World's Best Scientists 2026 revealed!
Benedikt Gierlichs

Benedikt Gierlichs

D-Index & Metrics

Computer Science

D-Index
34
Citations
5971
World Ranking
12054
National Ranking
111

Benedikt Gierlichs 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 Benedikt Gierlichs 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: 79 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Benedikt Gierlichs 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 Benedikt Gierlichs 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

Benedikt Gierlichs is affiliated with KU Leuven in Belgium and has contributed extensively to the field of computer science, focusing on specialized areas such as artificial intelligence, hardware and architecture, signal processing, and computer vision and pattern recognition. Their publication record reflects a sustained engagement with these domains, particularly emphasizing the security and implementation aspects within computing.

Their principal fields of study include:

  • Computer Science

With a more detailed focus on subfields, the work covers:

  • Artificial Intelligence
  • Hardware and Architecture
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Benedikt Gierlichs's main research topics encompass a range of areas bridging cryptography, security, and machine learning techniques. These include:

  • Cryptographic Implementations and Security
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Malware Detection Techniques
  • Chaos-based Image/Signal Encryption
  • Security and Verification in Computing
  • Adversarial Robustness in Machine Learning
  • Anomaly Detection Techniques and Applications

Several frequent coauthors appear alongside their work, highlighting collaborative efforts in this research landscape. These include:

  • Lennert Wouters
  • Ingrid Verbauwhede
  • Bart Preneel
  • Josep Balasch
  • Víctor Arribas

Publication venues commonly featuring their work indicate the channels through which their research is disseminated:

  • IACR Transactions on Cryptographic Hardware and Embedded Systems
  • Lirias (KU Leuven)
  • IEEE Electron Device Letters
  • IEEE Embedded Systems Letters
  • ACM Transactions on Embedded Computing Systems

Recent papers authored or coauthored by Benedikt Gierlichs include:

  • "Revisiting a Methodology for Efficient CNN Architectures in Profiling Attacks," 2020, IACR Transactions on Cryptographic Hardware and Embedded Systems
  • "Revisiting a Methodology for Efficient CNN Architectures in Profiling Attacks," 2020, Lirias (KU Leuven)
  • "My other car is your car: compromising the Tesla Model X keyless entry system," 2021, IACR Transactions on Cryptographic Hardware and Embedded Systems
  • "Dismantling DST80-based Immobiliser Systems," 2020, IACR Transactions on Cryptographic Hardware and Embedded Systems
  • "Dismantling DST80-based Immobiliser Systems," 2020, Lirias (KU Leuven)

Best Publications

  • Mutual Information Analysis

    Benedikt Gierlichs;Lejla Batina;Pim Tuyls;Bart Preneel

  • Templates vs. stochastic methods

    Benedikt Gierlichs;Kerstin Lemke-Rust;Christof Paar

  • Mutual Information Analysis: a Comprehensive Study

    Lejla Batina;Benedikt Gierlichs;Emmanuel Prouff;Matthieu Rivain

  • Machine learning in side-channel analysis: a first study

    Gabriel Hospodar;Benedikt Gierlichs;Elke De Mulder;Ingrid Verbauwhede

  • The World is Not Enough: Another Look on Second-Order DPA

    François-Xavier Standaert;Nicolas Veyrat-Charvillon;Elisabeth Oswald;Benedikt Gierlichs

  • Mutual Information Analysis A Generic Side-Channel Distinguisher

    Benedikt Gierlichs;Lejla Batina;Pim Tuyls;Bart Preneel

  • Consolidating masking schemes.

    Oscar Reparaz;Begül Bilgin;Svetla Nikova;Benedikt Gierlichs

  • Higher-Order Threshold Implementations

    Begül Bilgin;Benedikt Gierlichs;Svetla Nikova;Ventzislav Nikov

  • An In-depth and Black-box Characterization of the Effects of Clock Glitches on 8-bit MCUs

    Josep Balasch;Benedikt Gierlichs;Ingrid Verbauwhede

  • On the Cost of Lazy Engineering for Masked Software Implementations.

    Josep Balasch;Benedikt Gierlichs;Vincent Grosso;Oscar Reparaz

  • Partition vs. Comparison Side-Channel Distinguishers: An Empirical Evaluation of Statistical Tests for Univariate Side-Channel Attacks against Two Unprotected CMOS Devices

    François-Xavier Standaert;Benedikt Gierlichs;Ingrid Verbauwhede

  • A More Efficient AES Threshold Implementation

    Begül Bilgin;Begül Bilgin;Benedikt Gierlichs;Svetla Nikova;Ventzislav Nikov

  • Revisiting a Methodology for Efficient CNN Architectures in Profiling Attacks

    Lennert Wouters;Victor Arribas;Benedikt Gierlichs;Bart Preneel

  • Infective Computation and Dummy Rounds: Fault Protection for Block Ciphers without Check-before-Output

    Benedikt Gierlichs;Joern-Marc Schmidt;Michael Tunstall

  • DPA, Bitslicing and Masking at 1 GHz.

    Josep Balasch;Benedikt Gierlichs;Oscar Reparaz;Ingrid Verbauwhede

  • Perfect Matching Disclosure Attacks

    Carmela Gonzalez Troncoso;Benedikt Gierlichs;Bart Preneel;Ingrid Verbauwhede

  • Trade-Offs for Threshold Implementations Illustrated on AES

    Begul Bilgin;Benedikt Gierlichs;Svetla Nikova;Ventzislav Nikov

  • Revisiting higher-order DPA attacks: multivariate mutual information analysis

    Benedikt Gierlichs;Lejla Batina;Bart Preneel;Ingrid Verbauwhede

  • Differential Cluster Analysis

    Lejla Batina;Benedikt Gierlichs;Kerstin Lemke-Rust

  • Power and Fault Analysis Resistance in Hardware through Dynamic Reconfiguration

    Nele Mentens;Benedikt Gierlichs;Ingrid Verbauwhede

  • Consolidating Masking Schemes

    Oscar Reparaz;Begul Bilgin;Benedikt Gierlichs;Svetla Nikova

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