Robert Legenstein

5.7k citations

62 papers · 3.1k indexed · 3 hit papers · h-index 23

Impact in

Cognitive Neuroscience top 1%
- Neural dynamics and brain function
Cellular and Molecular Neuroscience top 2%
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research

Papers in ⓘ

Electrical and Electronic Engineering 45
- Advanced Memory and Neural Computing 44
- Ferroelectric and Negative Capacitance Devices 4
Cognitive Neuroscience 44
- Neural dynamics and brain function 44

Co-authors: Wolfgang Maass (33 shared papers)Themis Prodromakis (2 shared papers)Ozan Özdenizci (6 shared papers)B. Linares-Barranco (1 shared paper)G. Deligeorgis (1 shared paper)Giacomo Indiveri (1 shared paper)Johannes Bill (3 shared papers)Dejan Pecevski (2 shared papers)
Journals: PLoS Computational Biology (6 papers)Nature Communications (4 papers)Neural Computation (4 papers)Frontiers in Neuroscience (4 papers)Journal of Neuroscience (3 papers)
Partner nations: Austria Germany Switzerland

In The Last Decade

Robert Legenstein

59 papers receiving 3.0k citations

Hit Papers

align trajectories log scale

Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models 2023 · 187 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 IEEE Transactions on Pattern Analysis and Machine Intelligence
2020 Nature Communications
2013 Nanotechnology

Peers

Countries citing papers authored by Robert Legenstein

Since Specialization

Citations

This map shows the geographic impact of Robert Legenstein'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 Robert Legenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Legenstein more than expected).

Fields of papers citing papers by Robert Legenstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Legenstein. 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 Robert Legenstein. The network helps show where Robert Legenstein may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert Legenstein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Legenstein Line = papers co-authored together Robert Legenstein links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Integration of nanoscale memristor synapses in neuromorphic computing architectures Nanotechnology ·Giacomo Indiveri, B. Linares-Barranco, Robert Legenstein, G. Deligeorgis, Themis Prodromakis Hit paper breakdown →	2013	464
2	Edge of chaos and prediction of computational performance for neural circuit models Neural Networks ·Robert Legenstein, Wolfgang Maass	2007	280
3	A solution to the learning dilemma for recurrent networks of spiking neurons Nature Communications ·Guillaume Bellec, Franz Scherr, Anand Subramoney, Elias Hajek, Darjan Salaj, Robert Legenstein, Wolfgang Maass Hit paper breakdown →	2020	269
4	Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses Nature Communications ·Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein, Themis Prodromakis	2016	264
5	Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ozan Özdenizci, Robert Legenstein Hit paper breakdown →	2023	187
6	A Learning Theory for Reward-Modulated Spike-Timing-Dependent Plasticity with Application to Biofeedback PLoS Computational Biology ·Robert Legenstein, Dejan Pecevski, Wolfgang Maass	2008	186
7	What Can a Neuron Learn with Spike-Timing-Dependent Plasticity? Neural Computation ·Robert Legenstein, Christian Naeger, Wolfgang Maass	2005	157
8	Combining predictions for accurate recommender systems Michael Jahrer, Andreas Töscher, Robert Legenstein	2010	149
9	Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons Journal of Neuroscience ·Robert Legenstein, Wolfgang Maass	2011	128
10	Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Neural Computation ·Lars Büsing, Benjamin Schrauwen, Robert Legenstein	2009	109
11	A Reward-Modulated Hebbian Learning Rule Can Explain Experimentally Observed Network Reorganization in a Brain Control Task Journal of Neuroscience ·Robert Legenstein, Steven M. Chase, Andrew B. Schwartz, Wolfgang Maass	2010	93
12	Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning Cerebral Cortex ·Gregor M. Hoerzer, Robert Legenstein, Wolfgang Maass	2012	88
13	A compound memristive synapse model for statistical learning through STDP in spiking neural networks Frontiers in Neuroscience ·Johannes Bill, Robert Legenstein	2014	80
14	Network Plasticity as Bayesian Inference PLoS Computational Biology ·David Kappel, Stefan Habenschuss, Robert Legenstein, Wolfgang Maass	2015	73
15	Reinforcement Learning on Slow Features of High-Dimensional Input Streams PLoS Computational Biology ·Robert Legenstein, Niko Wilbert, Laurenz Wiskott	2010	52
16	At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks Neural Information Processing Systems ·Nils Bertschinger, Thomas Natschläger, Robert Legenstein	2004	41
17	Improved neighborhood-based algorithms for large-scale recommender systems Andreas Töscher, Michael Jahrer, Robert Legenstein	2008	41
18	A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning eNeuro ·David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh, Wolfgang Maass	2018	37
19	Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment PLoS Computational Biology ·Robert Legenstein, Wolfgang Maass	2014	35
20	Spike frequency adaptation supports network computations on temporally dispersed information eLife ·Darjan Salaj, Anand Subramoney, Ceca Kraišniković, Guillaume Bellec, Robert Legenstein, Wolfgang Maass	2021	34

About Robert Legenstein

Robert Legenstein is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Artificial Intelligence, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (44 papers), Neural dynamics and brain function (44 papers), Neural Networks and Applications (17 papers), Neuroscience and Neural Engineering (13 papers), Neural Networks and Reservoir Computing (13 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Bandit Algorithms Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (922 citations), Artificial Intelligence (1.1k citations), Electrical and Electronic Engineering (2.0k citations) and Statistical and Nonlinear Physics (166 citations). Robert Legenstein has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Wolfgang Maass, Themis Prodromakis, Ozan Özdenizci, B. Linares-Barranco, G. Deligeorgis, Giacomo Indiveri, Johannes Bill, Dejan Pecevski, Guillaume Bellec and Anand Subramoney. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Neural Computation, Frontiers in Neuroscience and Journal of Neuroscience.

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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