Markus Quade
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Neural Networks and Applications 3
- Evolutionary Algorithms and Applications 3
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- Model Reduction and Neural Networks 3
- Co-authors
- Brian M. de Silva (1 shared paper)Jean-Christophe Loiseau (1 shared paper)Steven L. Brunton (1 shared paper)J. Nathan Kutz (1 shared paper)Robert K. Niven (4 shared papers)Kathleen Champion (1 shared paper)Markus Abel (4 shared papers)Kamran Shafi (2 shared papers)
- Journals
- Physical review. E (1 paper)Physica D Nonlinear Phenomena (1 paper)Nonlinear Dynamics (1 paper)elib (German Aerospace Center) (1 paper)The Journal of Open Source Software (1 paper)
In The Last Decade
Markus Quade
7 papers receiving 276 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 141
- Statistics, Probability and Uncertainty 57
- Artificial Intelligence 94
- Control and Systems Engineering 62
- Computational Mechanics 32
Countries citing papers authored by Markus Quade
This map shows the geographic impact of Markus Quade'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 Markus Quade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Quade more than expected).
Fields of papers citing papers by Markus Quade
This network shows the impact of papers produced by Markus Quade. 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 Markus Quade. The network helps show where Markus Quade may publish in the future.
Co-authors
The 18 scholars most cited alongside Markus Quade, 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 | 2020 | 144 | |
| 2 | 2016 | 85 | |
| 3 | 2020 | 21 | |
| 4 | 2017 | 11 | |
| 5 | 2020 | 10 | |
| 6 | 2018 | 8 | |
| 7 | 2020 | 2 | |
| 8 | Symbolic regression for identification, prediction, and control of dynamical systems | 2018 | 0 |
About Markus Quade
Markus Quade is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications and Control and Systems Engineering, having authored 8 papers that have together received 281 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Evolutionary Algorithms and Applications (3 papers), Model Reduction and Neural Networks (3 papers), Gene Regulatory Network Analysis (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper), Greenhouse Technology and Climate Control (1 paper), Aerodynamics and Acoustics in Jet Flows (1 paper) and Control Systems and Identification (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (141 citations), Statistics, Probability and Uncertainty (57 citations), Artificial Intelligence (94 citations), Control and Systems Engineering (62 citations) and Computational Mechanics (32 citations). Markus Quade has collaborated with scholars based in Germany, France and Australia. Frequent co-authors include Brian M. de Silva, Jean-Christophe Loiseau, Steven L. Brunton, J. Nathan Kutz, Robert K. Niven, Kathleen Champion, Markus Abel, Kamran Shafi, Bernd R. Noack and Laurent Cordier. Their work appears in journals such as Physical review. E, Physica D Nonlinear Phenomena, Nonlinear Dynamics, elib (German Aerospace Center) and The Journal of Open Source Software.
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.