World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
14585
World Ranking
8160
National Ranking
254

David Abramson 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 David Abramson 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: 302 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

David Abramson 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 David Abramson 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: 42 D-Index — 43rd percentile

43% 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

  • 2016 - IEEE Fellow For contributions to software tools for high performance, parallel, and distributed computing
  • 2010 - ACM Fellow For contributions to software engineering tools and techniques for high performance and distributed supercomputers.

Overview

David Abramson is affiliated with the University of Queensland in Australia and has produced research primarily in the field of Computer Science. Their work spans various subfields including Computer Networks and Communications, Molecular Biology, Information Systems, Information Systems and Management, and Management Science and Operations Research.

The main topics that feature prominently in Abramson's research are:

  • Distributed and Parallel Computing Systems
  • Protein Structure and Dynamics
  • Advanced Data Storage Technologies
  • Scientific Computing and Data Management
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Data Quality and Management

Some frequently appearing venues in which their work has been published include:

  • Computing in Science & Engineering
  • Frontiers in Molecular Biosciences
  • Bioinformatics
  • Australian Journal of Social Issues
  • Future Generation Computer Systems

Notable recent papers by David Abramson include:

  • "Economic models for management of resources in peer-to-peer and grid computing," 2022, published in RePEc: Research Papers in Economics
  • "On the reliability and the limits of inference of amino acid sequence alignments," 2022, published in Bioinformatics
  • "Universal Architectural Concepts Underlying Protein Folding Patterns," 2021, published in Frontiers in Molecular Biosciences
  • "Technical considerations when implementing digital infrastructure for social policy," 2020, published in Australian Journal of Social Issues
  • "Computer hardware to support capability based addressing in a large virtual memory," 2021, published in Queensland's institutional digital repository (The University of Queensland)

David Abramson has collaborated frequently with several co-authors, including:

  • Manish Parashar
  • Arun S. Konagurthu
  • Lloyd Allison
  • Peter J. Stuckey
  • María García de la Banda

In recognition of their contributions, Abramson has been awarded fellowships:

  • IEEE Fellow, 2016, for contributions to software tools for high performance, parallel, and distributed computing
  • ACM Fellow, 2010, for contributions to software engineering tools and techniques for high performance and distributed supercomputers

Best Publications

  • Nimrod/G: an architecture for a resource management and scheduling system in a global computational grid

    R. Buyya;D. Abramson;J. Giddy

  • Economic models for resource management and scheduling in Grid computing

    Rajkumar Buyya;David A Abramson;Jonathon Giddy;Heinz Stockinger

  • High performance parametric modeling with Nimrod/G: killer application for the global grid?

    D. Abramson;J. Giddy;L. Kotler

  • The Grid Economy

    R. Buyya;D. Abramson;S. Venugopal

  • Scheduling Aircraft Landings--The Static Case

    J. E. Beasley;M. Krishnamoorthy;Y. M. Sharaiha;D. Abramson

  • A computational economy for grid computing and its implementation in the Nimrod-G resource broker

    David Abramson;Rajkumar Buyya;Jonathan Giddy

  • 2014 International Conference on Computational Science

    D. Abramson;M. Lees;V. Krzhizhanovskaya;J. Dongarra

  • Nimrod/G: An Architecture of a Resource Management and Scheduling System in a Global Computational Grid

    Rajkumar Buyya;David Abramson;Jon Giddy

  • Constructing school timetables using simulated annealing: sequential and parallel algorithms

    D. Abramson

  • A case for economy grid architecture for service oriented grid computing

    R. Buyya;D. Abramson;J. Giddy

  • Nimrod: a tool for performing parametrised simulations using distributed workstations

    D. Abramson;R. Sosic;J. Giddy;B. Hall

  • An Economy Driven Resource Management Architecture for Global Computational Power Grids

    Rajkumar Buyya;David Abramson;Jonathan Giddy

  • Computational Science — ICCS 2003

    Peter M. A. Sloot;David Abramson;Alexander V. Bogdanov;Yuriy E. Gorbachev

  • An Evaluation of Economy-based Resource Trading and Scheduling on Computational Power Grids for Parameter Sweep Applications

    Rajkumar Buyya;Jonathan Giddy;David Abramson

  • Scheduling parameter sweep applications on global Grids: a deadline and budget constrained cost-time optimization algorithm

    Rajkumar Buyya;Manzur Murshed;David Abramson;Srikumar Venugopal

  • Economic models for management of resources in peer-to-peer and grid computing

    Rajkumar Buyya;Heinz Stockinger;Jonathan Giddy;David Abramson

  • Simulated Annealing Cooling Schedules for the School Timetabling Problem

    David Abramson;Mohan Krishnamoorthy;Henry Dang

  • Displacement problem and dynamically scheduling aircraft landings

    John E Beasley;Mohan Krishnamoorthy;Yahid M Sharaiha;David Andrew Abramson

  • The Virtual Laboratory: a toolset to enable distributed molecular modelling for drug design on the World‐Wide Grid

    Rajkumar Buyya;Kim Branson;Jonathon Giddy;David A Abramson

  • MONADS-PC - a capability-based workstation to support software engineering

    John Rosenberg;David Abramson

  • Computing optimal schedules for landing aircraft

    J Abela;D Abramson;M Krishnamoorthy;A De Silva

Frequent Co-Authors

Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Kim K. Baldridge
Kim K. Baldridge Tianjin University
Peter J. Stuckey
Peter J. Stuckey Monash University
Arthur M. Lesk
Arthur M. Lesk Pennsylvania State University
Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Ian Foster
Ian Foster University of Chicago
Srikumar Venugopal
Srikumar Venugopal IBM Research - Ireland
Mohan Krishnamoorthy
Mohan Krishnamoorthy University of Queensland
Peter M. A. Sloot
Peter M. A. Sloot University of Amsterdam
Amanda H. Lynch
Amanda H. Lynch Brown University

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