World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
12305
World Ranking
10463
National Ranking
4376

G. Edward Suh 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 G. Edward Suh 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: 121 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

G. Edward Suh 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 G. Edward Suh 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: 37 D-Index — 27th percentile

27% 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 - IEEE Fellow For contributions to the development of secure hardware circuits and processors

Overview

G. Edward Suh is affiliated with Cornell University in the United States. Their body of work largely centers around computer science, with a focus on artificial intelligence, signal processing, computer vision and pattern recognition, computer networks and communications, and hardware and architecture.

The scientist's research topics include:

  • Adversarial Robustness in Machine Learning
  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Privacy-Preserving Technologies in Data
  • Cryptographic Implementations and Security
  • Scientific Computing and Data Management
  • Artificial Intelligence in Healthcare and Education

Frequent coauthors of G. Edward Suh include Weizhe Hua, Zhiru Zhang, Benjamin Wu, Aaron B. Wagner, and P.-S. Huang.

The scientist has contributed to a range of publication venues, notably:

  • arXiv (Cornell University)
  • IEEE Design and Test
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • IEEE Transactions on Dependable and Secure Computing

Some recent representative papers authored or coauthored by G. Edward Suh include:

  • GuardNN, 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
  • Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations, 2020, arXiv (Cornell University)
  • BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining, 2021, arXiv (Cornell University)
  • Remote Power Side-Channel Attacks on FPGAs, 2024, IEEE Design and Test
  • Reverse-Engineering CNN Models Using Side-Channel Attacks, 2022, IEEE Design and Test

G. Edward Suh was named an IEEE Fellow in 2020 for contributions to the development of secure hardware circuits and processors.

Best Publications

  • Physical unclonable functions for device authentication and secret key generation

    G. Edward Suh;Srinivas Devadas

  • Extracting secret keys from integrated circuits

    Daihyun Lim;J.W. Lee;B. Gassend;G.E. Suh

  • Secure program execution via dynamic information flow tracking

    G. Edward Suh;Jae W. Lee;David Zhang;Srinivas Devadas

  • AEGIS: architecture for tamper-evident and tamper-resistant processing

    G. Edward Suh;Dwaine Clarke;Blaise Gassend;Marten van Dijk

  • Dynamic Partitioning of Shared Cache Memory

    G. E. Suh;L. Rudolph;S. Devadas

  • A new memory monitoring scheme for memory-aware scheduling and partitioning

    G.E. Suh;S. Devadas;L. Rudolph

  • Caches and hash trees for efficient memory integrity verification

    B. Gassend;G.E. Suh;D. Clarke;M. van Dijk

  • Efficient memory integrity verification and encryption for secure processors

    G. Edward Suh;Dwaine Clarke;Blaise Gassend;Marten van Dijk

  • FPGA-Based Remote Power Side-Channel Attacks

    Mark Zhao;G. Edward Suh

  • Design and Implementation of the AEGIS Single-Chip Secure Processor Using Physical Random Functions

    G. Edward Suh;Charles W. O'Donnell;Ishan Sachdev;Srinivas Devadas

  • A Hardware Design Language for Timing-Sensitive Information-Flow Security

    Danfeng Zhang;Yao Wang;G. Edward Suh;Andrew C. Myers

  • Analytical cache models with applications to cache partitioning

    G. Edward Suh;Srinivas Devadas;Larry Rudolph

  • AEGIS: A single-chip secure processor

    G. Edward Suh;Charles W. O'Donnell;Srinivas Devadas

  • Sinan: ML-based and QoS-aware resource management for cloud microservices

    Yanqi Zhang;Weizhe Hua;Zhuangzhuang Zhou;G. Edward Suh

  • Adaptive reduction parallelization techniques

    Unknown

  • Reverse engineering convolutional neural networks through side-channel information leaks

    Weizhe Hua;Zhiru Zhang;G. Edward Suh

  • Flash Memory for Ubiquitous Hardware Security Functions: True Random Number Generation and Device Fingerprints

    Yinglei Wang;Wing-kei Yu;Shuo Wu;G. Malysa

  • Channel Gating Neural Networks

    Weizhe Hua;Yuan Zhou;Christopher M. De Sa;Zhiru Zhang

  • Efficient Timing Channel Protection for On-Chip Networks

    Yao Wang;G. Edward Suh

  • Incremental Multiset Hash Functions and Their Application to Memory Integrity Checking

    Dwaine E. Clarke;Srinivas Devadas;Marten van Dijk;Blaise Gassend

  • Timing channel protection for a shared memory controller

    Yao Wang;Andrew Ferraiuolo;G. Edward Suh

  • Extracting device fingerprints from flash memory by exploiting physical variations

    Pravin Prabhu;Ameen Akel;Laura M. Grupp;Wing-Kei S. Yu

  • TWiCe: preventing row-hammering by exploiting time window counters

    Eojin Lee;Ingab Kang;Sukhan Lee;G. Edward Suh

Frequent Co-Authors

Andrew C. Myers
Andrew C. Myers Cornell University
Marten van Dijk
Marten van Dijk University of Connecticut
Edwin C. Kan
Edwin C. Kan Cornell University
Mark Campbell
Mark Campbell Cornell University
Jung Ho Ahn
Jung Ho Ahn Seoul National University
Tuo-Hung Hou
Tuo-Hung Hou National Yang Ming Chiao Tung University
Khurram K. Afridi
Khurram K. Afridi Cornell University
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen

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