K. De Jong

961 citations
21 papers · 576 indexed · h-index 11
Topics
Evolutionary Algorithms and Applications (12 papers)Metaheuristic Optimization Algorithms Research (11 papers)Advanced Control Systems Optimization (2 papers)
Partner nations
United StatesPoland

In The Last Decade

K. De Jong

18 papers receiving 527 citations

Peers

K. De Jong
Comparison fields: 5 of 103
  • Artificial Intelligence 367
  • Computer Vision and Pattern Recognition 115
  • Computational Theory and Mathematics 104
  • Information Systems 62
  • Molecular Biology 45
Replace H. Vafaie with:
H. Vafaie United States
Zhiwei Lin United Kingdom
Onur Şeref United States
Ibrahim El-Henawy Egypt
Pablo Bermejo Spain
Tapio Elomaa Finland
Ritam Guha India
Takao Mohri Japan
Xuewen Chen United States
Samad Nejatian Iran
K. De Jong relative to H. Vafaie United States H. Vafaie's profile →
Citations per field
00.5×1.5×1.8×
H. Vafaie · 1×
Citations per year

Countries citing papers authored by K. De Jong

Since Specialization
Citations

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

Fields of papers citing papers by K. De Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. De Jong. 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 K. De Jong. The network helps show where K. De Jong may publish in the future.

Co-authorship network of co-authors of K. De Jong

This figure shows the co-authorship network connecting the top 25 collaborators of K. De Jong. A scholar is included among the top collaborators of K. De Jong 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 K. De Jong. K. De Jong 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 0
2 8
3 5
4 14
5 10
6 9
7 8
8
Structural design of reinforced concrete tall buildings : evolutionary computation approach using fuzzy sets
7
9 51
10 141
11 15
12 0
13 33
14 0
15 15
16 82
17 27
18 53
19 83
20
Intelligent control: integrating AI and control theory
10

About K. De Jong

K. De Jong is a scholar working on Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 21 papers that have together received 576 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (12 papers), Metaheuristic Optimization Algorithms Research (11 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Artificial Intelligence (367 citations), Computational Theory and Mathematics (104 citations) and Computer Vision and Pattern Recognition (115 citations). K. De Jong has collaborated with scholars based in United States and Poland. Frequent co-authors include H. Vafaie, Harry Wechsler, Anna Charlotte Schultz, Tomasz Arciszewski, Krzysztof Murawski, Alaa Sheta, Zbigniew Skolicki, Rafal Kicinger, Jayshree Sarma and Mark H. Houck. Their work appears in journals such as Evolutionary Computation, Advances in Engineering Software and Engineering With Computers.

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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