Sebastian Gerwinn
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Electrical and Electronic Engineering
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Matthias BethgeJakob H. MackeRalf M. HaefnerFabian H. SinzPhilipp BerensAlexander S. EckerMartin FränzleAndreas S. Tolias
- Topics
- Neural dynamics and brain function (7 papers)Software Reliability and Analysis Research (3 papers)Machine Learning and Data Classification (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Sebastian Gerwinn
25 papers receiving 463 citations
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 262
- Cellular and Molecular Neuroscience 101
- Electrical and Electronic Engineering 88
- Artificial Intelligence 83
- Statistical and Nonlinear Physics 49
Countries citing papers authored by Sebastian Gerwinn
This map shows the geographic impact of Sebastian Gerwinn'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 Sebastian Gerwinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Gerwinn more than expected).
Fields of papers citing papers by Sebastian Gerwinn
This network shows the impact of papers produced by Sebastian Gerwinn. 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 Sebastian Gerwinn. The network helps show where Sebastian Gerwinn may publish in the future.
Co-authorship network of co-authors of Sebastian Gerwinn
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Gerwinn. A scholar is included among the top collaborators of Sebastian Gerwinn 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 Sebastian Gerwinn. Sebastian Gerwinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes | 1 |
| 2 | Bayesian Evidential Deep Learning with PAC Regularization | 1 |
| 3 | 7 | |
| 4 | Perspectives on the Validation and Verification of Machine Learning Systems in the Context of Highly Automated Vehicles. | 1 |
| 5 | Simulation-based Completeness Analysis and Adaption of Fault Trees | 1 |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 110 | |
| 9 | 65 | |
| 10 | 3 | |
| 11 | 54 | |
| 12 | 11 | |
| 13 | 45 | |
| 14 | 43 | |
| 15 | 16 | |
| 16 | Neurometric function analysis of population codes | 6 |
| 17 | 13 | |
| 18 | 16 | |
| 19 | 5 | |
| 20 | Bayesian Inference for Spiking Neuron Models with a Sparsity Prior | 23 |
About Sebastian Gerwinn
Sebastian Gerwinn is a scholar working on Software, Signal Processing and Cognitive Neuroscience, having authored 25 papers that have together received 479 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Software Reliability and Analysis Research (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Cellular and Molecular Neuroscience (101 citations) and General Decision Sciences (8 citations). Sebastian Gerwinn has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Matthias Bethge, Jakob H. Macke, Ralf M. Haefner, Fabian H. Sinz, Philipp Berens, Alexander S. Ecker, Martin Fränzle, Andreas S. Tolias, Alessandro Abate and Johanna L. Mathieu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and NeuroImage.
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.