World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
6855
World Ranking
10618
National Ranking
421

Paul Chow 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 Paul Chow 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Paul Chow 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 Paul Chow 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

  • 2019 - IEEE Fellow For contributions to the programmability of FPGA-based computing

Overview

Paul Chow is affiliated with the University of Toronto in Canada and has contributed primarily to the field of Computer Science, with a concentration on several subfields including Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Information Systems, and Artificial Intelligence.

Their research spans various topics, notably:

  • Advanced Data Storage Technologies
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • Distributed and Parallel Computing Systems
  • Interconnection Networks and Systems
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Radiation Effects in Electronics

Frequent publication venues for their work include:

  • arXiv (Cornell University)
  • ACM Transactions on Reconfigurable Technology and Systems
  • IEEE Access
  • IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • Journal of Optical Communications and Networking

Among recent papers authored or co-authored by Paul Chow are:

  • The Future of FPGA Acceleration in Datacenters and the Cloud (2022), published in ACM Transactions on Reconfigurable Technology and Systems
  • Disaggregated Memory in the Datacenter: A Survey (2023), published in IEEE Access
  • FPGA Implementation of an Improved OMP for Compressive Sensing Reconstruction (2020), published in IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • AIgean: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters (2021), published in ACM Transactions on Reconfigurable Technology and Systems
  • RIFL: a reliable link layer network protocol for data center communication (2021), published in Journal of Optical Communications and Networking

Paul Chow's research collaborations include frequent co-authors such as Mohammad Ewais, Qianfeng Shen, Naif Tarafdar, Juan Camilo Vega, and Christophe Bobda, reflecting interdisciplinary teamwork across different studies and projects.

Recognition of their contributions includes the IEEE Fellow award granted in 2019 for contributions to the programmability of FPGA-based computing.

Best Publications

  • Architecture of field-programmable gate arrays: the effect of logic block functionality on area efficiency

    J. Rose;R.J. Francis;D. Lewis;P. Chow

  • OneChip: An FPGA Processor With Reconfigurable Logic

    Ralph Wittig;Paul Chow

  • The multicluster architecture: reducing cycle time through partitioning

    Keith I. Farkas;Paul Chow;Norman P. Jouppi;Zvonko Vranesic

  • FPGAs in the Cloud: Booting Virtualized Hardware Accelerators with OpenStack

    Stuart Byma;J. Gregory Steffan;Hadi Bannazadeh;Alberto Leon Garcia

  • The design of a SRAM-based field-programmable gate array-Part II: Circuit design and layout

    P. Chow;Soon Ong Seo;J. Rose;K. Chung

  • The design of an SRAM-based field-programmable gate array. I. Architecture

    P. Chow;Soon Ong Seo;J. Rose;K. Chung

  • Memory interfacing and instruction specification for reconfigurable processors

    Jeffrey A. Jacob;Paul Chow

  • Register file design considerations in dynamically scheduled processors

    K.I. Farkas;N.P. Jouppi;P. Chow

  • The effect of logic block architecture on FPGA performance

    S. Singh;J. Rose;P. Chow;D. Lewis

  • Exploiting dual data-memory banks in digital signal processors

    Mazen A. R. Saghir;Paul Chow;Corinna G. Lee

  • The effect of reconfigurable units in superscalar processors

    Jorge E. Carrillo;Paul Chow

  • TMD-MPI: An MPI Implementation for Multiple Processors Across Multiple FPGAs

    Manuel Saldana;Paul Chow

  • MIPS-X: a 20-MIPS peak, 32-bit microprocessor with on-chip cache

    M. Horowitz;P. Chow;D. Stark;R.T. Simoni

  • Reconfigurable molecular dynamics simulator

    N. Azizi;I. Kuon;A. Egier;A. Darabiha

  • Caffeinated FPGAs: FPGA framework For Convolutional Neural Networks

    Roberto DiCecco;Griffin Lacey;Jasmina Vasiljevic;Paul Chow

  • Memory-system design considerations for dynamically-scheduled processors

    Keith I. Farkas;Paul Chow;Norman P. Jouppi;Zvonko Vranesic

  • The Transmogrifier-2: a 1 million gate rapid-prototyping system

    D.M. Lewis;D.R. Galloway;M. Van Ierssel;J. Rose

  • Architectural tradeoffs in the design of MIPS-X

    P. Chow;M. Horowitz

  • How useful are non-blocking loads, stream buffers and speculative execution in multiple issue processors?

    K.I. Farkas;N.P. Jouppi;P. Chow

  • Using reconfigurability to achieve real-time profiling for hardware/software codesign

    Lesley Shannon;Paul Chow

Frequent Co-Authors

Alberto Leon-Garcia
Alberto Leon-Garcia University of Toronto
Jonathan Rose
Jonathan Rose University of Toronto
Mark Horowitz
Mark Horowitz Stanford University
David Lewis
David Lewis University of Adelaide
John L. Hennessy
John L. Hennessy Stanford University
Tor M. Aamodt
Tor M. Aamodt University of British Columbia
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Shaojun Wei
Shaojun Wei Tsinghua University

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