World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8163
World Ranking
10544
National Ranking
4421

Donghyuk 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 Donghyuk 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: 120 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.

Donghyuk 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 Donghyuk 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: 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.

Overview

Donghyuk Lee is affiliated with Nvidia in the United States. Their research spans multiple areas within computer science and engineering, with a particular focus on hardware reliability, system optimization, and automation techniques.

Key fields of study associated with Donghyuk Lee include:

  • Computer Science
  • Engineering

Within these primary fields, their work extends into several subfields:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

The main research topics addressed in their publications are:

  • Radiation Effects in Electronics
  • Semiconductor materials and devices
  • Distributed systems and fault tolerance
  • Robotic Process Automation Applications
  • Cloud Data Security Solutions
  • Blockchain Technology Applications and Security
  • Parallel Computing and Optimization Techniques

Donghyuk Lee has contributed to several recent papers, including:

  • "Characterizing and Mitigating Soft Errors in GPU DRAM" (2022) published in IEEE Micro
  • "MIORPA: Middleware System for Open-Source Robotic Process Automation" (2020) published in Journal of Computing Science and Engineering
  • "Symphony: Orchestrating Sparse and Dense Tensors with Hierarchical Heterogeneous Processing" (2023) published in ACM Transactions on Computer Systems
  • "A Study on the Application of Oversampling Techniques in Imbalanced Multi-Class Classification" (2025) published in The Korean Data Analysis Society

Their frequent coauthors include:

  • Mike O'Connor
  • Stephen W. Keckler
  • Michael B. Sullivan
  • N.R. Saxena
  • Paul Racunas

Frequently chosen publication venues for their work are:

  • IEEE Micro
  • Journal of Computing Science and Engineering
  • ACM Transactions on Computer Systems
  • The Korean Data Analysis Society

Best Publications

  • Flipping bits in memory without accessing them: an experimental study of DRAM disturbance errors

    Yoongu Kim;Ross Daly;Jeremie Kim;Chris Fallin

  • Ambit: in-memory accelerator for bulk bitwise operations using commodity DRAM technology

    Vivek Seshadri;Donghyuk Lee;Thomas Mullins;Hasan Hassan

  • RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization

    Vivek Seshadri;Yoongu Kim;Chris Fallin;Donghyuk Lee

  • A case for exploiting subarray-level parallelism (SALP) in DRAM

    Yoongu Kim;Vivek Seshadri;Donghyuk Lee;Jamie Liu

  • Tiered-latency DRAM: A low latency and low cost DRAM architecture

    Donghyuk Lee;Yoongu Kim;V. Seshadri;Jamie Liu

  • A 1.2 V 12.8 GB/s 2 Gb Mobile Wide-I/O DRAM With 4 $ imes$ 128 I/Os Using TSV Based Stacking

    Jung-Sik Kim;Chi Sung Oh;Hocheol Lee;Donghyuk Lee

  • Adaptive-latency DRAM: Optimizing DRAM timing for the common-case

    Donghyuk Lee;Yoongu Kim;Gennady Pekhimenko;Samira Khan

  • Improving DRAM performance by parallelizing refreshes with accesses

    Kevin Kai-Wei Chang;Donghyuk Lee;Zeshan Chishti;Alaa R. Alameldeen

  • Low-Cost Inter-Linked Subarrays (LISA): Enabling fast inter-subarray data movement in DRAM

    Kevin K. Chang;Prashant J. Nair;Donghyuk Lee;Saugata Ghose

  • Fast Bulk Bitwise AND and OR in DRAM

    Vivek Seshadri;Kevin Hsieh;Amirali Boroumand;Donghyuk Lee

  • GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies.

    Jeremie S. Kim;Jeremie S. Kim;Damla Senol Cali;Hongyi Xin;Donghyuk Lee

  • Understanding Latency Variation in Modern DRAM Chips: Experimental Characterization, Analysis, and Optimization

    Kevin K. Chang;Abhijith Kashyap;Hasan Hassan;Saugata Ghose

  • Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems

    Mike OrConnor;Niladrish Chatterjee;Donghyuk Lee;John Wilson

  • The efficacy of error mitigation techniques for DRAM retention failures: a comparative experimental study

    Samira Khan;Donghyuk Lee;Yoongu Kim;Alaa R. Alameldeen

  • ChargeCache: Reducing DRAM latency by exploiting row access locality

    Hasan Hassan;Gennady Pekhimenko;Nandita Vijaykumar;Vivek Seshadri

  • Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms

    Kevin K. Chang;Abdullah Giray Yağlıkçı;Saugata Ghose;Aditya Agrawal

  • Simultaneous Multi-Layer Access: Improving 3D-Stacked Memory Bandwidth at Low Cost

    Donghyuk Lee;Saugata Ghose;Gennady Pekhimenko;Samira Khan

  • PARBOR: An Efficient System-Level Technique to Detect Data-Dependent Failures in DRAM

    Samira Khan;Donghyuk Lee;Onur Mutlu

  • Accelerating read mapping with FastHASH.

    Hongyi Xin;Donghyuk Lee;Farhad Hormozdiari;Samihan Yedkar

  • SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies

    Hasan Hassan;Nandita Vijaykumar;Samira Khan;Saugata Ghose

  • Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms

    Donghyuk Lee;Samira Khan;Lavanya Subramanian;Saugata Ghose

  • 28.5 A 1.2V 12.8GB/s 2Gb Mobile Wide-I/O DRAM with 4×128 I/Os Using TSV-Based Stacking

    Jung-Sik Kim;Hocheol Lee;Donghyuk Lee;Hyong-Ryol Hwang

Frequent Co-Authors

Onur Mutlu
Onur Mutlu ETH Zurich
Saugata Ghose
Saugata Ghose University of Illinois at Urbana-Champaign
Gennady Pekhimenko
Gennady Pekhimenko University of Toronto
Chris Wilkerson
Chris Wilkerson Nvidia (United Kingdom)
Alaa R. Alameldeen
Alaa R. Alameldeen Intel (United States)
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Michael Kozuch
Michael Kozuch Intel (United States)
Todd C. Mowry
Todd C. Mowry Carnegie Mellon University
Can Alkan
Can Alkan Bilkent University
William J. Dally
William J. Dally Nvidia (United Kingdom)

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