Jens Jägersküpper

771 citations
14 papers · 241 indexed · h-index 7
Topics
Metaheuristic Optimization Algorithms Research (9 papers)Evolutionary Algorithms and Applications (9 papers)Advanced Multi-Objective Optimization Algorithms (8 papers)
Partner nations
GermanyFranceIndia

In The Last Decade

Jens Jägersküpper

13 papers receiving 236 citations

Peers

Jens Jägersküpper
Comparison fields: 5 of 37
  • Artificial Intelligence 207
  • Computational Theory and Mathematics 131
  • Computer Networks and Communications 30
  • Genetics 19
  • Management Science and Operations Research 19
Replace Carola Winzen with:
Carola Winzen Germany
Leonard H. Soicher United Kingdom
Nguyen Quang Uy Vietnam
Mario Gionfriddo Italy
Martin Kütz Germany
Jian-Hua Yin China
Daniel Johannsen Germany
Luc Teirlinck United States
Oleg Golubitsky Canada
Earl S. Kramer United States
Jens Jägersküpper relative to Carola Winzen Germany Carola Winzen's profile →
Citations per field
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Carola Winzen · 1×
Citations per year

Countries citing papers authored by Jens Jägersküpper

Since Specialization
Citations

This map shows the geographic impact of Jens Jägersküpper'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 Jens Jägersküpper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Jägersküpper more than expected).

Fields of papers citing papers by Jens Jägersküpper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jens Jägersküpper. 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 Jens Jägersküpper. The network helps show where Jens Jägersküpper may publish in the future.

Co-authorship network of co-authors of Jens Jägersküpper

This figure shows the co-authorship network connecting the top 25 collaborators of Jens Jägersküpper. A scholar is included among the top collaborators of Jens Jägersküpper 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 Jens Jägersküpper. Jens Jägersküpper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 1
3 0
4
DLR-Project Digital-X: Next generation CFD solver 'Flucs'
5
5 19
6 2
7 60
8 5
9 60
10 10
11 41
12 7
13
Rigorous Runtime Analysis of a (µ+1) ES for the Sphere Function
3
14 23

About Jens Jägersküpper

Jens Jägersküpper is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computational Mechanics, having authored 14 papers that have together received 241 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (9 papers) and Advanced Multi-Objective Optimization Algorithms (8 papers). The work is most often cited by research in Computational Theory and Mathematics (131 citations), Artificial Intelligence (207 citations) and Management Science and Operations Research (19 citations). Jens Jägersküpper has collaborated with scholars based in Germany, France and India. Frequent co-authors include Tobias Storch, Carsten Witt, Tobias Leicht, Ralf Hartmann, Pedro Stefanin Volpiani, Jean-Baptiste Chapelier, Mike Preuß and Jens Fiedler. Their work appears in journals such as Theoretical Computer Science, Journal of Aircraft and Operations Research Letters.

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.

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