World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9050
World Ranking
10021
National Ranking
503

Lucas Davi 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 Lucas Davi 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: 92 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Lucas Davi 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 Lucas Davi 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Lucas Davi is affiliated with the University of Duisburg-Essen in Germany. Their research contributions predominantly lie within the domain of Computer Science, with a particular focus on security and software engineering topics.

Their work spans several subfields of study, including:

  • Artificial Intelligence
  • Signal Processing
  • Information Systems
  • Materials Chemistry
  • Software

Lucas Davi's research covers a range of topics reflecting both foundational and applied aspects of computing and security:

  • Security and Verification in Computing
  • Advanced Malware Detection Techniques
  • Diamond and Carbon-based Materials Research
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Blockchain Technology Applications and Security
  • Cloud Data Security Solutions

Their recent publications include:

  • EVMPatch: Timely and Automated Patching of Ethereum Smart Contracts, 2020, arXiv (Cornell University)
  • TeeRex: Discovery and Exploitation of Memory Corruption Vulnerabilities in SGX Enclaves, 2020, arXiv (Cornell University)
  • HCC: A Language-Independent Hardening Contract Compiler for Smart Contracts, 2022, arXiv (Cornell University)
  • ClepsydraCache -- Preventing Cache Attacks with Time-Based Evictions, 2021, arXiv (Cornell University)

These publications reflect an emphasis on software security, particularly in the areas of smart contract hardening, vulnerability discovery in enclave technologies, and mitigation of cache-based side-channel attacks.

Lucas Davi frequently collaborates with several coauthors, including:

  • Michael Rodler
  • Ghassan Karame
  • Jens-Rene Giesen
  • Tobias Cloosters
  • Sebastian Surminski

In terms of publication venues, the majority of their work appears in:

  • arXiv (Cornell University)
  • Behaviour and Information Technology
  • Lecture notes in computer science
  • IEEE Security & Privacy
  • Proceedings of the ACM on software engineering.

Best Publications

  • Return-oriented programming without returns

    Stephen Checkoway;Lucas Davi;Alexandra Dmitrienko;Ahmad-Reza Sadeghi

  • Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization

    K. Z. Snow;F. Monrose;L. Davi;A. Dmitrienko

  • Privilege escalation attacks on android

    Lucas Davi;Alexandra Dmitrienko;Ahmad-Reza Sadeghi;Marcel Winandy

  • Towards Taming Privilege-Escalation Attacks on Android

    Sven Bugiel;Lucas Davi;Alexandra Dmitrienko;Thomas Fischer

  • Counterfeit Object-oriented Programming: On the Difficulty of Preventing Code Reuse Attacks in C++ Applications

    Felix Schuster;Thomas Tendyck;Christopher Liebchen;Lucas Davi

  • Stitching the gadgets: on the ineffectiveness of coarse-grained control-flow integrity protection

    Lucas Davi;Ahmad-Reza Sadeghi;Daniel Lehmann;Fabian Monrose

  • ROPdefender: a detection tool to defend against return-oriented programming attacks

    Lucas Davi;Ahmad-Reza Sadeghi;Marcel Winandy

  • The Cybersecurity Landscape in Industrial Control Systems

    Stephen McLaughlin;Charalambos Konstantinou;Xueyang Wang;Lucas Davi

  • XManDroid: A New Android Evolution to Mitigate Privilege Escalation Attacks

    Sven Bugiel;Lucas Davi;Alexandra Dmitrienko;Thomas Fischer

  • C-FLAT: Control-Flow Attestation for Embedded Systems Software

    Tigist Abera;N. Asokan;Lucas Davi;Jan-Erik Ekberg

  • Readactor: Practical Code Randomization Resilient to Memory Disclosure

    Stephen Crane;Christopher Liebchen;Andrei Homescu;Lucas Davi

  • Practical and lightweight domain isolation on Android

    Sven Bugiel;Lucas Davi;Alexandra Dmitrienko;Stephan Heuser

  • Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

    Michael Rodler;Wenting Li;Ghassan O. Karame;Lucas Davi

  • Isomeron: Code Randomization Resilient to (Just-In-Time) Return-Oriented Programming

    Lucas Davi;Christopher Liebchen;Ahmad-Reza Sadeghi;Kevin Z. Snow

  • MoCFI: A Framework to Mitigate Control-Flow Attacks on Smartphones

    Lucas Davi;Alexandra Dmitrienko;Manuel Egele;Thomas Fischer

  • HAFIX: hardware-assisted flow integrity extension

    Lucas Davi;Matthias Hanreich;Debayan Paul;Ahmad-Reza Sadeghi

  • Dynamic integrity measurement and attestation: towards defense against return-oriented programming attacks

    Lucas Davi;Ahmad-Reza Sadeghi;Marcel Winandy

  • Losing Control: On the Effectiveness of Control-Flow Integrity under Stack Attacks

    Mauro Conti;Stephen Crane;Lucas Davi;Michael Franz

  • It's a TRaP: Table Randomization and Protection against Function-Reuse Attacks

    Stephen J. Crane;Stijn Volckaert;Felix Schuster;Christopher Liebchen

  • Hardware-Assisted Fine-Grained Control-Flow Integrity: Towards Efficient Protection of Embedded Systems Against Software Exploitation

    Lucas Davi;Patrick Koeberl;Ahmad-Reza Sadeghi

  • Just-In-Time Code Reuse: On the Effectiveness of Fine-Grained Address Space Layout Randomization (best student paper award)

    Kevin Z. Snow;Lucas Davi;Alexandra Dmitrienko;Christopher Liebchen

Frequent Co-Authors

Ahmad-Reza Sadeghi
Ahmad-Reza Sadeghi Technical University of Darmstadt
Thorsten Holz
Thorsten Holz Max Planck Institute for Security and Privacy
Nadarajah Asokan
Nadarajah Asokan University of Waterloo
Michael Franz
Michael Franz University of California, Irvine
Fabian Monrose
Fabian Monrose University of North Carolina at Chapel Hill
Ghassan O. Karame
Ghassan O. Karame Ruhr University Bochum
Yier Jin
Yier Jin University of Florida
Jan-Erik Ekberg
Jan-Erik Ekberg Aalto University
Gene Tsudik
Gene Tsudik University of California, Irvine
Manuel Egele
Manuel Egele Boston University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a range of related online degrees and evolving career paths. Many students consider interdisciplinary fields or look for affordable programs that offer strong job prospects.

For those interested in security or law enforcement technology, the cheapest online phd in criminal justice can complement a computer science background with expertise in digital forensics or cybersecurity policy.

If you’re drawn to technology’s role in finance, the cheapest accredited online accounting degree lets you apply computer science skills to areas like financial analytics and auditing automation.

Data science is one of the fastest-growing fields linked to computer science. Explore the best data science master's programs to gain specialized knowledge in big data, machine learning, and AI.

Additionally, tech-driven industries such as construction seek graduates with management and computing skills. The best 2 year construction management degree online prepares students for leadership roles in this high-demand sector.

Best Scientists Citing Lucas Davi

Trending Scientists