Oliver Breitwieser

591 total citations
9 papers, 183 citations indexed

About

Oliver Breitwieser is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Oliver Breitwieser has authored 9 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 7 papers in Cognitive Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Oliver Breitwieser's work include Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Reservoir Computing (5 papers). Oliver Breitwieser is often cited by papers focused on Advanced Memory and Neural Computing (8 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Reservoir Computing (5 papers). Oliver Breitwieser collaborates with scholars based in Germany, Switzerland and Sweden. Oliver Breitwieser's co-authors include Mihai A. Petrovici, Karlheinz Meier, Johannes Schemmel, Walter Senn, Ákos F. Kungl, Sebastian Billaudelle, Dominik Dold, Laura Kriener, Benjamin Cramer and Alain Destexhe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Oliver Breitwieser

9 papers receiving 180 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Oliver Breitwieser Germany	7	164	112	70	52	5	9	183
Ákos F. Kungl Germany	4	170 1.0×	96 0.9×	70 1.0×	59 1.1×	3 0.6×	7	185
Jakob Jordan Switzerland	7	114 0.7×	131 1.2×	33 0.5×	59 1.1×	9 1.8×	19	170
Darjan Salaj Austria	3	257 1.6×	204 1.8×	139 2.0×	75 1.4×	5 1.0×	4	308
Christian Pehle Germany	5	272 1.7×	131 1.2×	126 1.8×	103 2.0×	5 1.0×	7	301
Manu V Nair Switzerland	6	355 2.2×	101 0.9×	79 1.1×	122 2.3×	7 1.4×	8	366
Renato Duarte Germany	9	93 0.6×	150 1.3×	55 0.8×	54 1.0×	8 1.6×	25	210
Anand Subramoney Germany	6	286 1.7×	223 2.0×	161 2.3×	84 1.6×	6 1.2×	14	353
Dominik Dold Netherlands	4	92 0.6×	59 0.5×	46 0.7×	24 0.5×	2 0.4×	12	115
Sebastian Billaudelle Germany	8	321 2.0×	173 1.5×	136 1.9×	111 2.1×	6 1.2×	16	350
Johanna Senk Germany	7	116 0.7×	114 1.0×	36 0.5×	62 1.2×	15 3.0×	13	182

Countries citing papers authored by Oliver Breitwieser

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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9 of 9 papers shown

1.

Breitwieser, Oliver, Sacha J. van Albada, Walter Senn, et al.. (2022). Cortical oscillations support sampling-based computations in spiking neural networks. PLoS Computational Biology. 18(3). e1009753–e1009753. 10 indexed citations

2.

Stradmann, Yannik, et al.. (2022). Demonstrating Analog Inference on the BrainScaleS-2 Mobile System. SHILAP Revista de lepidopterología. 3. 252–262. 8 indexed citations

3.

Breitwieser, Oliver, et al.. (2020). sbs: Spike-based Sampling (v1.8.2). Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

4.

Billaudelle, Sebastian, Ákos F. Kungl, Oliver Breitwieser, et al.. (2020). Fast and deep neuromorphic learning with first-spike coding. 1–3. 17 indexed citations

5.

Kriener, Laura, Sebastian Billaudelle, Oliver Breitwieser, et al.. (2019). Fast and energy-efficient neuromorphic deep learning with first-spike times. arXiv (Cornell University). 76 indexed citations

6.

Dold, Dominik, Ákos F. Kungl, Oliver Breitwieser, et al.. (2019). Stochasticity from function — Why the Bayesian brain may need no noise. Neural Networks. 119. 200–213. 15 indexed citations

7.

Breitwieser, Oliver, et al.. (2018). Spiking neurons with short-term synaptic plasticity form superior generative networks. Scientific Reports. 8(1). 10651–10651. 20 indexed citations

8.

Jordan, Jakob, Mihai A. Petrovici, Oliver Breitwieser, et al.. (2017). Stochastic neural computation without noise. arXiv (Cornell University). 1 indexed citations

9.

Petrovici, Mihai A., Bernhard Vogginger, Paul Müller, et al.. (2014). Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms. PLoS ONE. 9(10). e108590–e108590. 34 indexed citations

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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