Werner M. Kistler
- Cognitive Neuroscience top 0.2%
- Electrical and Electronic Engineering top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Artificial Intelligence top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Co-authors
- Wulfram GerstnerLiam PaninskiRichard NaudJ. Leo van HemmenChris I. De ZeeuwCasper C. HoogenraadGoran SöhlKlaus Willecke
- Topics
- Neural dynamics and brain function (17 papers)Hearing, Cochlea, Tinnitus, Genetics (6 papers)stochastic dynamics and bifurcation (6 papers)
- Partner nations
- NetherlandsSwitzerlandGermany
In The Last Decade
Werner M. Kistler
23 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cognitive Neuroscience 4.3k
- Electrical and Electronic Engineering 3.2k
- Cellular and Molecular Neuroscience 2.2k
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 1.2k
Countries citing papers authored by Werner M. Kistler
This map shows the geographic impact of Werner M. Kistler'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 Werner M. Kistler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner M. Kistler more than expected).
Fields of papers citing papers by Werner M. Kistler
This network shows the impact of papers produced by Werner M. Kistler. 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 Werner M. Kistler. The network helps show where Werner M. Kistler may publish in the future.
Co-authorship network of co-authors of Werner M. Kistler
This figure shows the co-authorship network connecting the top 25 collaborators of Werner M. Kistler. A scholar is included among the top collaborators of Werner M. Kistler 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 Werner M. Kistler. Werner M. Kistler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neuronal Dynamics: From Single Neurons to Networks and Models of Cognitionbreakdown → | 409 |
| 2 | Neuronal Dynamicsbreakdown → | 858 |
| 3 | 8 | |
| 4 | 43 | |
| 5 | 115 | |
| 6 | 33 | |
| 7 | 131 | |
| 8 | 234 | |
| 9 | 346 | |
| 10 | 49 | |
| 11 | Spiking Neuron Modelsbreakdown → | 1959 |
| 12 | 26 | |
| 13 | Single neuron models | 1 |
| 14 | 2 | |
| 15 | 30 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 107 | |
| 19 | 20 | |
| 20 | 220 |
About Werner M. Kistler
Werner M. Kistler is a scholar working on Sensory Systems, Cognitive Neuroscience and Neurology, having authored 23 papers that have together received 6.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Hearing, Cochlea, Tinnitus, Genetics (6 papers) and stochastic dynamics and bifurcation (6 papers). The work is most often cited by research in Cognitive Neuroscience (4.3k citations), Cellular and Molecular Neuroscience (2.2k citations) and Statistical and Nonlinear Physics (1.2k citations). Werner M. Kistler has collaborated with scholars based in Netherlands, Switzerland and Germany. Frequent co-authors include Wulfram Gerstner, Liam Paninski, Richard Naud, J. Leo van Hemmen, Chris I. De Zeeuw, Casper C. Hoogenraad, Goran Söhl, Klaus Willecke, Ruben S. van der Giessen and Niels Galjart. Their work appears in journals such as Nature Genetics, Journal of Neuroscience and Annals of the New York Academy of Sciences.
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.