Ralf Der
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
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- Advanced Thermodynamics and Statistical Mechanics
- Statistical Mechanics and Entropy
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 20
- Statistical Mechanics and Entropy 15
- stochastic dynamics and bifurcation 5
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- Neural Networks and Applications 18
- Evolutionary Algorithms and Applications 5
- Reinforcement Learning in Robotics 5
- Co-authors
- Georg Martius (12 shared papers)Michael Herrmann (5 shared papers)Thomas Villmann (3 shared papers)Thomas Martinetz (2 shared papers)Nihat Ay (5 shared papers)H.-U. Bauer (1 shared paper)Nils Bertschinger (1 shared paper)Eckehard Olbrich (1 shared paper)
In The Last Decade
Ralf Der
55 papers receiving 711 citations
Peers
Comparison fields: 5 of 93
- Cognitive Neuroscience 254
- Statistical and Nonlinear Physics 158
- Artificial Intelligence 397
- Computer Vision and Pattern Recognition 124
- Signal Processing 52
Countries citing papers authored by Ralf Der
This map shows the geographic impact of Ralf Der'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 Ralf Der with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Der more than expected).
Fields of papers citing papers by Ralf Der
This network shows the impact of papers produced by Ralf Der. 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 Ralf Der. The network helps show where Ralf Der may publish in the future.
Co-authors
The 22 scholars most cited alongside Ralf Der, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 190 | |
| 2 | 2008 | 95 | |
| 3 | 1996 | 67 | |
| 4 | 2013 | 36 | |
| 5 | 2012 | 29 | |
| 6 | Homeokinesis - A new principle to back up evolution with learning | 1999 | 28 |
| 7 | 2011 | 24 | |
| 8 | 2012 | 22 | |
| 9 | 2001 | 17 | |
| 10 | 2011 | 16 | |
| 11 | 2015 | 15 | |
| 12 | 2006 | 15 | |
| 13 | 2016 | 14 | |
| 14 | Rocking stamper and jumping snake from a dynamical system approach to artificial life | 2006 | 13 |
| 15 | 1989 | 12 | |
| 16 | 1975 | 11 | |
| 17 | 1985 | 10 | |
| 18 | 1994 | 10 | |
| 19 | Predictive information and emergent cooperativity in a chain of mobile robots | 2008 | 9 |
| 20 | 1997 | 9 |
About Ralf Der
Ralf Der is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Mechanical Engineering, having authored 59 papers that have together received 808 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (20 papers), Neural Networks and Applications (18 papers), Statistical Mechanics and Entropy (15 papers), Neural dynamics and brain function (14 papers), Modular Robots and Swarm Intelligence (7 papers), Evolutionary Algorithms and Applications (5 papers), Reinforcement Learning in Robotics (5 papers) and stochastic dynamics and bifurcation (5 papers). The work is most often cited by research in Cognitive Neuroscience (254 citations), Statistical and Nonlinear Physics (158 citations), Artificial Intelligence (397 citations), Computer Vision and Pattern Recognition (124 citations) and Signal Processing (52 citations). Ralf Der has collaborated with scholars based in Germany, Austria and Japan. Frequent co-authors include Georg Martius, Michael Herrmann, Thomas Villmann, Thomas Martinetz, Nihat Ay, H.-U. Bauer, Nils Bertschinger, Eckehard Olbrich, Frank Hesse and R. Haberlandt. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physics Letters A, Theory in Biosciences, Molecular Physics and Adaptive Behavior.
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.