World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5584
World Ranking
11253
National Ranking
4647

John A. Gunnels 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 John A. Gunnels 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: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

John A. Gunnels 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 John A. Gunnels 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: 36 D-Index — 23rd percentile

23% 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

  • 2007 - ACM Gordon Bell Prize Extending Stability Beyond CPU Millennium: A Micron-Scale Atomistic Simulation of Kelvin-Helmholtz Instability.
  • 2006 - ACM Gordon Bell Prize Large-scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform

Overview

John A. Gunnels is a researcher affiliated with Nvidia, based in the United States. Their research primarily spans the field of Computer Science, with particular focus on various specialized subfields and topics.

The main subfields of study in their work include:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Molecular Biology
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Their research covers a range of topics, notably:

  • Parallel Computing and Optimization Techniques
  • Computational Physics and Python Applications
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Quantum Computing Algorithms and Architecture
  • Numerical Methods and Algorithms

John A. Gunnels has published several papers in prominent venues. Notable recent works include:

  • "Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19," 2020, Journal of Chemical Information and Modeling
  • "cuQuantum SDK: A High-Performance Library for Accelerating Quantum Science," 2023, arXiv (Cornell University)
  • "Hardware Trends Impacting Floating-Point Computations In Scientific Applications," 2024, arXiv (Cornell University)
  • "Mixed-precision ab initio tensor network state methods adapted for NVIDIA Blackwell technology via emulated FP64 arithmetic," 2025, arXiv (Cornell University)

Frequent publication venues for their work are:

  • arXiv (Cornell University)
  • Journal of Chemical Information and Modeling

Collaborations have been established with a number of co-authors, including:

  • Harun Bayraktar
  • Azzam Haidar
  • Atanu Acharya
  • Rupesh Agarwal
  • Matthew Baker

John A. Gunnels has received two ACM Gordon Bell Prizes in consecutive years. The 2006 prize was awarded for work on large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform. The 2007 prize was for extending stability in a micron-scale atomistic simulation of Kelvin-Helmholtz instability.

Best Publications

  • An Overview of the BlueGene/L Supercomputer

    N.R. Adiga;G. Almasi;G.S. Almasi;Y. Aridor

  • Multi-petascale highly efficient parallel supercomputer

    Sameh Asaad;Ralph E. Bellofatto;Michael A. Blocksome;Matthias A. Blumrich

  • FLAME: Formal Linear Algebra Methods Environment

    John A. Gunnels;Fred G. Gustavson;Greg M. Henry;Robert A. van de Geijn

  • The science of deriving dense linear algebra algorithms

    Paolo Bientinesi;John A. Gunnels;Margaret E. Myers;Enrique S. Quintana-Ortí

  • Active Memory Cube: A processing-in-memory architecture for exascale systems

    Ravi Nair;Samuel Antão;Carlo Bertolli;Pradip Bose

  • Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.

    A. Acharya;R. Agarwal;R. Agarwal;M. B. Baker;J. Baudry

  • Leveraging Secondary Storage to Simulate Deep 54-qubit Sycamore Circuits

    Edwin Pednault;John A. Gunnels;Giacomo Nannicini;Lior Horesh

  • Breaking the 49-Qubit Barrier in the Simulation of Quantum Circuits

    Edwin Pednault;John A. Gunnels;Giacomo Nannicini;Lior Horesh

  • Scalable Community Detection with the Louvain Algorithm

    Xinyu Que;Fabio Checconi;Fabrizio Petrini;John A. Gunnels

  • Extending stability beyond CPU millennium: a micron-scale atomistic simulation of Kelvin-Helmholtz instability

    J. N. Glosli;D. F. Richards;K. J. Caspersen;R. E. Rudd

  • The BLIS Framework: Experiments in Portability

    Field G. Van Zee;Tyler M. Smith;Bryan Marker;Tze Meng Low

  • PLAPACK Parallel Linear Algebra Package Design Overview

    Philip Alpatov;Greg Baker;Carter Edwards;John Gunnels

  • Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform

    Francois Gygi;Erik W. Draeger;Martin Schulz;Bronis R. de Supinski

  • An experimental comparison of cache-oblivious and cache-conscious programs

    Kamen Yotov;Tom Roeder;Keshav Pingali;John Gunnels

  • MPI Collective Communications on The Blue Gene/P Supercomputer: Algorithms and Optimizations

    Ahmad Faraj;Sameer Kumar;Brian Smith;Amith Mamidala

  • Design and implementation of message-passing services for the Blue Gene/L supercomputer

    G. Almási;C. Archer;J. G. Castaños;J. A. Gunnels

  • A flexible class of parallel matrix multiplication algorithms

    J. Gunnels;C. Lin;G. Morrow;R. van de Geijn

  • A family of high-performance matrix multiplication algorithms

    John A. Gunnels;Greg M. Henry;Robert A. van de Geijn

  • Fine-grained parallelization of the Car-Parrinello ab initio molecular dynamics method on the IBM Blue Gene/L supercomputer

    E. Bohm;A. Bhatele;L. V. Kalé;M. E. Tuckerman

  • MPI collective communications on the blue gene/p supercomputer: algorithms and optimizations

    Ahmad Faraj;Sameer Kumar;Brian Smith;Amith Mamidala

  • Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19

    Atanu Acharya;Rupesh Agarwal;Matthew Baker;Jerome Baudry

Frequent Co-Authors

Fred G. Gustavson
Fred G. Gustavson Umeå University
Robert A. van de Geijn
Robert A. van de Geijn The University of Texas at Austin
Manish Gupta
Manish Gupta Google (United States)
Alexandre E. Eichenberger
Alexandre E. Eichenberger IBM (United States)
José E. Moreira
José E. Moreira IBM (United States)
Michael Karl Gschwind
Michael Karl Gschwind IBM (United States)
Alan Gara
Alan Gara IBM (United States)
George Almasi
George Almasi IBM (United States)
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València

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