World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6231
World Ranking
12952
National Ranking
243

Juan Caballero 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 Juan Caballero 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: 85 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.

Juan Caballero 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 Juan Caballero 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Juan Caballero is affiliated with the Madrid Institute for Advanced Studies in Spain. Their research primarily focuses on the domain of Computer Science, with a specialization in various subfields such as Information Systems, Signal Processing, Artificial Intelligence, Computer Networks and Communications, and Software.

The main topics covered in their work include Advanced Malware Detection Techniques, Network Security and Intrusion Detection, Spam and Phishing Detection, Internet Traffic Analysis and Secure E-voting, Software Engineering Research, Cybercrime and Law Enforcement Studies, and Authorship Attribution and Profiling.

Juan Caballero's recent publications include:

  • "A Survey of Binary Code Similarity," 2021, ACM Computing Surveys
  • "AVclass2: Massive Malware Tag Extraction from AV Labels," 2020, Annual Computer Security Applications Conference
  • "AVClass2: Massive Malware Tag Extraction from AV Labels," 2020, arXiv (Cornell University)
  • "The Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools," 2023, Future Generation Computer Systems
  • "Watch Your Back," 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Frequent co-authors in Caballero's research include Silvia Sebastián, Platon Kotzias, Gibran Gómez, Leyla Bilge, and Matteo Dell'Amico. Their collaboration with these co-authors reflects recurring engagement in network security, malware analysis, and related topics.

Juan Caballero has contributed to multiple publication venues, including arXiv (Cornell University), Annual Computer Security Applications Conference, ACM Computing Surveys, Future Generation Computer Systems, and the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. The distribution of publications indicates a strong presence in both peer-reviewed conferences and preprint archives.

Best Publications

  • BitBlaze: A New Approach to Computer Security via Binary Analysis

    Dawn Song;David Brumley;Heng Yin;Juan Caballero

  • Polyglot: automatic extraction of protocol message format using dynamic binary analysis

    Juan Caballero;Heng Yin;Zhenkai Liang;Dawn Song

  • AVclass : A Tool for Massive Malware Labeling

    Marcos Sebastián;Richard Rivera;Richard Rivera;Platon Kotzias;Platon Kotzias;Juan Caballero

  • An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.

    Catherine A. Brownstein;Alan H. Beggs;Nils Homer;Barry Merriman

  • Measuring pay-per-install: the commoditization of malware distribution

    Juan Caballero;Chris Grier;Christian Kreibich;Vern Paxson

  • Dispatcher: enabling active botnet infiltration using automatic protocol reverse-engineering

    Juan Caballero;Pongsin Poosankam;Christian Kreibich;Dawn Song

  • Manufacturing compromise: the emergence of exploit-as-a-service

    Chris Grier;Lucas Ballard;Juan Caballero;Neha Chachra

  • KAVIAR: an accessible system for testing SNV novelty

    Gustavo Glusman;Juan Caballero;Denise E. Mauldin;Leroy E. Hood

  • Undangle: early detection of dangling pointers in use-after-free and double-free vulnerabilities

    Juan Caballero;Gustavo Grieco;Mark Marron;Antonio Nappa

  • Binary Code Extraction and Interface Identification for Security Applications

    Juan Caballero;Noah M. Johnson;Stephen McCamant;Dawn Song

  • The Attack of the Clones: A Study of the Impact of Shared Code on Vulnerability Patching

    Antonio Nappa;Richard Johnson;Leyla Bilge;Juan Caballero

  • Towards automatic discovery of deviations in binary implementations with applications to error detection and fingerprint generation

    David Brumley;Juan Caballero;Zhenkai Liang;James Newsome

  • Secure Content Sniffing for Web Browsers, or How to Stop Papers from Reviewing Themselves

    Adam Barth;Juan Caballero;Dawn Song

  • Insights from the inside: a view of botnet management from infiltration

    Chia Yuan Cho;Juan Caballero;Chris Grier;Vern Paxson

  • FIRMA: Malware Clustering and Network Signature Generation with Mixed Network Behaviors

    M. Zubair Rafique;Juan Caballero

  • A Survey of Binary Code Similarity

    Irfan Ul Haq;Juan Caballero

  • Driving in the cloud: an analysis of drive-by download operations and abuse reporting

    Antonio Nappa;M. Zubair Rafique;Juan Caballero

  • AVclass2: Massive Malware Tag Extraction from AV Labels

    Silvia Sebastián;Juan Caballero

  • The MALICIA dataset: identification and analysis of drive-by download operations

    Antonio Nappa;M. Zubair Rafique;Juan Caballero

  • Automatic protocol reverse-engineering: Message format extraction and field semantics inference

    Juan Caballero;Dawn Song

  • Differential Slicing: Identifying Causal Execution Differences for Security Applications

    Noah M. Johnson;Juan Caballero;Kevin Zhijie Chen;Stephen McCamant

  • A Lustrum of Malware Network Communication: Evolution and Insights

    Chaz Lever;Platon Kotzias;Davide Balzarotti;Juan Caballero

  • The Attack of the Clones: A Study of the Impact of Shared Code on Vulnerability Patching

    Richard Johnson;Antonio Nappa;Leyla Bilge;Juan Caballero

Frequent Co-Authors

Dawn Song
Dawn Song University of California, Berkeley
Gwênlyn Glusman
Gwênlyn Glusman Institute for Systems Biology
Leroy Hood
Leroy Hood University of Washington
Zhenkai Liang
Zhenkai Liang National University of Singapore
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Nathan D. Price
Nathan D. Price University of Illinois at Urbana-Champaign
Vern Paxson
Vern Paxson University of California, Berkeley
David A. Ray
David A. Ray Texas Tech University
Anna Wedell
Anna Wedell Karolinska University Hospital

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