Jörg Stork
Impact in
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- Advanced Multi-Objective Optimization Algorithms
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- Digital Transformation in Industry
Papers in
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- Evolutionary Algorithms and Applications 4
- Metaheuristic Optimization Algorithms Research 3
- Gaussian Processes and Bayesian Inference 2
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- Advanced Multi-Objective Optimization Algorithms 6
- Co-authors
- Thomas Bartz–Beielstein (11 shared papers)A. E. Eiben (3 shared papers)Martin Zaefferer (7 shared papers)Andreas Fischbach (6 shared papers)Boris Naujoks (3 shared papers)Bogdan Filipič (1 shared paper)Daniel Horn (1 shared paper)Olaf Mersmann (1 shared paper)
- Journals
- Natural Computing (1 paper)Applied Soft Computing (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences) (1 paper)Proceedings of the Genetic and Evolutionary Computation Conference Companion (1 paper)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Jörg Stork
13 papers receiving 156 citations
Peers
Comparison fields: 5 of 60
- Computational Theory and Mathematics 61
- Industrial and Manufacturing Engineering 28
- Artificial Intelligence 77
- Statistics, Probability and Uncertainty 16
- Management Science and Operations Research 17
Countries citing papers authored by Jörg Stork
This map shows the geographic impact of Jörg Stork'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 Jörg Stork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Stork more than expected).
Fields of papers citing papers by Jörg Stork
This network shows the impact of papers produced by Jörg Stork. 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 Jörg Stork. The network helps show where Jörg Stork may publish in the future.
Co-authors
The 10 scholars most cited alongside Jörg Stork, 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 | 71 | |
| 2 | 2014 | 35 | |
| 3 | 2018 | 18 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 13 | |
| 6 | 2014 | 4 | |
| 7 | 2019 | 3 | |
| 8 | Modeling and Optimization of a Robust Gas Sensor | 2016 | 2 |
| 9 | Prediction of neural network performance by phenotypic modeling | 2019 | 1 |
| 10 | 2017 | 1 | |
| 11 | Simulation and Optimization of Cyclone Dust Separators | 2013 | 1 |
| 12 | Surrogate-Assisted Learning of Neural Networks | 2017 | 1 |
| 13 | 2017 | 1 |
About Jörg Stork
Jörg Stork is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research, Control and Systems Engineering and Computational Mechanics, having authored 13 papers that have together received 167 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Evolutionary Algorithms and Applications (4 papers), Metaheuristic Optimization Algorithms Research (3 papers), Optimal Experimental Design Methods (3 papers), Cyclone Separators and Fluid Dynamics (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Elevator Systems and Control (2 papers) and Aerosol Filtration and Electrostatic Precipitation (2 papers). The work is most often cited by research in Computational Theory and Mathematics (61 citations), Industrial and Manufacturing Engineering (28 citations), Artificial Intelligence (77 citations), Statistics, Probability and Uncertainty (16 citations) and Management Science and Operations Research (17 citations). Jörg Stork has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Thomas Bartz–Beielstein, A. E. Eiben, Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Bogdan Filipič, Daniel Horn, Olaf Mersmann, Evert Haasdijk and Julien Hubert. Their work appears in journals such as Natural Computing, Applied Soft Computing, The International Journal of Advanced Manufacturing Technology, Publication Server of Bonn-Rhein-Sieg University of Applied Sciences (Bonn-Rhein-Sieg University of Applied Sciences) and Proceedings of the Genetic and Evolutionary Computation Conference Companion.
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.