Fabrizio De Santis

542 total citations
21 papers, 173 citations indexed

About

Fabrizio De Santis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Fabrizio De Santis has authored 21 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Fabrizio De Santis's work include Cryptographic Implementations and Security (17 papers), Chaos-based Image/Signal Encryption (12 papers) and Cryptography and Residue Arithmetic (8 papers). Fabrizio De Santis is often cited by papers focused on Cryptographic Implementations and Security (17 papers), Chaos-based Image/Signal Encryption (12 papers) and Cryptography and Residue Arithmetic (8 papers). Fabrizio De Santis collaborates with scholars based in Germany, Italy and United States. Fabrizio De Santis's co-authors include Georg Sigl, Johann Heyszl, Alessandro Barenghi, Giovanni Agosta, Gerardo Pelosi, Jens-Peter Kaps, Matthias Hiller, Andrea Di Biagio, Dominik Merli and Stefan Tillich and has published in prestigious journals such as IEEE Transactions on Computers, ACM Transactions on Embedded Computing Systems and Microprocessors and Microsystems.

In The Last Decade

Fabrizio De Santis

19 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrizio De Santis Germany 8 130 75 56 47 35 21 173
Carlos Andres Lara-Nino Mexico 5 177 1.4× 87 1.2× 100 1.8× 63 1.3× 31 0.9× 9 225
Ajoy Kumar Khan India 8 89 0.7× 71 0.9× 42 0.8× 80 1.7× 20 0.6× 59 199
Joost Rijneveld Netherlands 4 141 1.1× 50 0.7× 51 0.9× 29 0.6× 26 0.7× 6 196
Jean-Philippe Aumasson Switzerland 6 136 1.0× 32 0.4× 65 1.2× 27 0.6× 24 0.7× 11 168
Geovandro C. C. F. Pereira Brazil 8 92 0.7× 80 1.1× 31 0.6× 64 1.4× 10 0.3× 9 161
Gunnar Gaubatz United States 5 147 1.1× 75 1.0× 46 0.8× 122 2.6× 36 1.0× 8 242
Lejla Batina Belgium 5 154 1.2× 114 1.5× 17 0.3× 68 1.4× 23 0.7× 8 209
Bertram Poettering United Kingdom 7 151 1.2× 67 0.9× 37 0.7× 50 1.1× 9 0.3× 24 180
Johann Heyszl Germany 7 122 0.9× 43 0.6× 40 0.7× 18 0.4× 65 1.9× 19 147
Dong‐Guk Han South Korea 8 194 1.5× 58 0.8× 102 1.8× 21 0.4× 73 2.1× 58 237

Countries citing papers authored by Fabrizio De Santis

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio De Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fabrizio De Santis. 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 Fabrizio De Santis. The network helps show where Fabrizio De Santis may publish in the future.

Co-authorship network of co-authors of Fabrizio De Santis

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

All Works

20 of 20 papers shown
1.
Bhasin, Shivam, Fabrizio De Santis, & Francesco Regazzoni. (2024). Special Issue on Post-Quantum Cryptography for Embedded Systems. ACM Transactions on Embedded Computing Systems. 23(2). 1–3.
2.
Santis, Fabrizio De, et al.. (2023). Forging Dilithium and Falcon Signatures by Single Fault Injection. 81–88. 1 indexed citations
3.
Santis, Fabrizio De, et al.. (2023). An Efficient Barrett Reduction Algorithm for Gaussian Integer Moduli. 76–83.
4.
Santis, Fabrizio De, et al.. (2022). Efficient Reduction Algorithms for Special Gaussian Integer Moduli. 111–119. 1 indexed citations
5.
Santis, Fabrizio De, et al.. (2018). Fast FPGA Implementations of Diffie-Hellman on the Kummer Surface of a Genus-2 Curve. IACR Transactions on Cryptographic Hardware and Embedded Systems. 1–17. 2 indexed citations
6.
Santis, Fabrizio De, et al.. (2018). The CAESAR-API in the real world — Towards a fair evaluation of hardware CAESAR candidates. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 73–80. 5 indexed citations
7.
Santis, Fabrizio De, et al.. (2017). Post-Quantum Key Exchange on ARMv8-A: A New Hope for NEON Made Simple. IEEE Transactions on Computers. 67(11). 1651–1662. 20 indexed citations
8.
Santis, Fabrizio De, et al.. (2017). ChaCha20-Poly1305 authenticated encryption for high-speed embedded IoT applications. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 692–697. 49 indexed citations
9.
Santis, Fabrizio De, et al.. (2017). Side-channel leakage aware instruction scheduling. 7–12. 5 indexed citations
10.
Santis, Fabrizio De, et al.. (2017). Low-latency X25519 hardware implementation: breaking the 100 microseconds barrier. Microprocessors and Microsystems. 52. 491–497. 16 indexed citations
11.
Heyszl, Johann, et al.. (2016). A Cautionary Note. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 7–12. 4 indexed citations
12.
Santis, Fabrizio De, et al.. (2016). X25519 Hardware Implementation for Low-Latency Applications. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 99–106. 16 indexed citations
13.
Santis, Fabrizio De, et al.. (2016). Hiding Higher-Order Univariate Leakages by Shuffling Polynomial Masking Schemes. 17–26. 2 indexed citations
14.
Santis, Fabrizio De, et al.. (2016). An area-optimized serial implementation of ICEPOLE authenticated encryption schemes. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 49–54. 3 indexed citations
15.
Santis, Fabrizio De & Georg Sigl. (2016). Towards Side-Channel Protected X25519 on ARM Cortex-M4 Processors. 11 indexed citations
16.
Belaïd, Sonia, Fabrizio De Santis, Johann Heyszl, et al.. (2014). Towards fresh re-keying with leakage-resilient PRFs: cipher design principles and analysis. Journal of Cryptographic Engineering. 11 indexed citations
17.
Hiller, Matthias, Fabrizio De Santis, Dominik Merli, & Georg Sigl. (2012). Reliability bound and channel capacity of IBS-based fuzzy embedders. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3027. 213–220. 3 indexed citations
18.
Barenghi, Alessandro, et al.. (2011). On the Efficiency of Design Time Evaluation of the Resistance to Power Attacks. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 3156. 777–785. 1 indexed citations
19.
Agosta, Giovanni, Alessandro Barenghi, Fabrizio De Santis, & Gerardo Pelosi. (2010). Record Setting Software Implementation of DES Using CUDA. Aisberg (University of Bergamo). 57. 748–755. 13 indexed citations
20.
Agosta, Giovanni, Alessandro Barenghi, Fabrizio De Santis, Andrea Di Biagio, & Gerardo Pelosi. (2009). Fast Disk Encryption through GPGPU Acceleration. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 37. 102–109. 7 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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