Jörg Stork
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
- Management Science and Operations Research
- Co-authors
- Thomas Bartz–BeielsteinA. E. EibenMartin ZaeffererAndreas FischbachBoris NaujoksBogdan FilipičDaniel HornJulien Hubert
- Topics
- Advanced Multi-Objective Optimization Algorithms (5 papers)Evolutionary Algorithms and Applications (3 papers)Optimal Experimental Design Methods (3 papers)
- Cited by
- Computational Theory and MathematicsIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- Applied Soft ComputingThe International Journal of Advanced Manufacturing TechnologyNatural Computing
- Partner nations
- GermanyNetherlandsSlovenia
In The Last Decade
Jörg Stork
11 papers receiving 147 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 73
- Computational Theory and Mathematics 59
- Industrial and Manufacturing Engineering 27
- Control and Systems Engineering 19
- 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-authorship network of co-authors of Jörg Stork
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Stork. A scholar is included among the top collaborators of Jörg Stork 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 Jörg Stork. Jörg Stork is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 13 | |
| 3 | 68 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | Modeling and Optimization of a Robust Gas Sensor | 2 |
| 9 | 33 | |
| 10 | 4 | |
| 11 | Simulation and Optimization of Cyclone Dust Separators | 1 |
About Jörg Stork
Jörg Stork is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research and Artificial Intelligence, having authored 11 papers that have together received 160 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (5 papers), Evolutionary Algorithms and Applications (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (59 citations), Industrial and Manufacturing Engineering (27 citations) and Artificial Intelligence (73 citations). Jörg Stork has collaborated with scholars based in Germany, Netherlands and Slovenia. Frequent co-authors include Thomas Bartz–Beielstein, A. E. Eiben, Martin Zaefferer, Andreas Fischbach, Boris Naujoks, Bogdan Filipič, Daniel Horn, Julien Hubert, Evert Haasdijk and Olaf Mersmann. Their work appears in journals such as Applied Soft Computing, The International Journal of Advanced Manufacturing Technology and Natural Computing.
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.