Elena Andreeva
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Signal Processing
- Computer Networks and Communications
- Information Systems
- Co-authors
- Bart PreneelBart MenninkOrr DunkelmanGregory NevenThomas ShrimptonJohn KelseyCharles BouillaguetJonathan J. Hoch
- Topics
- Cryptographic Implementations and Security (15 papers)Chaos-based Image/Signal Encryption (13 papers)Coding theory and cryptography (7 papers)
In The Last Decade
Elena Andreeva
21 papers receiving 91 citations
Peers
Comparison fields: 5 of 14
- Artificial Intelligence 84
- Computer Vision and Pattern Recognition 67
- Signal Processing 20
- Computer Networks and Communications 19
- Information Systems 13
Countries citing papers authored by Elena Andreeva
This map shows the geographic impact of Elena Andreeva'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 Elena Andreeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Andreeva more than expected).
Fields of papers citing papers by Elena Andreeva
This network shows the impact of papers produced by Elena Andreeva. 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 Elena Andreeva. The network helps show where Elena Andreeva may publish in the future.
Co-authorship network of co-authors of Elena Andreeva
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Andreeva. A scholar is included among the top collaborators of Elena Andreeva 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 Elena Andreeva. Elena Andreeva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | What the Fork: Implementation Aspects of a Forkcipher | 1 |
| 7 | 1 | |
| 8 | Security of Keyed Sponge Constructions Using a Modular Proof Approach | 4 |
| 9 | 13 | |
| 10 | How to Securely Release Unverified Plaintext in Authenticated Encryption | 2 |
| 11 | Parallelizable and Authenticated Online Ciphers | 0 |
| 12 | Security Analysis and Comparison of the SHA-3 Finalists BLAKE, Grøstl, JH, Keccak, and Skein | 1 |
| 13 | Provable Security of BLAKE with Non-Ideal Compression Function | 1 |
| 14 | 0 | |
| 15 | Provable Chosen-Target-Forced-Midfix Preimage Resistance | 1 |
| 16 | Security Reductions of the Second Round SHA-3 Candidates | 2 |
| 17 | 8 | |
| 18 | A Three-Property-Secure Hash Function | 0 |
| 19 | Seven-Property-Preserving Iterated Hashing: ROX | 16 |
| 20 | 1 |
About Elena Andreeva
Elena Andreeva is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 25 papers that have together received 104 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (15 papers), Chaos-based Image/Signal Encryption (13 papers) and Coding theory and cryptography (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (67 citations), Artificial Intelligence (84 citations) and Signal Processing (20 citations). Elena Andreeva has collaborated with scholars based in Belgium, Austria and Denmark. Frequent co-authors include Bart Preneel, Bart Mennink, Orr Dunkelman, Gregory Neven, Thomas Shrimpton, John Kelsey, Charles Bouillaguet, Jonathan J. Hoch, Sébastien Zimmer and Pierre-Alain Fouque. Their work appears in journals such as Lecture notes in computer science, International Journal of Modern Physics A and Journal of 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.