Sibylle D. Müller
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 0.5%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Petros KoumoutsakosNikolaus HansenStefan KernDirk BücheJiří OčenášekJens Honoré WaltherNicol N. SchraudolphIgor Mezić
- Topics
- Metaheuristic Optimization Algorithms Research (5 papers)Evolutionary Algorithms and Applications (4 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceComputer Vision and Pattern Recognition
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Sibylle D. Müller
10 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.1k
- Computational Theory and Mathematics 622
- Biomedical Engineering 219
- Electrical and Electronic Engineering 198
- Computer Vision and Pattern Recognition 196
Countries citing papers authored by Sibylle D. Müller
This map shows the geographic impact of Sibylle D. Müller'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 Sibylle D. Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibylle D. Müller more than expected).
Fields of papers citing papers by Sibylle D. Müller
This network shows the impact of papers produced by Sibylle D. Müller. 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 Sibylle D. Müller. The network helps show where Sibylle D. Müller may publish in the future.
Co-authorship network of co-authors of Sibylle D. Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Sibylle D. Müller. A scholar is included among the top collaborators of Sibylle D. Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sibylle D. Müller. Sibylle D. Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 164 | |
| 2 | 13 | |
| 3 | Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)breakdown → | 1667 |
| 4 | 26 | |
| 5 | 21 | |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 232 | |
| 9 | 17 | |
| 10 | Evolution strategies for computational and experimental Fluid Dynamic applications | 6 |
| 11 | Gibt es Menschenrechte bei Samuel Pufendorf | 1 |
About Sibylle D. Müller
Sibylle D. Müller is a scholar working on Modeling and Simulation, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Evolutionary Algorithms and Applications (4 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Computational Theory and Mathematics (622 citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (196 citations). Sibylle D. Müller has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Petros Koumoutsakos, Nikolaus Hansen, Stefan Kern, Dirk Büche, Jiří Očenášek, Jens Honoré Walther, Nicol N. Schraudolph, Igor Mezić, Georges‐Henri Cottet and Ivo F. Sbalzarini. Their work appears in journals such as AIAA Journal, IEEE Transactions on Evolutionary Computation and Computers & Fluids.
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.