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Computer Science
Germany
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
21666
World Ranking
1589
National Ranking
62

Thorsten Holz 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 Thorsten Holz 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: 262 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Thorsten Holz 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 Thorsten Holz 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: 73 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2025 - Research.com Computer Science in Germany Leader Award
  • 2023 - Research.com Computer Science in Germany Leader Award
  • 2022 - Research.com Computer Science in Germany Leader Award

Overview

Thorsten Holz is affiliated with Ruhr University Bochum in Germany and specializes in the field of Computer Science, with a focus on areas such as Artificial Intelligence, Information Systems, Signal Processing, Computer Vision and Pattern Recognition, and Software.

Their research covers various main topics including:

  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Software Testing and Debugging Techniques
  • Web Application Security Vulnerabilities
  • Software Engineering Research
  • Privacy, Security, and Data Protection
  • Spam and Phishing Detection

Thorsten Holz has published extensively, with recent papers including:

  • "Leveraging Frequency Analysis for Deep Fake Image Recognition," 2020, arXiv (Cornell University)
  • "JIT-Picking," 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection," 2023, arXiv (Cornell University)
  • "Reproducibility and Replicability of Web Measurement Studies," 2022, Proceedings of the ACM Web Conference 2022
  • "Cupid: Automatic Fuzzer Selection for Collaborative Fuzzing," 2020, Annual Computer Security Applications Conference

Their work frequently appears in the following publication venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Security & Privacy
  • Annual Computer Security Applications Conference
  • Proceedings on Privacy Enhancing Technologies

Thorsten Holz collaborates regularly with several researchers, including:

  • Lea Schönherr
  • Thorsten Eisenhofer
  • Jonas Ricker
  • Asja Fischer
  • Dorothea Kolossa

Best Publications

  • Toward Automated Dynamic Malware Analysis Using CWSandbox

    C. Willems;T. Holz;F. Freiling

  • Automatic analysis of malware behavior using machine learning

    Konrad Rieck;Philipp Trinius;Carsten Willems;Thorsten Holz_aff n

  • Learning and Classification of Malware Behavior

    Konrad Rieck;Thorsten Holz;Carsten Willems;Patrick Düssel

  • Measurements and mitigation of peer-to-peer-based botnets: a case study on storm worm

    Thorsten Holz;Moritz Steiner;Frederic Dahl;Ernst Biersack

  • Virtual Honeypots: From Botnet Tracking to Intrusion Detection

    Niels Provos;Thorsten Holz

  • Measuring and Detecting Fast-Flux Service Networks

    Thorsten Holz;Christian Gorecki;Konrad Rieck;Felix C. Freiling

  • Rishi: identify bot contaminated hosts by IRC nickname evaluation

    Jan Goebel;Thorsten Holz

  • The nepenthes platform : An efficient approach to collect malware

    Paul Baecher;Markus Koetter;Thorsten Holz;Maximillian Dornseif

  • Practical Timing Side Channel Attacks against Kernel Space ASLR

    R. Hund;C. Willems;T. Holz

  • A Practical Attack to De-anonymize Social Network Users

    Gilbert Wondracek;Thorsten Holz;Engin Kirda;Christopher Kruegel

  • Botnet tracking: exploring a root-cause methodology to prevent distributed denial-of-service attacks

    Felix C. Freiling;Thorsten Holz;Georg Wicherski

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

    Felix Schuster;Thomas Tendyck;Christopher Liebchen;Lucas Davi

  • (Un)informed Consent: Studying GDPR Consent Notices in the Field

    Christine Utz;Martin Degeling;Sascha Fahl;Florian Schaub

  • Return-oriented rootkits: bypassing kernel code integrity protection mechanisms

    Ralf Hund;Thorsten Holz;Felix C. Freiling

  • Cross-Architecture Bug Search in Binary Executables

    Jannik Pewny;Behrad Garmany;Robert Gawlik;Christian Rossow

  • Learning more about the underground economy: a case-study of keyloggers and dropzones

    Thorsten Holz;Markus Engelberth;Felix Freiling

  • REDQUEEN: Fuzzing with Input-to-State Correspondence.

    Cornelius Aschermann;Sergej Schumilo;Tim Blazytko;Robert Gawlik

  • Mobile Security Catching Up? Revealing the Nuts and Bolts of the Security of Mobile Devices

    Michael Becher;Felix C. Freiling;Johannes Hoffmann;Thorsten Holz

  • Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection

    Unknown

  • We Value Your Privacy... Now Take Some Cookies: Measuring the GDPR’s Impact on Web Privacy

    Martin Degeling;Christine Utz;Christopher Lentzsch;Henry Hosseini

  • Leveraging Frequency Analysis for Deep Fake Image Recognition

    Joel Frank;Thorsten Eisenhofer;Lea Schönherr;Dorothea Kolossa

  • Intelligent data analysis: keeping pace with technological advances

    Xiaohui Liu

Frequent Co-Authors

Felix C. Freiling
Felix C. Freiling University of Erlangen-Nuremberg
Ahmad-Reza Sadeghi
Ahmad-Reza Sadeghi Technical University of Darmstadt
Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Lucas Davi
Lucas Davi University of Duisburg-Essen
Herbert Bos
Herbert Bos Vrije Universiteit Amsterdam
Engin Kirda
Engin Kirda Northeastern University
Christian Rossow
Christian Rossow Saarland University
Cristiano Giuffrida
Cristiano Giuffrida Vrije Universiteit Amsterdam
Konrad Rieck
Konrad Rieck Technische Universität Braunschweig
Christof Paar
Christof Paar Max Planck Institute for Security and Privacy

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