Bernhard Nessler

10.2k total citations · 1 hit paper
14 papers, 2.8k citations indexed

About

Bernhard Nessler is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Bernhard Nessler has authored 14 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Bernhard Nessler's work include Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (5 papers). Bernhard Nessler is often cited by papers focused on Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (7 papers) and Neural Networks and Applications (5 papers). Bernhard Nessler collaborates with scholars based in Austria, Switzerland and Germany. Bernhard Nessler's co-authors include Martin Heusel, Thomas Unterthiner, Sepp Hochreiter, Hubert Ramsauer, Wolfgang Maass, Lars Buesing, Michael Pfeiffer, Johannes Bill, David Kappel and Michael Widrich and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and Neural Computation.

In The Last Decade

Bernhard Nessler

13 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

2017 2.0k citations Martin Heusel, Hubert Ramsauer et al. arXiv (Cornell University) profile →

Peers

Countries citing papers authored by Bernhard Nessler

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bernhard Nessler

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Nessler. A scholar is included among the top collaborators of Bernhard Nessler 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 Bernhard Nessler. Bernhard Nessler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	The balancing principle for parameter choice in distance-regularized domain adaptation 2021 ·Neural Information Processing Systems ·Werner Zellinger, (unknown), (unknown), Hamid Eghbal-zadeh, (unknown), Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Moser	0
2	Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields 2018 ·International Conference on Learning Representations ·Thomas Unterthiner, Bernhard Nessler, (unknown), Günter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter	6
3	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium breakdown → 2017 ·arXiv (Cornell University) ·Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter	1986
4	Speeding up Semantic Segmentation for Autonomous Driving 2016 ·(unknown), Jose A. Arjona-Medina, Thomas Unterthiner, Rupesh Durgesh, (unknown), (unknown), Andreas Mayr, Martin Heusel, Markus Hofmarcher, Michael Widrich, Bernhard Nessler, Sepp Hochreiter	165
5	Where’s the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network 2015 ·PLoS Computational Biology ·Christoph Hartmann, Andreea Lazăr, Bernhard Nessler, Jochen Triesch	37
6	Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition 2015 ·PLoS ONE ·Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass, Robert Legenstein	8
7	STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning 2014 ·PLoS Computational Biology ·David Kappel, Bernhard Nessler, Wolfgang Maass	70
8	Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity 2013 ·PLoS Computational Biology ·Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass	187
9	Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints 2012 ·Neural Information Processing Systems ·Stefan Habenschuss, Johannes Bill, Bernhard Nessler	19
10	Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons 2011 ·PLoS Computational Biology ·Lars Buesing, Johannes Bill, Bernhard Nessler, Wolfgang Maass	229
11	Reward-Modulated Hebbian Learning of Decision Making 2010 ·Neural Computation ·Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas, Wolfgang Maass	23
12	STDP enables spiking neurons to detect hidden causes of their inputs 2009 ·Neural Information Processing Systems ·Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass	64
13	Hebbian Learning of Bayes Optimal Decisions 2008 ·Neural Information Processing Systems ·Bernhard Nessler, Michael Pfeiffer, Wolfgang Maass	12
14	Briefe und Dokumente 1933-1977 2000 ·Medical Entomology and Zoology ·Eugen Fink, Jan Patočka, (unknown), Bernhard Nessler, (unknown)	1

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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