Vesselin Velichkov

7 papers receiving 70 citations

Peers

Vesselin Velichkov
Comparison fields: 5 of 14
  • Artificial Intelligence 53
  • Computer Networks and Communications 35
  • Computer Vision and Pattern Recognition 27
  • Information Systems 23
  • Signal Processing 12
Replace François Koeune with:
François Koeune Belgium
John Mattsson Sweden
Quynh Dang United States
Paul Rösler Germany
Jean Paul Degabriele United Kingdom
Elad Barkan Israel
Atul Luykx Belgium
Elena Andreeva Belgium
Yasuhiro Ohtaki Japan
Jaecheol Ha South Korea
Vesselin Velichkov relative to François Koeune Belgium François Koeune's profile →
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Citations per year

Countries citing papers authored by Vesselin Velichkov

Since Specialization
Citations

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

Fields of papers citing papers by Vesselin Velichkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesselin Velichkov

This figure shows the co-authorship network connecting the top 25 collaborators of Vesselin Velichkov. A scholar is included among the top collaborators of Vesselin Velichkov 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 Vesselin Velichkov. Vesselin Velichkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 26
2
SPARX: A Family of ARX-based Lightweight Block Ciphers Provably Secure Against Linear and Differential Attacks
9
3
UNAF: A Special Set of Additive Differences with Application to the Differential Analysis of ARX
1
4 32
5
Meet-in-the-Middle Attacks on Reduced-Round XTEA
5
6
Toolkit for the Differential Cryptanalysis of ARX-based Cryptographic Constructions
1
7 2
8
Algebraic Cryptanalysis of a Small-Scale Version of Stream Cipher LEX
0
9
On the Practical Performance of Rateless Codes
2

About Vesselin Velichkov

Vesselin Velichkov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 9 papers that have together received 78 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Artificial Intelligence (53 citations), Hardware and Architecture (11 citations) and Computer Networks and Communications (35 citations). Vesselin Velichkov has collaborated with scholars based in Belgium, Luxembourg and Austria. Frequent co-authors include Bart Preneel, Fréderik Vercauteren, Léo Perrin, Aleksei Udovenko, Johann Großschädl, Alex Biryukov, Christof Beierle, Qingju Wang, Daniel Dinu and Nicky Mouha. Their work appears in journals such as Lecture notes in computer science, IET Information Security and IACR Transactions on Symmetric Cryptology.

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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2026