Borislav Stoyanov

504 citations
42 papers · 370 · h-index 12

Impact in

Papers in

Borislav Stoyanov

34 papers receiving 339 citations

Peers

Borislav Stoyanov
Comparison fields: 5 of 48
  • Computer Vision and Pattern Recognition 314
  • Statistical and Nonlinear Physics 85
  • Computational Theory and Mathematics 82
  • Mathematical Physics 41
  • Artificial Intelligence 109
Replace Prabir Kumar Naskar with:
Prabir Kumar Naskar India
Adrian-Viorel Diaconu Romania
Cuauhtémoc Mancillas-López Mexico
Zhenlong Man China
Houcemeddine Hermassi Tunisia
Milad Jafari Barani Iran
Nadeem Iqbal Pakistan
Jiming Zheng China
Mousa Farajallah Palestinian Territory
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Citations per field
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Citations per year

Countries citing papers authored by Borislav Stoyanov

Since Specialization
Citations

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

Fields of papers citing papers by Borislav Stoyanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Borislav Stoyanov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Borislav Stoyanov Line = papers co-authored together Borislav Stoyanov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201585
2 201545
3 201437
4 201417
5 202016
6 201716
7 201315
8 201014
9 201914
10 201214
11 202111
12 201411
13 201710
14 201410
15 20149
16 20196
17
Default ARTMAP Neural Networks for Financial Diagnosis.
20075
18 20185
19 20214
20 20073

About Borislav Stoyanov

Borislav Stoyanov is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Molecular Biology, having authored 42 papers that have together received 370 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (25 papers), Advanced Steganography and Watermarking Techniques (9 papers), Chaos control and synchronization (7 papers), Cryptographic Implementations and Security (6 papers), Cellular Automata and Applications (6 papers), Digital Media Forensic Detection (4 papers), Fractal and DNA sequence analysis (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (314 citations), Statistical and Nonlinear Physics (85 citations), Computational Theory and Mathematics (82 citations), Mathematical Physics (41 citations) and Artificial Intelligence (109 citations). Borislav Stoyanov has collaborated with scholars based in Bulgaria, Ireland and Poland. Frequent co-authors include Krasimir Kordov, Krzysztof Szczypiorski, Chris Barry, Георги Димитров, Ivan P. Bangov, Nikolay Kochev and D. Marchev. Their work appears in journals such as Applied Sciences, International Journal of Information Technology & Decision Making, Symmetry, Bulletin of the Polish Academy of Sciences Technical Sciences and Advanced Studies in Theoretical Physics.

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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