M. Gorges-Schleuter
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Industrial and Manufacturing Engineering top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Heinz MühlenbeinOliver KrämerWilfried JakobChristian BlumeIngo SieberH. GuthRobert A. RappWenzel Jakob
- Topics
- Advanced Multi-Objective Optimization Algorithms (4 papers)Metaheuristic Optimization Algorithms Research (4 papers)Evolutionary Algorithms and Applications (3 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational Theory and MathematicsArtificial Intelligence
- Partner nations
- Germany
In The Last Decade
M. Gorges-Schleuter
13 papers receiving 467 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 377
- Computational Theory and Mathematics 200
- Industrial and Manufacturing Engineering 149
- Computer Networks and Communications 87
- Electrical and Electronic Engineering 54
Countries citing papers authored by M. Gorges-Schleuter
This map shows the geographic impact of M. Gorges-Schleuter'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 M. Gorges-Schleuter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gorges-Schleuter more than expected).
Fields of papers citing papers by M. Gorges-Schleuter
This network shows the impact of papers produced by M. Gorges-Schleuter. 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 M. Gorges-Schleuter. The network helps show where M. Gorges-Schleuter may publish in the future.
Co-authorship network of co-authors of M. Gorges-Schleuter
This figure shows the co-authorship network connecting the top 25 collaborators of M. Gorges-Schleuter. A scholar is included among the top collaborators of M. Gorges-Schleuter 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 M. Gorges-Schleuter. M. Gorges-Schleuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | An Analysis of Local Selection in Evolution Strategies. | 15 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Parallel evolutionary algorithms and the concept of population structures | 1 |
| 9 | Application of Genetic Algorithms to Task Planning and Learning. | 53 |
| 10 | 18 | |
| 11 | ASPARAGOS An Asynchronous Parallel Genetic Optimization Strategy | 144 |
| 12 | 242 | |
| 13 | 45 | |
| 14 | 0 |
About M. Gorges-Schleuter
M. Gorges-Schleuter is a scholar working on Computational Theory and Mathematics, Industrial and Manufacturing Engineering and Bioengineering, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Evolutionary Algorithms and Applications (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (149 citations), Computational Theory and Mathematics (200 citations) and Artificial Intelligence (377 citations). M. Gorges-Schleuter has collaborated with scholars based in Germany. Frequent co-authors include Heinz Mühlenbein, Oliver Krämer, Wilfried Jakob, Christian Blume, Ingo Sieber, H. Guth, Robert A. Rapp and Wenzel Jakob. Their work appears in journals such as Parallel Computing, Microsystem Technologies and WIT transactions on the built environment.
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.