Vesselin Velichkov

783 total citations
9 papers, 78 citations indexed

About

Vesselin Velichkov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Vesselin Velichkov has authored 9 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Vesselin Velichkov's work include Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Vesselin Velichkov is often cited by papers focused on Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (5 papers) and Chaos-based Image/Signal Encryption (4 papers). Vesselin Velichkov collaborates with scholars based in Belgium, Luxembourg and Austria. Vesselin Velichkov's co-authors include Bart Preneel, Fréderik Vercauteren, Alex Biryukov, Léo Perrin, Aleksei Udovenko, Johann Großschädl, Christof Beierle, Qingju Wang, Daniel Dinu and Nicky Mouha and has published in prestigious journals such as Lecture notes in computer science, IET Information Security and IACR Transactions on Symmetric Cryptology.

In The Last Decade

Vesselin Velichkov

7 papers receiving 70 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vesselin Velichkov Belgium	4	53	35	27	23	12	9	78
François Koeune Belgium	5	40 0.8×	28 0.8×	18 0.7×	13 0.6×	10 0.8×	9	68
Elad Barkan Israel	2	65 1.2×	30 0.9×	39 1.4×	26 1.1×	16 1.3×	4	90
Quynh Dang United States	4	31 0.6×	23 0.7×	17 0.6×	27 1.2×	13 1.1×	7	58
Atul Luykx Belgium	6	67 1.3×	28 0.8×	40 1.5×	28 1.2×	5 0.4×	20	99
Jean Paul Degabriele United Kingdom	6	75 1.4×	63 1.8×	18 0.7×	28 1.2×	16 1.3×	10	107
Yasuhiro Ohtaki Japan	6	33 0.6×	42 1.2×	23 0.9×	24 1.0×	5 0.4×	18	93
Bhavana Kanukurthi India	2	26 0.5×	26 0.7×	23 0.9×	33 1.4×	14 1.2×	6	65
C. R. Kavitha India	7	48 0.9×	31 0.9×	23 0.9×	36 1.6×	17 1.4×	41	117
Jaecheol Ha South Korea	6	98 1.8×	20 0.6×	32 1.2×	58 2.5×	12 1.0×	48	115
Elena Andreeva Belgium	7	84 1.6×	19 0.5×	67 2.5×	13 0.6×	20 1.7×	25	104

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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Beierle, Christof, Alex Biryukov, Johann Großschädl, et al.. (2020). Lightweight AEAD and Hashing using the Sparkle Permutation Family. IACR Transactions on Symmetric Cryptology. 208–261. 26 indexed citations

2.

Dinu, Daniel, Léo Perrin, Aleksei Udovenko, et al.. (2016). SPARX: A Family of ARX-based Lightweight Block Ciphers Provably Secure Against Linear and Differential Attacks. 9 indexed citations

3.

Velichkov, Vesselin, Nicky Mouha, Christophe De Cannière, & Bart Preneel. (2012). UNAF: A Special Set of Additive Differences with Application to the Differential Analysis of ARX. Lecture notes in computer science. 7549. 287–305. 1 indexed citations

4.

Vercauteren, Fréderik, et al.. (2012). A cross-protocol attack on the TLS protocol. 62–72. 32 indexed citations

5.

Mouha, Nicky, et al.. (2011). Meet-in-the-Middle Attacks on Reduced-Round XTEA. Lirias (KU Leuven). 6558. 250–267. 5 indexed citations

6.

Mouha, Nicky, Vesselin Velichkov, Christophe De Cannière, & Bart Preneel. (2010). Toolkit for the Differential Cryptanalysis of ARX-based Cryptographic Constructions. 125–126. 1 indexed citations

7.

Velichkov, Vesselin, Vincent Rijmen, & Bart Preneel. (2010). Algebraic cryptanalysis of a small-scale version of stream cipher Lex. IET Information Security. 4(2). 49–61. 2 indexed citations

8.

Velichkov, Vesselin, Vincent Rijmen, & Bart Preneel. (2009). Algebraic Cryptanalysis of a Small-Scale Version of Stream Cipher LEX.

9.

Knežević, Miroslav, Vesselin Velichkov, Bart Preneel, & Ingrid Verbauwhede. (2008). On the Practical Performance of Rateless Codes. 173–176. 2 indexed citations

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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