Simona Samardjiska

411 total citations
10 papers, 93 citations indexed

About

Simona Samardjiska is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Simona Samardjiska has authored 10 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Simona Samardjiska's work include Coding theory and cryptography (6 papers), Polynomial and algebraic computation (4 papers) and Cryptographic Implementations and Security (4 papers). Simona Samardjiska is often cited by papers focused on Coding theory and cryptography (6 papers), Polynomial and algebraic computation (4 papers) and Cryptographic Implementations and Security (4 papers). Simona Samardjiska collaborates with scholars based in Netherlands, Norway and Germany. Simona Samardjiska's co-authors include Jaap-Henk Hoepman, Zekeriya Erkin, Danilo Gligoroski, Mike Hamburg, Robert Primas, Christine van Vredendaal, Yanling Chen, Gabi Dreo Rodosek, Juliane Krämer and Erik Mårtensson and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Designs Codes and Cryptography and IACR Transactions on Cryptographic Hardware and Embedded Systems.

In The Last Decade

Simona Samardjiska

9 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simona Samardjiska Netherlands 5 78 19 17 15 13 10 93
Markus Schofnegger Austria 5 71 0.9× 15 0.8× 27 1.6× 10 0.7× 19 1.5× 9 90
Daniel Apon United States 4 70 0.9× 13 0.7× 18 1.1× 11 0.7× 12 0.9× 7 80
Nina Bindel Germany 7 86 1.1× 19 1.0× 33 1.9× 12 0.8× 9 0.7× 11 105
Alex J. Malozemoff United States 8 73 0.9× 10 0.5× 19 1.1× 14 0.9× 12 0.9× 11 88
Christine van Vredendaal Netherlands 6 77 1.0× 30 1.6× 26 1.5× 9 0.6× 8 0.6× 10 94
Satoshi Obana Japan 5 44 0.6× 9 0.5× 18 1.1× 11 0.7× 18 1.4× 17 57
Jacques Patarin France 5 56 0.7× 25 1.3× 8 0.5× 10 0.7× 14 1.1× 12 61
Xavier Bonnetain France 3 83 1.1× 30 1.6× 9 0.5× 12 0.8× 7 0.5× 8 93
Nico Döttling Germany 4 55 0.7× 15 0.8× 23 1.4× 13 0.9× 6 0.5× 9 64
Shi Bai United States 5 49 0.6× 11 0.6× 27 1.6× 15 1.0× 8 0.6× 15 66

Countries citing papers authored by Simona Samardjiska

Since Specialization
Citations

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

Fields of papers citing papers by Simona Samardjiska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simona Samardjiska

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

All Works

10 of 10 papers shown
1.
Samardjiska, Simona, et al.. (2024). Hardness estimates of the code equivalence problem in the rank metric. Designs Codes and Cryptography. 92(3). 833–862. 2 indexed citations
2.
Mårtensson, Erik, et al.. (2023). Belief Propagation Meets Lattice Reduction: Security Estimates for Error-Tolerant Key Recovery from Decryption Errors. IACR Transactions on Cryptographic Hardware and Embedded Systems. 287–317. 4 indexed citations
3.
Krämer, Juliane, et al.. (2023). Separating Oil and Vinegar with a Single Trace. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2023(3). 221–245. 4 indexed citations
4.
Samardjiska, Simona, et al.. (2021). Practically Solving LPN. Radboud Repository (Radboud University). 2399–2404. 1 indexed citations
5.
Erkin, Zekeriya, et al.. (2021). Practical Multi-Party Private Set Intersection Protocols. IEEE Transactions on Information Forensics and Security. 17. 1–15. 41 indexed citations
6.
Hamburg, Mike, et al.. (2021). Chosen Ciphertext k-Trace Attacks on Masked CCA2 Secure Kyber. IACR Transactions on Cryptographic Hardware and Embedded Systems. 88–113. 30 indexed citations
7.
Samardjiska, Simona & Danilo Gligoroski. (2017). Quadratic permutations, complete mappings and mutually orthogonal latin squares. Mathematica Slovaca. 67(5). 1129–1146. 5 indexed citations
8.
Samardjiska, Simona & Danilo Gligoroski. (2016). An encryption scheme based on Random Split of St-Gen codes. 800–804.
9.
Samardjiska, Simona & Danilo Gligoroski. (2014). Linearity Measures for Multivariate Public Key Cryptography. Duo Research Archive (University of Oslo). 157–166. 1 indexed citations
10.
Samardjiska, Simona, Yanling Chen, & Danilo Gligoroski. (2011). Construction of Multivariate Quadratic Quasigroups (MQQs) in arbitrary Galois fields. 314–319. 5 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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