World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
9993
World Ranking
8244
National Ranking
3534

Gary McGraw 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 Gary McGraw 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: 163 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Gary McGraw 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 Gary McGraw 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Gary McGraw is affiliated with Synopsys in the United States and has contributed to fields primarily within engineering and computer science. Their work spans multiple subfields, including aerospace engineering, electrical and electronic engineering, artificial intelligence, computer networks and communications, and astronomy and astrophysics.

The research topics covered by Gary McGraw include:

  • Power Line Communications and Noise
  • Air Traffic Management and Optimization
  • GNSS Positioning and Interference
  • Ionosphere and Magnetosphere Dynamics
  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Ethics and Social Impacts of AI

The scientist has published papers in reputable venues, frequently contributing to:

  • Proceedings of the Satellite Division's International Technical Meeting (Online)/Proceedings of the Satellite Division's International Technical Meeting (CD-ROM)
  • Computer
  • Proceedings of the Institute of Navigation... International Technical Meeting/Proceedings of the... International Technical Meeting of The Institute of Navigation

Recent papers from Gary McGraw include:

  • "The Top 10 Risks of Machine Learning Security," 2020, Computer
  • "LDACS APNT Protocol and Measurement Signal Processing Architecture," 2023, Proceedings of the Institute of Navigation... International Technical Meeting/Proceedings of the... International Technical Meeting of The Institute of Navigation

Other related papers in collaborative environments include works not authored by Gary McGraw but related to similar fields, reflecting interdisciplinary interaction within the community.

Frequent collaborators working with Gary McGraw include:

  • Gianluca Zampieri
  • Okuary Osechas
  • Richie Bonett
  • Harold Figueroa
  • Brandon Weaver

These collaborations suggest active involvement in projects requiring diverse technical expertise, particularly in aerospace and communication systems.

Best Publications

  • Software Security: Building Security In

    Gary McGraw

  • Software security

    G. McGraw

  • ITS4: a static vulnerability scanner for C and C++ code

    J. Viega;J.T. Bloch;Y. Kohno;G. McGraw

  • Security as a new dimension in embedded system design

    Paul Kocher;Ruby Lee;Gary McGraw;Anand Raghunathan

  • Generating Software Test Data by Evolution

    Unknown

  • Building Secure Software: How to Avoid Security Problems the Right Way

    John Viega;Gary McGraw

  • Static analysis for security

    B. Chess;G. McGraw

  • Software fault injection: inoculating programs against errors

    Jeffrey M. Voas;Gary McGraw

  • Exploiting Software: How to Break Code

    Greg Hoglund;Gary McGraw

  • Attacking Malicious Code: A Report to the Infosec Research Council

    Gary McGraw;Greg Morrisett

  • Securing Java: getting down to business with mobile code

    Gary McGraw;Edward W. Felten

  • Software penetration testing

    B. Arkin;S. Stender;G. McGraw

  • Java security: hostile applets, holes&antidotes

    Gary McGraw;Edward W. Felten

  • Software security testing

    B. Potter;G. McGraw

  • Seven pernicious kingdoms: a taxonomy of software security errors

    K. Tsipenyuk;B. Chess;G. McGraw

  • Risk analysis in software design

    D. Verdon;G. McGraw

  • Building Secure Software: How to Avoid Security Problems the Right Way (paperback) (Addison-wesley Professional Computing Series)

    John Viega;Gary McGraw

  • Software Security Engineering

    Julia H. Allen;Sean Barnum;Robert J. Ellison;Gary McGraw

  • Genetic algorithms for dynamic test data generation

    Unknown

  • Misuse and abuse cases: getting past the positive

    P. Hope;G. McGraw;A.I. Anton

  • Software Security Engineering: A Guide for Project Managers

    Julia Allen;Sean Barnum;Robert Ellison;Gary McGraw

  • Cyber War is Inevitable (Unless We Build Security In)

    Gary McGraw

Frequent Co-Authors

Jeffrey Voas
Jeffrey Voas National Institute of Standards and Technology
Edward W. Felten
Edward W. Felten Princeton University
Ross Anderson
Ross Anderson University of Cambridge
Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Ruby B. Lee
Ruby B. Lee Princeton University
Tadayoshi Kohno
Tadayoshi Kohno University of Washington
Annie I. Antón
Annie I. Antón Georgia Institute of Technology
Kevin Sullivan
Kevin Sullivan University of Virginia
Greg Morrisett
Greg Morrisett Cornell University
Simson L. Garfinkel
Simson L. Garfinkel United States Census Bureau

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Related Online Degrees & Career Pathways

Exploring online education opens up a range of flexible and affordable pathways for students interested in Computer Science, tech, and related fields. Many universities now offer cheap online colleges where you can earn your bachelor’s degree without taking on excessive debt, making these programs accessible to a wider audience.

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Not all Computer Science paths lead strictly to programming or engineering—fields like information management and digital resources are also growing. If you’re drawn to information science, a mlis (Master of Library and Information Science) is another in-demand degree, equipping graduates for roles in data management, archives, and digital libraries.

With so many affordable and flexible online options, students can find a pathway that best fits their career goals and personal circumstances.

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