World's Best Scientists 2026 revealed!
Claudia Diaz

Claudia Diaz

D-Index & Metrics

Computer Science

D-Index
33
Citations
6028
World Ranking
12505
National Ranking
115

Claudia Diaz 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 Claudia Diaz 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Claudia Diaz 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 Claudia Diaz 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Claudia Diaz is affiliated with KU Leuven in Belgium and has contributed extensively to the fields of computer science and medicine, focusing notably on areas such as artificial intelligence, computer networks and communications, and signal processing, alongside medical domains including cardiology and cardiovascular medicine.

Their research spans several core topics, including:

  • Internet Traffic Analysis and Secure E-voting
  • Network Security and Intrusion Detection
  • Advanced Malware Detection Techniques
  • Adversarial Robustness in Machine Learning
  • Smart Grid Security and Resilience
  • Privacy-Preserving Technologies in Data
  • VLSI and Analog Circuit Testing

Notable recent publications by Claudia Diaz include:

  • Less is More: A privacy-respecting Android malware classifier using federated learning, 2021, published in Proceedings on Privacy Enhancing Technologies
  • VerLoc: Verifiable Localization in Decentralized Systems, 2021, published in arXiv (Cornell University)
  • Mixnet optimization methods, 2022, published in Proceedings on Privacy Enhancing Technologies
  • Blending Different Latency Traffic With Beta Mixing, 2024, published in Proceedings on Privacy Enhancing Technologies

Their work has also appeared in other venues such as DOAJ (Directory of Open Access Journals), the Argentinian Journal of Respiratory & Physical Therapy, and Revista Colombiana de Neumología.

Frequent collaborators include Iness Ben Guirat, Lennart Oldenburg, Rafa Gálvez, Veelasha Moonsamy, and Nikita Borisov. These coauthors have worked alongside Claudia Diaz on multiple projects, contributing to areas related to privacy, security, and network protocols.

Claudia Diaz has published chapters in books from Springer Science+Business Media, such as Financial Cryptography and Data Security (2021), which has garnered citations within the academic community.

Their body of work integrates both theoretical and applied research with a focus on privacy-respecting methods, secure network systems, and advancements in malware detection leveraging federated learning approaches.

Best Publications

  • Towards measuring anonymity

    Claudia Díaz;Stefaan Seys;Joris Claessens;Bart Preneel

  • The Web Never Forgets: Persistent Tracking Mechanisms in the Wild

    Gunes Acar;Christian Eubank;Steven Englehardt;Marc Juarez

  • FPDetective: dusting the web for fingerprinters

    Gunes Acar;Marc Juarez;Nick Nikiforakis;Claudia Diaz

  • A Critical Evaluation of Website Fingerprinting Attacks

    Marc Juarez;Sadia Afroz;Gunes Acar;Claudia Diaz

  • Engineering Privacy by Design

    Seda Gürses;Carmela Troncoso;Claudia Diaz

  • Toward an Efficient Website Fingerprinting Defense

    Marc Juarez;Mohsen Imani;Mike Perry;Claudia Diaz

  • A Survey of Anonymous Communication Channels

    George Danezis;Claudia Diaz

  • Unraveling an old cloak: k-anonymity for location privacy

    Reza Shokri;Carmela Troncoso;Claudia Diaz;Julien Freudiger

  • Privacy-enabling social networking over untrusted networks

    Jonathan Anderson;Claudia Diaz;Joseph Bonneau;Frank Stajano

  • Taxonomy of Mixes and Dummy Traffic

    Claudia Diaz;Bart Preneel

  • OB-PWS: Obfuscation-Based Private Web Search

    E. Balsa;C. Troncoso;C. Diaz

  • A Survey on Routing in Anonymous Communication Protocols

    Fatemeh Shirazi;Milivoj Simeonovski;Muhammad Rizwan Asghar;Michael Backes

  • Computer Security – ESORICS 2011

    Vijay Atluri;Claudia Diaz

  • Two Tales of Privacy in Online Social Networks

    Seda Gurses;Claudia Diaz

  • Drac: an architecture for anonymous low-volume communications

    George Danezis;Claudia Diaz;Carmela Troncoso;Ben Laurie

  • Encrypted DNS –> Privacy? A Traffic Analysis Perspective

    Sandra Siby;Marc Juarez;Claudia Diaz;Narseo Vallina-Rodriguez

  • Two-sided statistical disclosure attack

    George Danezis;Claudia Diaz;Carmela Troncoso

  • Reasoning about the anonymity provided by pool mixes that generate dummy traffic

    Claudia Diaz;Bart Preneel

  • Inside Job: Applying Traffic Analysis to Measure Tor from Within

    Rob Jansen;Marc Juarez;Rafael Galvez;Tariq Elahi

  • On the Impact of Social Network Profiling on Anonymity

    Claudia Diaz;Carmela Troncoso;Andrei Serjantov

Frequent Co-Authors

George Danezis
George Danezis University College London
Bart Preneel
Bart Preneel KU Leuven
Markulf Kohlweiss
Markulf Kohlweiss University of Edinburgh
Mohsen Imani
Mohsen Imani University of California, San Diego
Alessandro Acquisti
Alessandro Acquisti Carnegie Mellon University
Sebastian Faust
Sebastian Faust Technical University of Darmstadt
Paul Syverson
Paul Syverson United States Naval Research Laboratory
Claude Castelluccia
Claude Castelluccia French Institute for Research in Computer Science and Automation - INRIA

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