Diederick Vermetten

710 citations
40 papers · 285 indexed · h-index 9
Topics
Metaheuristic Optimization Algorithms Research (24 papers)Advanced Multi-Objective Optimization Algorithms (20 papers)Evolutionary Algorithms and Applications (11 papers)

In The Last Decade

Diederick Vermetten

39 papers receiving 282 citations

Peers

Diederick Vermetten
Comparison fields: 5 of 53
  • Artificial Intelligence 213
  • Computational Theory and Mathematics 130
  • Management Science and Operations Research 44
  • Industrial and Manufacturing Engineering 23
  • Computer Networks and Communications 18
Replace Jiří Očenášek with:
Jiří Očenášek Czechia
Moncef Abbas Algeria
Aaron Sidford United States
Kiyohito Nagano Japan
Hime Oliveira Brazil
Stefano Ermon United States
David A. Drake United States
Dorit Dor Israel
Dirk Oliver Theis Germany
Guoli Ding United States
Diederick Vermetten relative to Jiří Očenášek Czechia Jiří Očenášek's profile →
Citations per field
00.5×10×20×30×40×48.5×
Jiří Očenášek · 1×
Citations per year

Countries citing papers authored by Diederick Vermetten

Since Specialization
Citations

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

Fields of papers citing papers by Diederick Vermetten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diederick Vermetten

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 2
5 3
6 10
7 0
8 8
9 2
10 56
11 1
12 28
13 5
14 13
15 2
16 2
17 5
18 5
19 5
20 27

About Diederick Vermetten

Diederick Vermetten is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 40 papers that have together received 285 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (24 papers), Advanced Multi-Objective Optimization Algorithms (20 papers) and Evolutionary Algorithms and Applications (11 papers). The work is most often cited by research in Computational Theory and Mathematics (130 citations), Artificial Intelligence (213 citations) and Management Science and Operations Research (44 citations). Diederick Vermetten has collaborated with scholars based in Netherlands, France and United Kingdom. Frequent co-authors include Thomas Bäck, Hao Wang, Carola Doerr, Anna V. Kononova, Furong Ye, Fabio Caraffini, Bas van Stein, Xavier Bonet-Monroig, Thomas E. O’Brien and Vedran Dunjko. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Physical review. A and Evolutionary Computation.

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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