Ralf Der

1.6k citations
81 papers · 1.2k · h-index 17

Impact in

Papers in

Ralf Der

77 papers receiving 1.1k citations

Peers

Ralf Der
Comparison fields: 5 of 102
  • Cognitive Neuroscience 381
  • Artificial Intelligence 642
  • Statistical and Nonlinear Physics 185
  • Computer Vision and Pattern Recognition 181
  • Signal Processing 81
Replace Claudio Mattiussi with:
Claudio Mattiussi Switzerland
Dominik Endres Germany
H.-U. Bauer Germany
J. Michael Herrmann United Kingdom
Qianli Liao United States
Tetsuya Asai Japan
Subhash C. Kak United States
Mukund Balasubramanian United States
Ralph Linsker United States
Ron Chrisley United Kingdom
Ralf Der relative to Claudio Mattiussi Switzerland Claudio Mattiussi's profile →
Citations per field
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Claudio Mattiussi · 1×
Citations per year

Countries citing papers authored by Ralf Der

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997242
2 2008121
3 199678
4 201349
5
Homeokinesis - A new principle to back up evolution with learning
199945
6 201236
7 201132
8 200129
9 201227
10 201124
11 200623
12 200722
13
Rocking stamper and jumping snake from a dynamical system approach to artificial life
200621
14 200621
15
Proc. ICANN'94, Int. Conf. on Artificial Neural Networks
199420
16 201518
17 199518
18 201617
19 200116
20 199416

About Ralf Der

Ralf Der is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Artificial Intelligence, Computational Theory and Mathematics and Signal Processing, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (26 papers), Advanced Thermodynamics and Statistical Mechanics (21 papers), Neural dynamics and brain function (19 papers), Statistical Mechanics and Entropy (15 papers), Modular Robots and Swarm Intelligence (12 papers), Robot Manipulation and Learning (7 papers), Evolutionary Algorithms and Applications (6 papers) and Reinforcement Learning in Robotics (6 papers). The work is most often cited by research in Cognitive Neuroscience (381 citations), Artificial Intelligence (642 citations), Statistical and Nonlinear Physics (185 citations), Computer Vision and Pattern Recognition (181 citations) and Signal Processing (81 citations). Ralf Der has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Georg Martius, Michael Herrmann, Thomas Villmann, Nihat Ay, Thomas Martinetz, H.-U. Bauer, Frank Hesse, Eckehard Olbrich, Nils Bertschinger and Mikhail Prokopenko. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physics Letters A, Theory in Biosciences, Adaptive Behavior and Chemical Physics.

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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