Bernhard Nessler
Impact in
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Face recognition and analysis
Papers in
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- Neural dynamics and brain function 9
- Functional Brain Connectivity Studies 2
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- Advanced Memory and Neural Computing 7
- Co-authors
- Sepp Hochreiter (3 shared papers)Martin Heusel (3 shared papers)Thomas Unterthiner (3 shared papers)Hubert Ramsauer (2 shared papers)Wolfgang Maass (7 shared papers)Lars Buesing (3 shared papers)Michael Pfeiffer (4 shared papers)Johannes Bill (3 shared papers)
- Journals
- PLoS Computational Biology (4 papers)Neural Computation (1 paper)PLoS ONE (1 paper)International Conference on Learning Representations (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Bernhard Nessler
13 papers receiving 2.7k citations
Bernhard Nessler's Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 1.7k
- Computer Graphics and Computer-Aided Design 208
- Cognitive Neuroscience 547
- Artificial Intelligence 735
- Media Technology 137
Countries citing papers authored by Bernhard Nessler
This map shows the geographic impact of Bernhard Nessler'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 Bernhard Nessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernhard Nessler more than expected).
Fields of papers citing papers by Bernhard Nessler
This network shows the impact of papers produced by Bernhard Nessler. 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 Bernhard Nessler. The network helps show where Bernhard Nessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Bernhard Nessler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium Hit paper breakdown → | 2017 | 1986 |
| 2 | 2011 | 229 | |
| 3 | 2013 | 187 | |
| 4 | Speeding up Semantic Segmentation for Autonomous Driving | 2016 | 165 |
| 5 | 2014 | 70 | |
| 6 | STDP enables spiking neurons to detect hidden causes of their inputs | 2009 | 64 |
| 7 | 2015 | 37 | |
| 8 | 2010 | 23 | |
| 9 | Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints | 2012 | 19 |
| 10 | Hebbian Learning of Bayes Optimal Decisions | 2008 | 12 |
| 11 | 2015 | 8 | |
| 12 | Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields | 2018 | 6 |
| 13 | Briefe und Dokumente 1933-1977 | 2000 | 1 |
| 14 | The balancing principle for parameter choice in distance-regularized domain adaptation | 2021 | 0 |
About Bernhard Nessler
Bernhard Nessler is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers), Neural Networks and Applications (5 papers), Neuroscience and Neural Engineering (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Functional Brain Connectivity Studies (2 papers), Mycobacterium research and diagnosis (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Computer Graphics and Computer-Aided Design (208 citations), Cognitive Neuroscience (547 citations), Artificial Intelligence (735 citations) and Media Technology (137 citations). Bernhard Nessler has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Sepp Hochreiter, Martin Heusel, Thomas Unterthiner, Hubert Ramsauer, Wolfgang Maass, Lars Buesing, Michael Pfeiffer, Johannes Bill, David Kappel and Andreas Mayr. Their work appears in journals such as PLoS Computational Biology, Neural Computation, PLoS ONE, International Conference on Learning Representations and arXiv (Cornell University).
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.