Robert Urbanczik

1.5k total citations
43 papers, 873 citations indexed

About

Robert Urbanczik is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Robert Urbanczik has authored 43 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Cognitive Neuroscience and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Robert Urbanczik's work include Neural dynamics and brain function (16 papers), Neural Networks and Applications (15 papers) and Advanced Memory and Neural Computing (13 papers). Robert Urbanczik is often cited by papers focused on Neural dynamics and brain function (16 papers), Neural Networks and Applications (15 papers) and Advanced Memory and Neural Computing (13 papers). Robert Urbanczik collaborates with scholars based in Switzerland, Germany and United Kingdom. Robert Urbanczik's co-authors include Walter Senn, Clemens Wagner, Johannes Friedrich, Eleni Vasilaki, G. Reents, Wulfram Gerstner, Nicolas Frémaux, Manfred Opper, Johanni Brea and Jörg W. Stucki and has published in prestigious journals such as Physical Review Letters, Neuron and Nature Neuroscience.

In The Last Decade

Robert Urbanczik

41 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Urbanczik Switzerland 16 442 308 258 239 214 43 873
Andrew P. Davison France 18 831 1.9× 504 1.6× 217 0.8× 227 0.9× 481 2.2× 47 1.5k
Lars Buesing United Kingdom 13 628 1.4× 388 1.3× 463 1.8× 66 0.3× 222 1.0× 28 1.1k
Felix Schürmann Switzerland 21 792 1.8× 268 0.9× 151 0.6× 250 1.0× 571 2.7× 56 1.5k
Nils Bertschinger Germany 10 565 1.3× 324 1.1× 491 1.9× 94 0.4× 77 0.4× 26 1.1k
Guillaume Hennequin United Kingdom 13 789 1.8× 283 0.9× 151 0.6× 49 0.2× 377 1.8× 25 932
Hans Ekkehard Pleßer Norway 15 721 1.6× 362 1.2× 170 0.7× 119 0.5× 277 1.3× 38 1.1k
Liam Paninski United States 9 573 1.3× 88 0.3× 135 0.5× 50 0.2× 338 1.6× 12 725
J. Michael Herrmann United Kingdom 15 735 1.7× 183 0.6× 248 1.0× 69 0.3× 151 0.7× 68 1.2k
Md Sakib Hasan United States 12 125 0.3× 401 1.3× 168 0.7× 78 0.3× 174 0.8× 77 668
Ed Erwin United States 8 351 0.8× 49 0.2× 287 1.1× 117 0.5× 149 0.7× 12 662

Countries citing papers authored by Robert Urbanczik

Since Specialization
Citations

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

Fields of papers citing papers by Robert Urbanczik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Urbanczik

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

All Works

20 of 20 papers shown
1.
Urbanczik, Robert, et al.. (2016). Somato-dendritic Synaptic Plasticity and Error-backpropagation in Active Dendrites. PLoS Computational Biology. 12(2). e1004638–e1004638. 49 indexed citations
2.
Brea, Johanni, et al.. (2016). Prospective Coding by Spiking Neurons. PLoS Computational Biology. 12(6). e1005003–e1005003. 24 indexed citations
3.
Urbanczik, Robert, et al.. (2015). Hierarchical Novelty-Familiarity Representation in the Visual System by Modular Predictive Coding. PLoS ONE. 10(12). e0144636–e0144636. 4 indexed citations
4.
Urbanczik, Robert & Walter Senn. (2014). Learning by the Dendritic Prediction of Somatic Spiking. Neuron. 81(3). 521–528. 130 indexed citations
5.
Brea, Johanni, Robert Urbanczik, & Walter Senn. (2014). A Normative Theory of Forgetting: Lessons from the Fruit Fly. PLoS Computational Biology. 10(6). e1003640–e1003640. 18 indexed citations
6.
Urbanczik, Robert, et al.. (2012). Gradient estimation in dendritic reinforcement learning. PubMed. 2(1). 2–2. 3 indexed citations
7.
Friedrich, Johannes, Robert Urbanczik, & Walter Senn. (2011). Spatio-Temporal Credit Assignment in Neuronal Population Learning. PLoS Computational Biology. 7(6). e1002092–e1002092. 36 indexed citations
8.
Vasilaki, Eleni, Nicolas Frémaux, Robert Urbanczik, Walter Senn, & Wulfram Gerstner. (2009). Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail. PLoS Computational Biology. 5(12). e1000586–e1000586. 74 indexed citations
9.
Vasilaki, Eleni, et al.. (2009). Stimulus sampling as an exploration mechanism for fast reinforcement learning. Biological Cybernetics. 100(4). 319–330. 2 indexed citations
10.
Urbanczik, Robert & Walter Senn. (2009). Reinforcement learning in populations of spiking neurons. Nature Neuroscience. 12(3). 250–252. 62 indexed citations
11.
Urbanczik, Robert. (2006). SNA – a toolbox for the stoichiometric analysis of metabolic networks. BMC Bioinformatics. 7(1). 129–129. 26 indexed citations
12.
Wagner, Clemens & Robert Urbanczik. (2005). The Geometry of the Flux Cone of a Metabolic Network. Biophysical Journal. 89(6). 3837–3845. 54 indexed citations
13.
Biehl, Michael, et al.. (2005). Efficient training of multilayer perceptrons using principal component analysis. Physical Review E. 72(2). 26117–26117. 1 indexed citations
14.
Stucki, Jörg W. & Robert Urbanczik. (2005). Pyruvate metabolism in rat liver mitochondria. FEBS Journal. 272(24). 6244–6253. 4 indexed citations
15.
Urbanczik, Robert. (2003). Learning curves for mutual information maximization. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(1). 16106–16106. 1 indexed citations
16.
Opper, Manfred & Robert Urbanczik. (2001). Universal Learning Curves of Support Vector Machines. Physical Review Letters. 86(19). 4410–4413. 21 indexed citations
17.
Biehl, Michael, et al.. (2001). Efficiently Learning Multilayer Perceptrons. Physical Review Letters. 86(10). 2166–2169. 1 indexed citations
18.
Urbanczik, Robert. (2000). Online learning with ensembles. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(1). 1448–1451. 14 indexed citations
19.
Urbanczik, Robert. (2000). Statistical mechanics of mutual information maximization. Europhysics Letters (EPL). 49(5). 685–691. 2 indexed citations
20.
Kinzel, Wolfgang & Robert Urbanczik. (1998). On-line learning in a discrete state space. Journal of Physics A Mathematical and General. 31(1). L27–L30. 6 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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