World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10308
World Ranking
6767
National Ranking
322

Frank Kargl 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 Frank Kargl 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: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Frank Kargl 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 Frank Kargl 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Frank Kargl is affiliated with the University of Ulm in Germany and has contributed extensively to the field of computer science with a focus on topics such as advanced malware detection techniques, access control and trust, network security and intrusion detection, privacy and data protection, and safety systems engineering in autonomy. Their research spans the intersection of technical and social sciences, reflecting their involvement in areas including artificial intelligence, computer networks and communications, sociology and political science, signal processing, and information systems.

The scientist's recent publications cover a range of subjects related to privacy, security, and network technologies. Some notable papers include:

  • "Online Privacy Literacy and Online Privacy Behavior - The Role of Crystallized Intelligence and Personality" (2021) published in the International Journal of Human-Computer Interaction
  • "Risk Prediction of IoT Devices Based on Vulnerability Analysis" (2022) from ACM Transactions on Privacy and Security
  • "Context-based Access Control and Trust Scores in Zero Trust Campus Networks" (2020) presented at Gesellschaft für Informatik (GI)
  • "ZTSFC: A Service Function Chaining-Enabled Zero Trust Architecture" (2023) published in IEEE Access
  • "Survey of Model-Based Security Testing Approaches in the Automotive Domain" (2023) also in IEEE Access

Frank Kargl frequently publishes in venues such as arXiv (Cornell University), IEEE Access, ACM Transactions on Privacy and Security, Proceedings on Privacy Enhancing Technologies, and the International Journal of Human-Computer Interaction. Their active engagement in these venues indicates a focus on both theoretical and applied aspects of privacy and security research.

Collaboration plays an important role in their research activities, with frequent co-authors including Felix Engelmann, Christoph Bösch, Leonard Bradatsch, Benjamin Erb, and Pascal Oser. These partnerships reflect shared research interests and contributions in related subfields.

Their work emphasizes a multi-disciplinary approach with significant contributions to both the technical and social dimensions of security and privacy. The diversity of research topics further includes internet traffic analysis, secure e-voting, and privacy-preserving technologies in data management, illustrating an engagement with current challenges in cybersecurity and data protection.

Best Publications

  • Secure vehicular communication systems: design and architecture

    P. Papadimitratos;L. Buttyan;T. Holczer;E. Schoch

  • Pseudonym Schemes in Vehicular Networks: A Survey

    Jonathan Petit;Florian Schaub;Michael Feiri;Frank Kargl

  • Communication patterns in VANETs

    E. Schoch;F. Kargl;M. Weber;T. Leinmuller

  • Secure vehicular communication systems: implementation, performance, and research challenges

    F. Kargl;P. Papadimitratos;L. Buttyan;M. Muter

  • Tales from the Dark Side: Privacy Dark Strategies and Privacy Dark Patterns

    Christoph Bösch;Benjamin Erb;Frank Kargl;Henning Kopp

  • Architecture for Secure and Private Vehicular Communications

    P. Papadimitratos;L. Buttyan;J.-P. Hubaux;F. Kargl

  • Privacy in inter-vehicular networks: Why simple pseudonym change is not enough

    Bjorn Wiedersheim;Zhendong Ma;Frank Kargl;Panos Papadimitratos

  • Exploration of adaptive beaconing for efficient intervehicle safety communication

    R. Schmidt;T. Leinmuller;E. Schoch;F. Kargl

  • Protecting web servers from distributed denial of service attacks

    Frank Kargl;Joern Maier;Michael Weber

  • Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

    Rens Wouter van der Heijden;Stefan Dietzel;Tim Leinmuller;Frank Kargl

  • POSITION VERIFICATION APPROACHES FOR VEHICULAR AD HOC NETWORKS

    T. Leinmuller;E. Schoch;F. Kargl

  • What You Corrupt Is Not What You Crash: Challenges in Fuzzing Embedded Devices.

    Marius Muench;Jan Stijohann;Frank Kargl;Aurelien Francillon

  • A VANET-based emergency vehicle warning system

    Andreas Buchenscheit;Florian Schaub;Frank Kargl;Michael Weber

  • Sequence-aware Intrusion Detection in Industrial Control Systems

    Marco Caselli;Emmanuele Zambon;Frank Kargl

  • Improved security in geographic ad hoc routing through autonomous position verification

    Tim Leinmüller;Christian Maihöfer;Elmar Schoch;Frank Kargl

  • Advanced detection of selfish or malicious nodes in ad hoc networks

    Frank Kargl;Andreas Klenk;Stefan Schlott;Michael Weber

  • VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

    Rens Wouter Van der Heijden;Thomas Lukaseder;Frank Kargl

  • VeReMi Extension: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs

    Joseph Kamel;Michael Wolf;Rens Wouter van Der Heijden;Arnaud Kaiser

  • Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems

    Rens W. van der Heijden;Stefan Dietzel;Tim Leinmüller;Frank Kargl

  • Privacy and Identity Management for Vehicular Communication Systems: a Position Paper

    Panagiotis Papadimitratos;Antonio Kung;Jean-Pierre Hubaux;Frank Kargl

  • Impact of pseudonym changes on geographic routing in VANETs

    Elmar Schoch;Frank Kargl;Tim Leinmüller;Stefan Schlott

  • Securing ad hoc routing protocols

    F. Kargl;S. Schlott;A. Klenk;A. Geiss

Frequent Co-Authors

Michael Weber
Michael Weber University of Ulm
Florian Schaub
Florian Schaub University of Michigan–Ann Arbor
Falko Dressler
Falko Dressler Technical University of Berlin
Levente Buttyán
Levente Buttyán Budapest University of Technology and Economics
Panos Papadimitratos
Panos Papadimitratos Royal Institute of Technology
Marc Dacier
Marc Dacier King Abdullah University of Science and Technology
Jean-Pierre Hubaux
Jean-Pierre Hubaux École Polytechnique Fédérale de Lausanne
Christian Waldschmidt
Christian Waldschmidt University of Ulm
Javier Gozalvez
Javier Gozalvez Miguel Hernandez University
Ozan K. Tonguz
Ozan K. Tonguz Carnegie Mellon 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

Exploring Computer Science in the USA opens doors to a wide variety of online degree programs and career avenues. Many students seek flexible, affordable pathways to build their expertise, with disciplines like data science, criminal justice, and accounting showcasing similar options.

If you’re interested in bridging technology with law and public service, consider an affordable online criminal justice degree. For those drawn to the analytical side of business, there are also cheapest accredited online accounting degree options available that provide flexibility and solid job prospects.

Students aiming to specialize in data-driven roles may explore the cheapest masters in data science programs, which often complement a background in computer science or engineering. Additionally, if you’re looking to advance rapidly in a growing industry, an accelerated construction management degree online can provide the credentials and knowledge to get started quickly.

These online degree options make it easier to create a personalized educational journey and access diverse, rewarding career pathways beyond traditional computer science roles.

Best Scientists Citing Frank Kargl

Trending Scientists

Recently Published Articles