Rasul Enayatifar

49 papers receiving 2.7k citations

Hit Papers

Chaos-based image encryption using a hybrid genetic algor...20142026201820222014100200300

Peers

Rasul Enayatifar
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 1.7k
  • Artificial Intelligence 876
  • Computational Theory and Mathematics 640
  • Electrical and Electronic Engineering 348
  • Molecular Biology 325
Replace Xiaoheng Deng with:
Xiaoheng Deng China
Zenggang Xiong China
Javier Fernández Spain
Homayun Motameni Iran
José A. Gámez Spain
Mehrdad Mahdavi United States
Yingchi Mao China
Panagiotis Patrinos Belgium
Jinglu Hu Japan
Kathrin Klamroth Germany
Rasul Enayatifar relative to Xiaoheng Deng China Xiaoheng Deng's profile →
Citations per field
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Xiaoheng Deng · 1×
Citations per year

Countries citing papers authored by Rasul Enayatifar

Since Specialization
Citations

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

Fields of papers citing papers by Rasul Enayatifar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rasul Enayatifar

This figure shows the co-authorship network connecting the top 25 collaborators of Rasul Enayatifar. A scholar is included among the top collaborators of Rasul Enayatifar 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 Rasul Enayatifar. Rasul Enayatifar 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 2
3 1
4 14
5 85
6 57
7 49
8 54
9 82
10 57
11 69
12 126
13
Steganography by using Logistic Map Function and Cellular Automata
3
14 166
15 71
16 22
17 14
18 5
19 9
20 6

About Rasul Enayatifar

Rasul Enayatifar is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Artificial Intelligence, having authored 52 papers that have together received 2.7k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (24 papers), Advanced Steganography and Watermarking Techniques (15 papers) and Cellular Automata and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Computational Theory and Mathematics (640 citations) and Artificial Intelligence (876 citations). Rasul Enayatifar has collaborated with scholars based in Iran, Malaysia and Brazil. Frequent co-authors include Abdul Hanan Abdullah, Malrey Lee, Ismail Fauzi Isnin, Frederico Gadelha Guimarães, Hossein Javedani Sadaei, Hossein Nematzadeh, Moslem Yousefi, Homayun Motameni, Amer Nordin Darus and Patrick Siarry. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Expert Systems with Applications.

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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