World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
9083
World Ranking
3916
National Ranking
1857

Guang R. Gao 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 Guang R. Gao 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: 440 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Guang R. Gao 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 Guang R. Gao 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: 57 D-Index — 74th percentile

74% 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

  • 2008 - IEEE Fellow For contributions to architecture and compiler technology of parallel computers
  • 2007 - ACM Fellow For contributions to multiprocessor computers and compiler optimization techniques.

Overview

Guang R. Gao is affiliated with the University of Delaware in the United States. Their academic work primarily spans the field of Computer Science, with a particular focus on subfields such as Computer Networks and Communications, Biomedical Engineering, Hardware and Architecture, Information Systems, and Molecular Biology.

Their research topics cover a range of areas including Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Cloud Computing and Resource Management, Melanoma and MAPK Pathways, Advanced Data Storage Technologies, Cytokine Signaling Pathways and Interactions, and Cancer Mechanisms and Therapy.

Guang R. Gao has contributed to several recent scholarly papers, including:

  • Androgen receptor blockade promotes response to BRAF/MEK-targeted therapy, 2022, Nature
  • swFLOW: A large-scale distributed framework for deep learning on Sunway TaihuLight supercomputer, 2021, Information Sciences
  • A Profile-Based AI-Assisted Dynamic Scheduling Approach for Heterogeneous Architectures, 2021, International Journal of Parallel Programming
  • Constructing Ce-OH groups on CeO2 for enhancing removal and recovery of uranium from wastewater and seawater, 2024, Chemosphere
  • Dataflow Accelerator Architecture for Autonomous Machine Computing, 2021, arXiv (Cornell University)

Frequent coauthors in their publications include Jean-Luc Gaudiot, Christopher P. Vellano, Michael G. White, Miles C. Andrews, and Manoj Chelvanambi.

Their research has appeared in several notable publication venues with multiple contributions, such as:

  • Nature
  • International Journal of Parallel Programming
  • arXiv (Cornell University)
  • Communications in Humanities Research
  • Chemosphere

Guang R. Gao has been recognized with distinctions such as the IEEE Fellow in 2008 for contributions to architecture and compiler technology of parallel computers, and the ACM Fellow in 2007 for contributions to multiprocessor computers and compiler optimization techniques.

Best Publications

  • TROLL--tandem repeat occurrence locator.

    Adalberto T. Castelo;Wellington Santos Martins;Guang R. Gao

  • An improved hidden Markov model for transmembrane protein detection and topology prediction and its applications to complete genomes

    Robel Y. Kahsay;Guang Gao;Li Liao

  • Cyanobacterial bloom management through integrated monitoring and forecasting in large shallow eutrophic Lake Taihu (China)

    Boqiang Qin;Wei Li;Guangwei Zhu;Yunlin Zhang

  • Dynamic load balancing on single- and multi-GPU systems

    Long Chen;Oreste Villa;Sriram Krishnamoorthy;Guang R. Gao

  • Collective Loop Fusion for Array Contraction

    Guang R. Gao;R. Olsen;Vivek Sarkar;Radhika Thekkath

  • Using a "codelet" program execution model for exascale machines: position paper

    Stéphane Zuckerman;Joshua Suetterlein;Rob Knauerhase;Guang R. Gao

  • Implementation of the Smith-Waterman algorithm on a reconfigurable supercomputing platform

    Peiheng Zhang;Guangming Tan;Guang R. Gao

  • A design study of the EARTH multiprocessor

    Herbert H. J. Hum;Olivier Maquelin;Kevin B. Theobald;Xinmin Tian

  • Advances in the dataflow computational model

    Walid A. Najjar;Edward A. Lee;Guang R. Gao

  • Minimizing register requirements under resource-constrained rate-optimal software pipelining

    R. Govindarajan;Erik R. Altman;Guang R. Gao

  • Location consistency-a new memory model and cache consistency protocol

    G.R. Gao;V. Sarkar

  • Software pipelining showdown: optimal vs. heuristic methods in a production compiler

    John Ruttenberg;G. R. Gao;A. Stoutchinin;W. Lichtenstein

  • A novel framework of register allocation for software pipelining

    Qi Ning;Guang R. Gao

  • Synchronization state buffer: supporting efficient fine-grain synchronization on many-core architectures

    Weirong Zhu;Vugranam C Sreedhar;Ziang Hu;Guang R. Gao

  • Designing the McCAT Compiler Based on a Family of Structured Intermediate Representations

    Laurie J. Hendren;C. Donawa;Maryam Emami;Guang R. Gao

  • Identifying loops using DJ graphs

    Vugranam C. Sreedhar;Guang R. Gao;Yong-Fong Lee

  • A study of the EARTH-MANNA multithreaded system

    Herbert H. J. Hum;Olivier Maquelin;Kevin B. Theobald;Xinmin Tian

  • Polling Watchdog: Combining Polling and Interrupts for Efficient Message Handling

    Olivier Maquelin;Guang R. Gao;Herbert H. J. Hum;Kevin B. Theobald

  • Multithreaded Computer Architecture: A Summary of the State of the Art

    Robert A Iannucci;Guang R Gao;Robert H Halstead;Burton R Smith

  • A linear time algorithm for placing p-nodes

    Vugranam C. Sreedhar;Guang R. Gao

  • Proceedings of the 12th International Workshop on High-Level Parallel Programming Models and Supportive Environments

    Arun Chauhan;Daniel G. Chavarria;Li Chen;Guang R. Gao

Frequent Co-Authors

Laurie Hendren
Laurie Hendren McGill University
Vivek Sarkar
Vivek Sarkar Georgia Institute of Technology
Boqiang Qin
Boqiang Qin Chinese Academy of Sciences
Guangwei Zhu
Guangwei Zhu Chinese Academy of Sciences
Yunlin Zhang
Yunlin Zhang Chinese Academy of Sciences
Rupak Biswas
Rupak Biswas Ames Research Center
Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center
Ashfaq Khokhar
Ashfaq Khokhar Iowa State University
Lori Pollock
Lori Pollock University of Delaware
Rick Stevens
Rick Stevens Argonne National Laboratory

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