André Grüning
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Small Animals top 10%
- Co-authors
- Gerrit de BruinW.G. BuistSusanne SchindlerLochran W. TraillPeter NeuhausShripad TuljapurkarJean‐Michel GaillardTim Coulson
- Topics
- Advanced Memory and Neural Computing (15 papers)Neural dynamics and brain function (13 papers)Neural Networks and Reservoir Computing (8 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
André Grüning
22 papers receiving 337 citations
Peers
Comparison fields: 5 of 60
- Electrical and Electronic Engineering 197
- Cognitive Neuroscience 184
- Artificial Intelligence 133
- Cellular and Molecular Neuroscience 48
- Small Animals 44
Countries citing papers authored by André Grüning
This map shows the geographic impact of André Grüning'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 André Grüning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Grüning more than expected).
Fields of papers citing papers by André Grüning
This network shows the impact of papers produced by André Grüning. 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 André Grüning. The network helps show where André Grüning may publish in the future.
Co-authorship network of co-authors of André Grüning
This figure shows the co-authorship network connecting the top 25 collaborators of André Grüning. A scholar is included among the top collaborators of André Grüning 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 André Grüning. André Grüning is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Introduction to Probabilistic Spiking Neural Networks. | 2 |
| 2 | 5 | |
| 3 | Spiking Neural Networks: A Stochastic Signal Processing Perspective | 1 |
| 4 | 6 | |
| 5 | 29 | |
| 6 | 64 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | Classifying Patterns in a Spiking Neural Network | 3 |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 108 | |
| 15 | 5 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 8 | |
| 20 | 42 |
About André Grüning
André Grüning is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 23 papers that have together received 350 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Neural dynamics and brain function (13 papers) and Neural Networks and Reservoir Computing (8 papers). The work is most often cited by research in Cognitive Neuroscience (184 citations), Small Animals (44 citations) and Artificial Intelligence (133 citations). André Grüning has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Gerrit de Bruin, W.G. Buist, Susanne Schindler, Lochran W. Traill, Peter Neuhaus, Shripad Tuljapurkar, Jean‐Michel Gaillard, Tim Coulson, Yaochu Jin and Sophie Denève. Their work appears in journals such as Nature, PLoS ONE and IEEE Signal Processing Magazine.
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.