
18 199722
19
Mozarts Bäsle-Briefe
19914
20
Festschrift Walter Senn zum 70. Geburtstag
19752

About Walter Senn

Walter Senn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Developmental Biology and Electrical and Electronic Engineering, having authored 106 papers that have together received 3.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (73 papers), Advanced Memory and Neural Computing (46 papers), Neuroscience and Neural Engineering (24 papers), Neuroscience and Neuropharmacology Research (13 papers), stochastic dynamics and bifurcation (11 papers), Neural Networks and Applications (9 papers), Neural Networks and Reservoir Computing (8 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.9k citations), Cellular and Molecular Neuroscience (1.8k citations), Neurology (274 citations), Statistical and Nonlinear Physics (382 citations) and Developmental Biology (60 citations). Walter Senn has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Stefano Fusi, Robert Urbanczik, Hans‐Rudolf Lüscher, Giancarlo La Camera, J. M. Brader, Werner Eugster, Thomas Nevian, Misha Tsodyks, Alexander Rauch and Jean-Pascal Pfister. Their work appears in journals such as PLoS Computational Biology, Neural Computation, Biological Cybernetics, Journal of Neuroscience and eLife.

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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