Oliver Breitwieser
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Statistical and Nonlinear Physics
- Co-authors
- Mihai A. PetroviciKarlheinz MeierJohannes SchemmelWalter SennÁkos F. KunglSebastian BillaudelleLaura KrienerDominik Dold
- Topics
- Advanced Memory and Neural Computing (8 papers)Neural dynamics and brain function (7 papers)Neural Networks and Reservoir Computing (5 papers)
- Cited by
- Cognitive NeuroscienceElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- GermanySwitzerlandAustria
In The Last Decade
Oliver Breitwieser
9 papers receiving 180 citations
Peers
Comparison fields: 5 of 26
- Electrical and Electronic Engineering 164
- Cognitive Neuroscience 112
- Artificial Intelligence 70
- Cellular and Molecular Neuroscience 52
- Statistical and Nonlinear Physics 5
Countries citing papers authored by Oliver Breitwieser
This map shows the geographic impact of Oliver Breitwieser'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 Oliver Breitwieser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Breitwieser more than expected).
Fields of papers citing papers by Oliver Breitwieser
This network shows the impact of papers produced by Oliver Breitwieser. 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 Oliver Breitwieser. The network helps show where Oliver Breitwieser may publish in the future.
Co-authorship network of co-authors of Oliver Breitwieser
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Breitwieser. A scholar is included among the top collaborators of Oliver Breitwieser 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 Oliver Breitwieser. Oliver Breitwieser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 76 | |
| 6 | 15 | |
| 7 | 20 | |
| 8 | Stochastic neural computation without noise | 1 |
| 9 | 34 |
About Oliver Breitwieser
Oliver Breitwieser is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 9 papers that have together received 183 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Cognitive Neuroscience (112 citations), Electrical and Electronic Engineering (164 citations) and Cellular and Molecular Neuroscience (52 citations). Oliver Breitwieser has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Mihai A. Petrovici, Karlheinz Meier, Johannes Schemmel, Walter Senn, Ákos F. Kungl, Sebastian Billaudelle, Laura Kriener, Dominik Dold, Benjamin Cramer and Paul Müller. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.