Robert Urbanczik
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Neuroscience and Neural Engineering
- Neuroscience and Neuropharmacology Research
Papers in
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- Neural dynamics and brain function 16
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- Statistical Mechanics and Entropy 6
- Co-authors
- Walter SennClemens WagnerJohannes FriedrichEleni VasilakiG. ReentsWulfram GerstnerNicolas FrémauxManfred Opper
- Journals
- PLoS Computational Biology (6 papers)Physical Review Letters (4 papers)Europhysics Letters (EPL) (3 papers)BMC Neuroscience (3 papers)Neural Computation (3 papers)
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Robert Urbanczik
41 papers receiving 847 citations
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 442
- Cellular and Molecular Neuroscience 214
- Artificial Intelligence 258
- Statistical and Nonlinear Physics 75
- Electrical and Electronic Engineering 308
Countries citing papers authored by Robert Urbanczik
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
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-authors
The 13 scholars most cited alongside Robert Urbanczik, 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 | 2016 | 49 | |
| 2 | 2016 | 24 | |
| 3 | 2015 | 4 | |
| 4 | 2014 | 130 | |
| 5 | 2014 | 18 | |
| 6 | 2012 | 3 | |
| 7 | 2011 | 36 | |
| 8 | 2009 | 74 | |
| 9 | 2009 | 2 | |
| 10 | 2009 | 62 | |
| 11 | 2006 | 26 | |
| 12 | 2005 | 54 | |
| 13 | 2005 | 1 | |
| 14 | 2005 | 4 | |
| 15 | 2003 | 1 | |
| 16 | 2001 | 21 | |
| 17 | 2001 | 1 | |
| 18 | 2000 | 14 | |
| 19 | 2000 | 2 | |
| 20 | 1998 | 6 |
About Robert Urbanczik
Robert Urbanczik is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics, Artificial Intelligence, Cellular and Molecular Neuroscience and Signal Processing, having authored 43 papers that have together received 873 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), Neural Networks and Applications (15 papers), Advanced Memory and Neural Computing (13 papers), Neuroscience and Neural Engineering (8 papers), Machine Learning and Algorithms (7 papers), Statistical Mechanics and Entropy (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Gene Regulatory Network Analysis (5 papers). The work is most often cited by research in Cognitive Neuroscience (442 citations), Cellular and Molecular Neuroscience (214 citations), Artificial Intelligence (258 citations), Statistical and Nonlinear Physics (75 citations) and Electrical and Electronic Engineering (308 citations). Robert Urbanczik has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent 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. Their work appears in journals such as PLoS Computational Biology, Physical Review Letters, Europhysics Letters (EPL), BMC Neuroscience and Neural Computation.
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.