Friedemann Zenke
- Cognitive Neuroscience top 1%
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Wulfram GerstnerEmre NeftciHesham MostafaSurya GanguliTim P. VogelsBen PooleHenning SprekelerClaudia Clopath
- Topics
- Neural dynamics and brain function (25 papers)Advanced Memory and Neural Computing (24 papers)Neuroscience and Neural Engineering (8 papers)
- Journals
- ScienceNature CommunicationsNeuron
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Friedemann Zenke
28 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cognitive Neuroscience 1.9k
- Electrical and Electronic Engineering 1.7k
- Cellular and Molecular Neuroscience 1.1k
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 284
Countries citing papers authored by Friedemann Zenke
This map shows the geographic impact of Friedemann Zenke'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 Friedemann Zenke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Friedemann Zenke more than expected).
Fields of papers citing papers by Friedemann Zenke
This network shows the impact of papers produced by Friedemann Zenke. 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 Friedemann Zenke. The network helps show where Friedemann Zenke may publish in the future.
Co-authorship network of co-authors of Friedemann Zenke
This figure shows the co-authorship network connecting the top 25 collaborators of Friedemann Zenke. A scholar is included among the top collaborators of Friedemann Zenke 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 Friedemann Zenke. Friedemann Zenke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 26 | |
| 6 | 36 | |
| 7 | 120 | |
| 8 | 37 | |
| 9 | A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network | 1 |
| 10 | 132 | |
| 11 | 22 | |
| 12 | Improved multitask learning through synaptic intelligence. | 12 |
| 13 | 116 | |
| 14 | 111 | |
| 15 | 230 | |
| 16 | 28 | |
| 17 | 42 | |
| 18 | 102 | |
| 19 | 61 | |
| 20 | 470 |
About Friedemann Zenke
Friedemann Zenke is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 30 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (25 papers), Advanced Memory and Neural Computing (24 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Cellular and Molecular Neuroscience (1.1k citations) and Artificial Intelligence (1.0k citations). Friedemann Zenke has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Wulfram Gerstner, Emre Neftci, Hesham Mostafa, Surya Ganguli, Tim P. Vogels, Ben Poole, Henning Sprekeler, Claudia Clopath, Everton J. Agnes and Guillaume Hennequin. Their work appears in journals such as Science, Nature Communications and Neuron.
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.