World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
15821
World Ranking
2610
National Ranking
1297

Ruby B. Lee 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 Ruby B. Lee 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Ruby B. Lee 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 Ruby B. Lee 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: 64 D-Index — 82nd percentile

82% 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

  • 2020 - Fellow of the American Academy of Arts and Sciences
  • 2003 - IEEE Fellow For contributions to general-purpose processor architectures.
  • 2001 - ACM Fellow For pioneering multimedia instructions in general-purpose processor architecture and innovations in the design and implementation of the instruction set architecture of RISC processors.

Overview

Ruby B. Lee is affiliated with Princeton University in the United States. Their research spans multiple fields, primarily within computer science and psychology. The main areas of study include artificial intelligence, applied psychology, electrical and electronic engineering, information systems, and sociology and political science.

Their research topics cover a range of specialized domains, including:

  • Security and Verification in Computing
  • Digital Mental Health Interventions
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Physical Unclonable Functions (PUFs) and Hardware Security

They have published work in various venues, with frequent publications appearing in:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • Hardware and Architectural Support for Security and Privacy

Some of their recent papers include:

  • "Attacking and Protecting Data Privacy in Edge-Cloud Collaborative Inference Systems," 2020, IEEE Internet of Things Journal
  • "Smartphone Impostor Detection with Built-in Sensors and Deep Learning," 2020, arXiv (Cornell University)
  • "Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support," 2021, arXiv (Cornell University)
  • "Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks," 2023, arXiv (Cornell University)
  • "Position Paper: Consider Hardware-enhanced Defenses for Rootkit Attacks," 2020, Hardware and Architectural Support for Security and Privacy

Collaborations feature several frequent coauthors, including Zecheng He, Guangyuan Hu, and Tianwei Zhang.

Ruby B. Lee has been recognized with several honors, including fellowships from prominent organizations. These awards include:

  • American Academy of Arts and Sciences Fellow, 2020
  • IEEE Fellow, 2003, for contributions to general-purpose processor architectures
  • ACM Fellow, 2001, for pioneering multimedia instructions in general-purpose processor architecture and innovations in RISC processor instruction set architecture design and implementation

Best Publications

  • Last-Level Cache Side-Channel Attacks are Practical

    Fangfei Liu;Yuval Yarom;Qian Ge;Gernot Heiser

  • New cache designs for thwarting software cache-based side channel attacks

    Zhenghong Wang;Ruby B. Lee

  • Security as a new dimension in embedded system design

    Paul Kocher;Ruby Lee;Gary McGraw;Anand Raghunathan

  • Subword parallelism with MAX-2

    R.B. Lee

  • Taxonomies of Distributed Denial of Service Networks, Attacks, Tools, and Countermeasures

    Stephen Specht;Ruby Lee

  • CATalyst: Defeating last-level cache side channel attacks in cloud computing

    Fangfei Liu;Qian Ge;Yuval Yarom;Frank Mckeen

  • Accelerating multimedia with enhanced microprocessors

    R.B. Lee

  • Eliminating the hypervisor attack surface for a more secure cloud

    Jakub Szefer;Eric Keller;Ruby B. Lee;Jennifer Rexford

  • Distributed Denial of Service: Taxonomies of Attacks, Tools and Countermeasures

    Stephen M. Specht;Ruby B. Lee

  • Covert and Side Channels Due to Processor Architecture

    Zhenghong Wang;Ruby Lee

  • NoHype: virtualized cloud infrastructure without the virtualization

    Eric Keller;Jakub Szefer;Jennifer Rexford;Ruby B. Lee

  • A novel cache architecture with enhanced performance and security

    Zhenghong Wang;Ruby B. Lee

  • Architecture for Protecting Critical Secrets in Microprocessors

    Ruby B. Lee;Peter C. S. Kwan;John P. McGregor;Jeffrey Dwoskin

  • Random Fill Cache Architecture

    Fangfei Liu;Ruby B. Lee

  • Model inversion attacks against collaborative inference

    Zecheng He;Tianwei Zhang;Ruby B. Lee

  • Characterizing hypervisor vulnerabilities in cloud computing servers

    Diego Perez-Botero;Jakub Szefer;Ruby B. Lee

  • CloudRadar: A Real-Time Side-Channel Attack Detection System in Clouds

    Tianwei Zhang;Yinqian Zhang;Ruby Bei-Loh Lee

  • System and Method for Processor-Based Security

    Ruby B. Lee;David Champagne

  • Scalable architectural support for trusted software

    David Champagne;Ruby B. Lee

  • Precision architecture

    R.B. Lee

Frequent Co-Authors

Mung Chiang
Mung Chiang Purdue University West Lafayette
Shouling Ji
Shouling Ji Zhejiang University
Michael J. Flynn
Michael J. Flynn Stanford University
Weidong Shi
Weidong Shi Jiangsu University
Yuval Yarom
Yuval Yarom Ruhr University Bochum
Tian Lan
Tian Lan George Washington University
Prateek Mittal
Prateek Mittal Princeton University
Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Niraj K. Jha
Niraj K. Jha Princeton University
Gernot Heiser
Gernot Heiser University of New South Wales

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