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D-Index & Metrics

Computer Science

D-Index
51
Citations
12180
World Ranking
5281
National Ranking
2433

Timothy Sherwood 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 Timothy Sherwood 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: 210 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Timothy Sherwood 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 Timothy Sherwood 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: 51 D-Index — 63rd percentile

63% 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

  • 2014 - ACM Distinguished Member

Overview

Timothy Sherwood is affiliated with the University of California, Santa Barbara in the United States. Their research publications span multiple domains within computer science and engineering, with a particular focus on hardware, architecture, and artificial intelligence.

Their recent published papers include the following works:

  • "Agile Hardware Development and Instrumentation With PyRTL," 2020, IEEE Micro
  • "Temporal Computing With Superconductors," 2021, IEEE Micro
  • "A Systematic View of Model Leakage Risks in Deep Neural Network Systems," 2022, IEEE Transactions on Computers
  • "Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors," 2021, arXiv (Cornell University)
  • "Loop Rerolling for Hardware Decompilation," 2023, Proceedings of the ACM on Programming Languages

Frequent co-authors collaborating with Sherwood include:

  • Georgios Tzimpragos
  • Jennifer Volk
  • Alex Wynn
  • Evan Golden
  • Deeksha Dangwal

They have contributed regularly to several publication venues, among which the most frequent are:

  • IEEE Micro
  • arXiv (Cornell University)
  • Communications of the ACM
  • IEEE Transactions on Computers
  • Proceedings of the ACM on Programming Languages

Timothy Sherwood's research fields of study include:

  • Computer Science
  • Engineering

Within these fields, the subfields they focus on cover:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

Their main research topics are structured around:

  • Parallel Computing and Optimization Techniques
  • Semiconductor Materials and Devices
  • Advanced Memory and Neural Computing
  • Advanced Data Storage Technologies
  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Advanced Malware Detection Techniques

In 2014, Timothy Sherwood was recognized as an ACM Distinguished Member.

Best Publications

  • Automatically characterizing large scale program behavior

    Timothy Sherwood;Erez Perelman;Greg Hamerly;Brad Calder

  • Basic Block Distribution Analysis to Find Periodic Behavior and Simulation Points in Applications

    Timothy Sherwood;Erez Perelman;Brad Calder

  • Phase tracking and prediction

    Timothy Sherwood;Suleyman Sair;Brad Calder

  • Deterministic memory-efficient string matching algorithms for intrusion detection

    N. Tuck;T. Sherwood;B. Calder;G. Varghese

  • Active pages: a computation model for intelligent memory

    Mark Oskin;Frederic T. Chong;Timothy Sherwood

  • A High Throughput String Matching Architecture for Intrusion Detection and Prevention

    Lin Tan;Timothy Sherwood

  • Using SimPoint for accurate and efficient simulation

    Erez Perelman;Greg Hamerly;Michael Van Biesbrouck;Timothy Sherwood

  • Discovering and exploiting program phases

    T. Sherwood;E. Perelman;G. Hamerly;S. Sair

  • Complete information flow tracking from the gates up

    Mohit Tiwari;Hassan M.G. Wassel;Bita Mazloom;Shashidhar Mysore

  • A thermally-aware performance analysis of vertically integrated (3-D) processor-memory hierarchy

    Gian Luca Loi;Banit Agrawal;Navin Srivastava;Sheng-Chih Lin

  • Time Varying Behavior of Programs

    Timothy Sherwood;Brad Calder

  • Predictor-directed stream buffers

    Timothy Sherwood;Suleyman Sair;Brad Calder

  • Modeling TCAM power for next generation network devices

    B. Agrawal;T. Sherwood

  • Reducing cache misses using hardware and software page placement

    Timothy Sherwood;Brad Calder;Joel Emer

  • Sapper: a language for hardware-level security policy enforcement

    Xun Li;Vineeth Kashyap;Jason K. Oberg;Mohit Tiwari

  • SurfNoC: a low latency and provably non-interfering approach to secure networks-on-chip

    Hassan M. G. Wassel;Ying Gao;Jason K. Oberg;Ted Huffmire

  • Moats and Drawbridges: An Isolation Primitive for Reconfigurable Hardware Based Systems

    T. Huffmire;B. Brotherton;Gang Wang;T. Sherwood

  • Crafting a usable microkernel, processor, and I/O system with strict and provable information flow security

    Mohit Tiwari;Jason K. Oberg;Xun Li;Jonathan Valamehr

  • Bitwidth cognizant architecture synthesis of custom hardware accelerators

    S. Mahlke;R. Ravindran;M. Schlansker;R. Schreiber

  • Caisson: a hardware description language for secure information flow

    Xun Li;Mohit Tiwari;Jason K. Oberg;Vineeth Kashyap

Frequent Co-Authors

Ryan Kastner
Ryan Kastner University of California, San Diego
Brad Calder
Brad Calder Google (United States)
Frederic T. Chong
Frederic T. Chong University of Chicago
Dmitri B. Strukov
Dmitri B. Strukov University of California, Santa Barbara
Wei Hu
Wei Hu Nanjing University
Glenn Reinman
Glenn Reinman University of California, Los Angeles
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
George Varghese
George Varghese University of California, Los Angeles
Kaustav Banerjee
Kaustav Banerjee University of California, Santa Barbara
Lin Tan
Lin Tan Purdue University West Lafayette

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