Anatoly Karpenko

421 citations
46 papers · 146 indexed · h-index 6
Topics
Metaheuristic Optimization Algorithms Research (14 papers)Advanced Multi-Objective Optimization Algorithms (7 papers)Advanced Data Processing Techniques (6 papers)
Partner nations
RussiaCanada

In The Last Decade

Anatoly Karpenko

29 papers receiving 134 citations

Peers

Anatoly Karpenko
Comparison fields: 5 of 59
  • Control and Systems Engineering 36
  • Computer Vision and Pattern Recognition 32
  • Artificial Intelligence 27
  • Mechanical Engineering 24
  • Industrial and Manufacturing Engineering 23
Replace Pengfei Xu with:
Pengfei Xu China
Somchat Jiriwibhakorn Thailand
Sajad Ahmad Rather India
Seyed‐Alireza Ahmadi Iran
Abhinandan De India
Husnain Ali Hong Kong
Łukasz Bartczuk Poland
Piotr Dziwiński Poland
Yann‐Chang Huang Taiwan
Ky Vu France
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Citations per field
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Pengfei Xu · 1×
Citations per year

Countries citing papers authored by Anatoly Karpenko

Since Specialization
Citations

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

Fields of papers citing papers by Anatoly Karpenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anatoly Karpenko

This figure shows the co-authorship network connecting the top 25 collaborators of Anatoly Karpenko. A scholar is included among the top collaborators of Anatoly Karpenko 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 Anatoly Karpenko. Anatoly Karpenko 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 2
3 0
4 0
5 5
6 2
7 23
8 0
9 1
10 0
11 1
12 0
13 1
14 0
15 1
16 6
17 0
18 31
19 1
20 2

About Anatoly Karpenko

Anatoly Karpenko is a scholar working on Artificial Intelligence, Control and Systems Engineering and Numerical Analysis, having authored 46 papers that have together received 146 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (14 papers), Advanced Multi-Objective Optimization Algorithms (7 papers) and Advanced Data Processing Techniques (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (23 citations), Computer Vision and Pattern Recognition (32 citations) and Control and Systems Engineering (36 citations). Anatoly Karpenko has collaborated with scholars based in Russia and Canada. Frequent co-authors include Parham Aarabi, К. Ф. Коледина, A. I. Leontiev, Victor Ovchinnikov and Elena Smirnova. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Mathematics.

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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