World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
19368
World Ranking
2304
National Ranking
1151

Andrew Lumsdaine 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 Andrew Lumsdaine 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: 341 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Andrew Lumsdaine 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 Andrew Lumsdaine 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Andrew Lumsdaine is affiliated with the Pacific Northwest National Laboratory in the United States. Their research expertise lies primarily in the field of Computer Science, with a focus on several specialized subfields and main topics.

The main areas of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Statistical and Nonlinear Physics
  • Hardware and Architecture

Key research topics explored by Andrew Lumsdaine cover:

  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Parallel Computing and Optimization Techniques
  • Data Visualization and Analytics
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

Recent publications authored or coauthored by Andrew Lumsdaine include:

  • "A Component Architecture for the Message Passing Interface (MPI): The Systems Services Interface (SSI) for LAM/MPI", 2022, published in OPAL (Open@LaTrobe) (La Trobe University)
  • "High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis", 2022, published at the 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • "Direction-optimizing Label Propagation Framework for Structure Detection in Graphs: Design, Implementation, and Experimental Analysis", 2022, published in ACM Journal of Experimental Algorithmics
  • "Cascade residual learning based adaptive feature aggregation for light field super-resolution", 2025, published in Pattern Recognition
  • "NWHy: A Framework for Hypergraph Analytics: Representations, Data structures, and Algorithms", 2022, published at the 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

Frequent coauthors working alongside Andrew Lumsdaine include:

  • Tony Liu
  • Jesun Firoz
  • Assefaw H. Gebremedhin
  • Brenda Praggastis
  • Sinan G. Aksoy

The main venues where Andrew Lumsdaine's work has been published are:

  • arXiv (Cornell University)
  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Pattern Recognition
  • 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
  • ACM Journal of Experimental Algorithmics

Best Publications

  • Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation

    Edgar Gabriel;Graham E. Fagg;George Bosilca;Thara Angskun

  • The Boost graph library : user guide and reference manual

    Jeremy G. Siek;Lie-Quan Lee;Andrew Lumsdaine

  • An Updated Set of Basic Linear Algebra Subprograms (BLAS)

    Susan Blackford;James Demmel;Jack Dongarra;Iain Duff

  • The focused plenoptic camera

    Andrew Lumsdaine;Todor Georgiev

  • CHALLENGES IN PARALLEL GRAPH PROCESSING

    Andrew Lumsdaine;Douglas P. Gregor;Bruce Hendrickson;Jonathan W. Berry

  • The Lam/Mpi Checkpoint/Restart Framework: System-Initiated Checkpointing

    Sriram Sankaran;Jeffrey M. Squyres;Brian Barrett;Vishal Sahay

  • Focused plenoptic camera and rendering

    Todor G. Georgiev;Andrew Lumsdaine

  • MPI - The Complete Reference: Volume 2, The MPI Extensions

    William Gropp;Steven Huss-Lederman;Andrew Lumsdaine;Ewing Lusk

  • Super-resolution with the focused plenoptic camera

    Todor G. Georgiev;Andrew Lumsdaine

  • Characterizing the Influence of System Noise on Large-Scale Applications by Simulation

    Torsten Hoefler;Timo Schneider;Andrew Lumsdaine

  • Methods and apparatus for full-resolution light-field capture and rendering

    Todor G. Georgiev;Andrew Lumsdaine

  • A Component Architecture for LAM/MPI

    Jeffrey M. Squyres;Andrew Lumsdaine

  • Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model

    Shinya Ito;Michael E. Hansen;Randy Heiland;Andrew Lumsdaine

  • Concepts: linguistic support for generic programming in C++

    Douglas Gregor;Jaakko Järvi;Jeremy Siek;Bjarne Stroustrup

  • Implementation and performance analysis of non-blocking collective operations for MPI

    Torsten Hoefler;Andrew Lumsdaine;Wolfgang Rehm

  • The Design and Implementation of Checkpoint/Restart Process Fault Tolerance for Open MPI

    J. Hursey;J.M. Squyres;T.I. Mattox;A. Lumsdaine

  • State observers for variable-reluctance motors

    A. Lumsdaine;J.H. Lang

  • Focused plenoptic camera employing microlenses with different focal lengths

    Todor G. Georgiev;Andrew Lumsdaine

  • Methods and apparatus for rich image capture with focused plenoptic cameras

    Todor G. Georgiev;Andrew Lumsdaine

  • MPI-2: Extending the Message-Passing Interface

    Al Geist;William Gropp;Steven Huss-Lederman;Andrew Lumsdaine

  • Methods and Apparatus for Super-Resolution in Integral Photography

    Todor G. Georgiev;Georgi N. Chunev;Andrew Lumsdaine

Frequent Co-Authors

Todor G. Georgiev
Todor G. Georgiev Adobe Systems (United States)
Jeremy G. Siek
Jeremy G. Siek Indiana University
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
George Bosilca
George Bosilca University of Tennessee at Knoxville
William Gropp
William Gropp University of Illinois at Urbana-Champaign
Ewing Lusk
Ewing Lusk Argonne National Laboratory
David Padua
David Padua University of Illinois at Urbana-Champaign
Bruce Hendrickson
Bruce Hendrickson Lawrence Livermore National Laboratory

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