World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5160
World Ranking
12143
National Ranking
412

Francesco Regazzoni publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Francesco Regazzoni sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 204 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Francesco Regazzoni D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Francesco Regazzoni sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Francesco Regazzoni is affiliated with the Polytechnic University of Milan in Italy. Their research is primarily situated in the field of Computer Science, with a notable concentration in Artificial Intelligence, Hardware and Architecture, Signal Processing, Information Systems, and Electrical and Electronic Engineering.

Their work spans several key topics, including:

  • Cryptographic Implementations and Security
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Malware Detection Techniques
  • Coding theory and cryptography
  • Security and Verification in Computing
  • Chaos-based Image/Signal Encryption
  • Cryptography and Data Security

Among their recent papers are:

  • Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning, 2021, CAAI Transactions on Intelligence Technology
  • EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms, 2021, arXiv (Cornell University)
  • The QARMAv2 Family of Tweakable Block Ciphers, 2023, IACR Transactions on Symmetric Cryptology
  • The Side-channel Metrics Cheat Sheet, 2022, ACM Computing Surveys
  • An Instruction Set Extension to Support Software-Based Masking, 2021, IACR Transactions on Cryptographic Hardware and Embedded Systems

Frequent co-authors who have contributed significantly alongside Regazzoni include Subhadeep Banik, Christian Pilato, Kostas Papagiannopoulos, Rosario Cammarota, and Shivam Bhasin.

The venues where Francesco Regazzoni commonly publishes reflect their research scope and include:

  • arXiv (Cornell University)
  • IACR Transactions on Symmetric Cryptology
  • CAAI Transactions on Intelligence Technology
  • ACM Computing Surveys
  • IACR Transactions on Cryptographic Hardware and Embedded Systems

Regazzoni has also contributed to book publications, notably with Springer Science+Business Media, with a title titled Constructive Side-Channel Analysis and Secure Design published in 2021.

Best Publications

  • Midori: A Block Cipher for Low Energy

    Subhadeep Banik;Andrey Bogdanov;Takanori Isobe;Kyoji Shibutani

  • Stealthy dopant-level hardware trojans

    Georg T. Becker;Francesco Regazzoni;Christof Paar;Wayne P. Burleson

  • Post-Quantum Lattice-Based Cryptography Implementations: A Survey

    Hamid Nejatollahi;Nikil Dutt;Sandip Ray;Francesco Regazzoni

  • The Curse of Class Imbalance and Conflicting Metrics with Machine Learning for Side-channel Evaluations

    Stjepan Picek;Annelie Heuser;Alan Jovic;Shivam Bhasin

  • Fresh re-keying: security against side-channel and fault attacks for low-cost devices

    Marcel Medwed;François-Xavier Standaert;Johann Großschädl;Francesco Regazzoni

  • ALE: AES-Based Lightweight Authenticated Encryption

    Andrey Bogdanov;Florian Mendel;Francesco Regazzoni;Vincent Rijmen

  • Architecture and applications of a high resolution gated SPAD image sensor

    Samuel Burri;Yuki Maruyama;Xavier Michalet;Francesco Regazzoni

  • Compact implementation and performance evaluation of block ciphers in ATtiny devices

    Thomas Eisenbarth;Zheng Gong;Tim Güneysu;Stefan Heyse

  • A survey on hardware trojan detection techniques

    Shivam Bhasin;Francesco Regazzoni

  • Countermeasures against fault attacks on software implemented AES: effectiveness and cost

    Alessandro Barenghi;Luca Breveglieri;Israel Koren;Gerardo Pelosi

  • Machine learning for fast and reliable solution of time-dependent differential equations

    Francesco Regazzoni;Luca Dedè;Alfio Quarteroni;Alfio Quarteroni

  • A first step towards automatic application of power analysis countermeasures

    Ali Galip Bayrak;Francesco Regazzoni;Philip Brisk;Francois-Xavier Standaert

  • Countermeasures against fault attacks on software implemented AES: effectiveness and cost

    Alessandro Barenghi;Luca Breveglieri;Israel Koren;Gerardo Pelosi

  • On Practical Discrete Gaussian Samplers for Lattice-Based Cryptography

    James Howe;Ayesha Khalid;Ciara Rafferty;Francesco Regazzoni

  • Sleuth: automated verification of software power analysis countermeasures

    Ali Galip Bayrak;Francesco Regazzoni;David Novo;Paolo Ienne

  • Stealthy dopant-level hardware Trojans: extended version

    Georg T. Becker;Francesco Regazzoni;Christof Paar;Christof Paar;Wayne P. Burleson

  • Exploring Energy Efficiency of Lightweight Block Ciphers

    Subhadeep Banik;Andrey Bogdanov;Francesco Regazzoni

  • Compact FPGA implementations of the five SHA-3 finalists

    Stéphanie Kerckhof;François Durvaux;Nicolas Veyrat-Charvillon;Francesco Regazzoni

  • A Design Flow and Evaluation Framework for DPA-Resistant Instruction Set Extensions

    Francesco Regazzoni;Alessandro Cevrero;François-Xavier Standaert;Stephane Badel

  • Securing Hardware Accelerators: A New Challenge for High-Level Synthesis

    Christian Pilato;Siddharth Garg;Kaijie Wu;Ramesh Karri

  • Breaking ECC2K-130

    DV Bailey;Lejla L Batina;DJ Daniel Bernstein;P Peter Birkner

  • Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers

    Madura A. Shelton;Niels Samwel;Lejla Batina;Francesco Regazzoni

  • Are cloud FPGAs really vulnerable to power analysis attacks

    Ognjen Glamocanin;Louis Coulon;Francesco Regazzoni;Mirjana Stojilovic

Frequent Co-Authors

Alfio Quarteroni
Alfio Quarteroni Polytechnic University of Milan
Ilia Polian
Ilia Polian University of Stuttgart
François-Xavier Standaert
François-Xavier Standaert Université Catholique de Louvain
Tim Güneysu
Tim Güneysu Ruhr University Bochum
Edoardo Charbon
Edoardo Charbon École Polytechnique Fédérale de Lausanne
Paolo Ienne
Paolo Ienne École Polytechnique Fédérale de Lausanne
Lejla Batina
Lejla Batina Radboud University
Thomas Eisenbarth
Thomas Eisenbarth University of Lübeck
Christof Paar
Christof Paar Max Planck Institute for Security and Privacy

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