Alexander G. Chefranov

413 citations
34 papers · 223 indexed · h-index 9
Topics
Chaos-based Image/Signal Encryption (11 papers)Cryptography and Data Security (7 papers)Coding theory and cryptography (5 papers)
Partner nations
CyprusRussiaTürkiye

In The Last Decade

Alexander G. Chefranov

29 papers receiving 186 citations

Peers

Alexander G. Chefranov
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 130
  • Artificial Intelligence 116
  • Information Systems 26
  • Radiology, Nuclear Medicine and Imaging 26
  • Media Technology 25
Replace Swarnendu Ghosh with:
Swarnendu Ghosh India
Ding-Jie Chen Taiwan
Huidong Liu China
Nesma Settouti Algeria
Zhi Gao China
Yifan Fu Australia
Justin Domke United States
S. Inkinen Switzerland
B. Sai Chandana India
Alexander G. Chefranov relative to Swarnendu Ghosh India Swarnendu Ghosh's profile →
Citations per field
00.5×9.5×
Swarnendu Ghosh · 1×
Citations per year

Countries citing papers authored by Alexander G. Chefranov

Since Specialization
Citations

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

Fields of papers citing papers by Alexander G. Chefranov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander G. Chefranov. 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 Alexander G. Chefranov. The network helps show where Alexander G. Chefranov may publish in the future.

Co-authorship network of co-authors of Alexander G. Chefranov

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander G. Chefranov. A scholar is included among the top collaborators of Alexander G. Chefranov 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 Alexander G. Chefranov. Alexander G. Chefranov 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 2
2 5
3 0
4 0
5 35
6 1
7 0
8 4
9 5
10 3
11 4
12 2
13 3
14
Countering Wrapping Attack on XML Signature in SOAP Message for Cloud Computing
6
15 1
16 8
17
Proceedings of the 3rd international conference on Security of information and networks
4
18 10
19 4
20 2

About Alexander G. Chefranov

Alexander G. Chefranov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 34 papers that have together received 223 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (11 papers), Cryptography and Data Security (7 papers) and Coding theory and cryptography (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Artificial Intelligence (116 citations) and Media Technology (25 citations). Alexander G. Chefranov has collaborated with scholars based in Cyprus, Russia and Türkiye. Frequent co-authors include Hasan Demirel, И. И. Мохов, Mehmet A. Orgun, Sorin A. Huss, Vijay Varadharajan, Izzat Alsmadi, Hooman Alavizadeh, Atilla Elçi, Ahmad Al-Khasawneh and Yousef‐Awwad Daraghmi. Their work appears in journals such as Sensors, Physics of Fluids and Neurocomputing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026