Peter Dürr
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Reinforcement Learning in Robotics
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
-
- Advanced MEMS and NEMS Technologies
- Photonic and Optical Devices
- Advanced Memory and Neural Computing
Papers in
-
- Advanced MEMS and NEMS Technologies 9
- Photonic and Optical Devices 7
-
- Force Microscopy Techniques and Applications 3
- Co-authors
- Claudio Mattiussi (9 shared papers)Dario Floreano (7 shared papers)Detlef Kunze (12 shared papers)Harald Schenk (5 shared papers)H. Kück (4 shared papers)Hubert Lakner (6 shared papers)Andrea Soltoggio (3 shared papers)Thomas Haase (1 shared paper)
- Journals
- Journal of Computational Science (1 paper)Evolutionary Intelligence (1 paper)AI Magazine (1 paper)IEEE Computational Intelligence Magazine (1 paper)Sensors and Actuators A Physical (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Peter Dürr
27 papers receiving 957 citations
Peter Dürr's Hit Papers
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 461
- Electrical and Electronic Engineering 394
- Cognitive Neuroscience 119
- Instrumentation 20
- Computer Vision and Pattern Recognition 97
Countries citing papers authored by Peter Dürr
This map shows the geographic impact of Peter Dürr'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 Peter Dürr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Dürr more than expected).
Fields of papers citing papers by Peter Dürr
This network shows the impact of papers produced by Peter Dürr. 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 Peter Dürr. The network helps show where Peter Dürr may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Dürr, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neuroevolution: from architectures to learning Hit paper breakdown → | 2008 | 413 |
| 2 | 2000 | 148 | |
| 3 | 2001 | 93 | |
| 4 | Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios | 2008 | 76 |
| 5 | 2021 | 51 | |
| 6 | 2007 | 49 | |
| 7 | 2000 | 21 | |
| 8 | 1999 | 19 | |
| 9 | 2008 | 19 | |
| 10 | 2010 | 18 | |
| 11 | 2009 | 14 | |
| 12 | 2008 | 12 | |
| 13 | 2001 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2007 | 9 | |
| 16 | 2007 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2011 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2010 | 3 |
About Peter Dürr
Peter Dürr is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Media Technology and Biomedical Engineering, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced MEMS and NEMS Technologies (9 papers), Photonic and Optical Devices (7 papers), Evolutionary Algorithms and Applications (5 papers), Advanced Optical Imaging Technologies (5 papers), Reinforcement Learning in Robotics (4 papers), Laser Material Processing Techniques (3 papers), Force Microscopy Techniques and Applications (3 papers) and Optical Coatings and Gratings (3 papers). The work is most often cited by research in Artificial Intelligence (461 citations), Electrical and Electronic Engineering (394 citations), Cognitive Neuroscience (119 citations), Instrumentation (20 citations) and Computer Vision and Pattern Recognition (97 citations). Peter Dürr has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Claudio Mattiussi, Dario Floreano, Detlef Kunze, Harald Schenk, H. Kück, Hubert Lakner, Andrea Soltoggio, Thomas Haase, John A. Bullinaria and Yunlong Song. Their work appears in journals such as Journal of Computational Science, Evolutionary Intelligence, AI Magazine, IEEE Computational Intelligence Magazine and Sensors and Actuators A Physical.
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.