Simona Samardjiska

9 papers receiving 93 citations

Peers

Simona Samardjiska
Comparison fields: 5 of 21
  • Artificial Intelligence 78
  • Computer Vision and Pattern Recognition 19
  • Information Systems 17
  • Computational Theory and Mathematics 15
  • Electrical and Electronic Engineering 13
Replace Markus Schofnegger with:
Markus Schofnegger Austria
Nina Bindel Germany
Daniel Apon United States
Alex J. Malozemoff United States
Jacques Patarin France
Satoshi Obana Japan
Daniel Kales Austria
Abdelrahaman Aly Belgium
Xavier Bonnetain France
Christine van Vredendaal Netherlands
Simona Samardjiska relative to Markus Schofnegger Austria Markus Schofnegger's profile →
Citations per field
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Markus Schofnegger · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 4
3 4
4 1
5 41
6 30
7 5
8 0
9
Linearity Measures for Multivariate Public Key Cryptography
1
10 5

About Simona Samardjiska

Simona Samardjiska is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Computational Theory and Mathematics, having authored 10 papers that have together received 93 indexed citations. Recurring topics across this work include Coding theory and cryptography (6 papers), Polynomial and algebraic computation (4 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Artificial Intelligence (78 citations), Hardware and Architecture (8 citations) and Computational Theory and Mathematics (15 citations). Simona Samardjiska has collaborated with scholars based in Netherlands, Norway and Germany. Frequent 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. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Designs Codes and Cryptography and IACR Transactions on Cryptographic Hardware and Embedded Systems.

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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