World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
5557
World Ranking
8116
National Ranking
3476

Glenn Reinman 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 Glenn Reinman 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Glenn Reinman 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 Glenn Reinman 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Glenn Reinman is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on areas within computer science and engineering, with specific contributions to hardware and architecture, electrical and electronic engineering, and computer networks and communications.

The main topics of their work include:

  • Parallel Computing and Optimization Techniques
  • Low-power high-performance VLSI design
  • Interconnection Networks and Systems

Reinman's publication record includes recent work such as the paper titled "An Evaluation of Deeply Decoupled Cores", published in 2024 in the SSRN Electronic Journal. This paper has been cited three times and contributes to the ongoing discussion on processor architecture and optimization strategies.

Their frequent co-authors are:

  • Eren Kurshan
  • Anahita Shayesteh
  • Suleyman Sair
  • Timothy Sherwood

Reinman's research outputs are published primarily in venues including the SSRN Electronic Journal. The concentration of work in highly specialized topics within computer science and engineering reflects a focus on the design and efficiency of computing systems and networks.

Best Publications

  • CMP network-on-chip overlaid with multi-band RF-interconnect

    M.F. Chang;J. Cong;A. Kaplan;M. Naik

  • Selective value prediction

    Brad Calder;Glenn Reinman;Dean M. Tullsen

  • A scalable micro wireless interconnect structure for CMPs

    Suk-Bok Lee;Sai-Wang Tam;Ioannis Pefkianakis;Songwu Lu

  • A quantitative analysis on microarchitectures of modern CPU-FPGA platforms

    Young-kyu Choi;Jason Cong;Zhenman Fang;Yuchen Hao

  • CACTI 2.0: An Integrated Cache Timing and Power Model

    Glen Reinman;Norman P. Jouppi;Glenn Reinman;Norm Jouppi

  • Customizable Domain-Specific Computing

    Jason Cong;Glenn Reinman;Alex Bui;Vivek Sarkar

  • Fetch directed instruction prefetching

    Glenn Reinman;Brad Calder;Todd Austin

  • A scalable front-end architecture for fast instruction delivery

    Glenn Reinman;Todd Austin;Brad Calder

  • Architecture support for accelerator-rich CMPs

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • Predictive techniques for aggressive load speculation

    Glenn Reinman;Brad Calder

  • Supporting Address Translation for Accelerator-Centric Architectures

    Yuchen Hao;Zhenman Fang;Glenn Reinman;Jason Cong

  • An Integrated Cache Timing and Power Model

    Glen Reinman;Norman P. Jouppi;Glenn Reinman;Norm Jouppi

  • SteerBench: a benchmark suite for evaluating steering behaviors

    Shawn Singh;Mubbasir Kapadia;Petros Faloutsos;Glenn Reinman

  • The Art of Deception: Adaptive Precision Reduction for Area Efficient Physics Acceleration

    Thomas Yeh;Petros Faloutsos;Milos Ercegovac;Sanjay Patel

  • CHARM: a composable heterogeneous accelerator-rich microprocessor

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • Accelerator-Rich Architectures: Opportunities and Progresses

    Jason Cong;Mohammad Ali Ghodrat;Michael Gill;Beayna Grigorian

  • A modular framework for adaptive agent-based steering

    Shawn Singh;Mubbasir Kapadia;Billy Hewlett;Glenn Reinman

  • Dynamically reconfigurable hybrid cache: an energy-efficient last-level cache design

    Yu-Ting Chen;Jason Cong;Hui Huang;Bin Liu

  • RF interconnects for communications on-chip

    M.-C. Frank Chang;Eran Socher;Sai-Wang Tam;Jason Cong

  • BRAINIAC: Bringing reliable accuracy into neurally-implemented approximate computing

    Beayna Grigorian;Nazanin Farahpour;Glenn Reinman

  • Customizable domain-specific computing

    Jason Cong

Frequent Co-Authors

Jason Cong
Jason Cong University of California, Los Angeles
Petros Faloutsos
Petros Faloutsos York University
Brad Calder
Brad Calder Google (United States)
Mau-Chung Frank Chang
Mau-Chung Frank Chang University of California, Los Angeles
Todd Austin
Todd Austin University of Michigan–Ann Arbor
Timothy Sherwood
Timothy Sherwood University of California, Santa Barbara
Gokhan Memik
Gokhan Memik Northwestern University
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Norman P. Jouppi
Norman P. Jouppi Google (United States)
Michael Gill
Michael Gill Trinity College Dublin

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