World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
8223
World Ranking
13358
National Ranking
5346

Manuel Egele 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 Manuel Egele 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: 103 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Manuel Egele 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 Manuel Egele 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: 31 D-Index — 6th percentile

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

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

Overview

Manuel Egele is affiliated with Boston University in the United States and has a significant body of work primarily in the field of computer science, with a focus on security, verification, and related subfields. Their research contributions encompass a range of topics including advanced malware detection techniques, network security and intrusion detection, software testing and debugging techniques, software engineering research, software system performance and reliability, and anomaly detection techniques and applications.

Their research output includes 46 publications within computer science, with notable subdivisions in artificial intelligence, information systems, computer networks and communications, software, and signal processing. This multidisciplinary approach illustrates a blend of theoretical and applied research in security and system reliability.

Several recent papers highlight their research contributions:

  • "Evocatio" (2022) published in the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • "A Cautionary Tale About Detecting Malware Using Hardware Performance Counters and Machine Learning" (2021) in IEEE Design and Test
  • "TargetFuzz" (2022) in the Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security
  • "Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning" (2024) published in IEEE Transactions on Parallel and Distributed Systems
  • "HotFuzz: Discovering Temporal and Spatial Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing" (2022) in ACM Transactions on Privacy and Security

Their frequent coauthors include Ajay Joshi, Sadullah Canakci, Burak Aksar, Benjamin Schwaller, and Omar Aaziz, reflecting ongoing collaborations in research projects spanning several publications.

Manuel Egele's work has appeared in various publication venues, underscoring a diverse dissemination of research results. These venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • IEEE Design and Test
  • Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security

Best Publications

  • A survey on automated dynamic malware-analysis techniques and tools

    Manuel Egele;Theodoor Scholte;Engin Kirda;Christopher Kruegel

  • Panorama: capturing system-wide information flow for malware detection and analysis

    Heng Yin;Dawn Song;Manuel Egele;Christopher Kruegel

  • PiOS : Detecting privacy leaks in iOS applications

    Manuel Egele

  • An empirical study of cryptographic misuse in android applications

    Manuel Egele;David Brumley;Yanick Fratantonio;Christopher Kruegel

  • Towards Automated Dynamic Analysis for Linux-based Embedded Firmware

    Daming D. Chen;Manuel Egele;Maverick Woo;David Brumley

  • The Art, Science, and Engineering of Fuzzing: A Survey

    Valentin J.M. Manes;HyungSeok Han;Choongwoo Han;Sang Kil Cha

  • COMPA: Detecting Compromised Accounts on Social Networks.

    Manuel Egele;Gianluca Stringhini;Christopher Krügel;Giovanni Vigna

  • Dynamic spyware analysis

    Manuel Egele;Christopher Kruegel;Engin Kirda;Heng Yin

  • Defending Browsers against Drive-by Downloads: Mitigating Heap-Spraying Code Injection Attacks

    Manuel Egele;Peter Wurzinger;Christopher Kruegel;Engin Kirda

  • PayBreak: Defense Against Cryptographic Ransomware

    Eugene Kolodenker;William Koch;Gianluca Stringhini;Manuel Egele

  • EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework

    Yinzhi Cao;Yanick Fratantonio;Antonio Bianchi;Manuel Egele

  • Follow the green: growth and dynamics in twitter follower markets

    Gianluca Stringhini;Gang Wang;Manuel Egele;Christopher Kruegel

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

    Lucas Davi;Alexandra Dmitrienko;Manuel Egele;Thomas Fischer

  • Towards Detecting Compromised Accounts on Social Networks

    Manuel Egele;Gianluca Stringhini;Christopher Kruegel;Giovanni Vigna

  • Blanket execution: dynamic similarity testing for program binaries and components

    Manuel Egele;Maverick Woo;Peter Chapman;David Brumley

  • A solution for the automated detection of clickjacking attacks

    Marco Balduzzi;Manuel Egele;Engin Kirda;Davide Balzarotti

  • Diagnosing Performance Variations in HPC Applications Using Machine Learning

    Ozan Tuncer;Emre Ates;Yijia Zhang;Ata Turk

  • Hardware Performance Counters Can Detect Malware: Myth or Fact?

    Boyou Zhou;Anmol Gupta;Rasoul Jahanshahi;Manuel Egele

  • Poultry markets: on the underground economy of twitter followers

    Gianluca Stringhini;Manuel Egele;Christopher Kruegel;Giovanni Vigna

  • EVILCOHORT: detecting communities of malicious accounts on online services

    Gianluca Stringhini;Pierre Mourlanne;Gregoire Jacob;Manuel Egele

  • EmailProfiler: Spearphishing Filtering with Header and Stylometric Features of Emails

    Sevtap Duman;Kubra Kalkan-Cakmakci;Manuel Egele;William Robertson

Frequent Co-Authors

Christopher Kruegel
Christopher Kruegel University of California, Santa Barbara
Gianluca Stringhini
Gianluca Stringhini Boston University
Engin Kirda
Engin Kirda Northeastern University
Giovanni Vigna
Giovanni Vigna University of California, Santa Barbara
Ayse K. Coskun
Ayse K. Coskun Boston University
William Robertson
William Robertson Northeastern University
Nick Nikiforakis
Nick Nikiforakis Stony Brook University
Thorsten Holz
Thorsten Holz Max Planck Institute for Security and Privacy
Ahmad-Reza Sadeghi
Ahmad-Reza Sadeghi Technical University of Darmstadt
Lucas Davi
Lucas Davi University of Duisburg-Essen

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 many career options—both on campus and online. Online degrees are especially attractive for those needing flexibility, affordability, or alternative admission criteria.

If you’re just starting out or seeking a fast, cost-effective route into the tech industry, consider an online associate degree. These programs can help you develop foundational skills and qualify for entry-level technology jobs.

Choosing the right advanced program is vital. You might wonder, what masters program should I do? Focus on programs that align with in-demand computer science roles like data science, cybersecurity, or software engineering.

Budget is a common concern for many students. Thankfully, there are affordable online colleges that offer accredited computer science programs without heavy financial burdens.

If you’re worried about past academic performance, don’t lose hope. Numerous online colleges that accept low gpa can provide opportunities for deserving candidates to launch their tech careers.

Best Scientists Citing Manuel Egele

Trending Scientists

Recently Published Articles