World's Best Scientists 2026 revealed!
Murray Woodside

Murray Woodside

D-Index & Metrics

Computer Science

D-Index
31
Citations
4921
World Ranking
13534
National Ranking
525

Murray Woodside 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 Murray Woodside 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Murray Woodside 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 Murray Woodside 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Murray Woodside is affiliated with Carleton University in Canada and has contributed to research primarily in the fields of computer science, business, management and accounting, and engineering. Their work spans multiple disciplines with a particular focus on computer networks, information systems, software, management information systems, and electrical and electronic engineering.

Their research topics include:

  • Cloud Computing and Resource Management
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Advanced Queuing Theory Analysis
  • Software-Defined Networks and 5G
  • Interconnection Networks and Systems
  • Smart Grid Energy Management

Woodside's recent published papers include the following:

  • Low-power multi-cloud deployment of large distributed service applications with response-time constraints, 2023, Journal of Cloud Computing Advances Systems and Applications
  • Focused Layered Performance Modelling by Aggregation, 2022, ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Their collaboration network includes frequent coauthors such as Babneet Singh, Ravneet Kaur, John W. Chinneck, Farhana Islam, and Dorina C. Petriu.

Woodside has published research in notable venues like:

  • Journal of Cloud Computing Advances Systems and Applications
  • ACM Transactions on Modeling and Performance Evaluation of Computing Systems

Best Publications

  • The Future of Software Performance Engineering

    M. Woodside;G. Franks;D.C. Petriu

  • The stochastic rendezvous network model for performance of synchronous client-server-like distributed software

    M. Woodside;J.E. Neilson;D.C. Petriu;S. Majumdar

  • Evaluating the scalability of distributed systems

    P. Jogalekar;M. Woodside

  • Performance by unified model analysis (PUMA)

    Murray Woodside;Dorina C. Petriu;Dorin B. Petriu;Hui Shen

  • Enhanced Modeling and Solution of Layered Queueing Networks

    G. Franks;T. Al-Omari;M. Woodside;O. Das

  • Performance modeling from software components

    Xiuping Wu;Murray Woodside

  • A toolset for performance engineering and software design of client-server systems

    Greg Franks;Alex Hubbard;Shikharesh Majumdar;John Neilson

  • Annotating UML models with non-functional properties for quantitative analysis

    Huascar Espinoza;Hubert Dubois;Sébastien Gerard;Julio Medina

  • Performance model driven QoS guarantees and optimization in clouds

    Jim Li;John Chinneck;Murray Woodside;Marin Litoiu

  • An intermediate metamodel with scenarios and resources for generating performance models from UML designs

    Unknown

  • A business driven cloud optimization architecture

    Marin Litoiu;Murray Woodside;Johnny Wong;Joanna Ng

  • ATOM: Model-Driven Autoscaling for Microservices

    Alim Ul Gias;Giuliano Casale;Murray Woodside

  • Tracking time-varying parameters in software systems with extended Kalman filters

    Tao Zheng;Jinmei Yang;Murray Woodside;Marin Litoiu

  • Hierarchical model-based autonomic control of software systems

    Marin Litoiu;Murray Woodside;Tao Zheng

  • Performance modeling and prediction of enterprise JavaBeans with layered queuing network templates

    Jing Xu;Alexandre Oufimtsev;Murray Woodside;Liam Murphy

  • Using regression splines for software performance analysis

    Marc Courtois;Murray Woodside

  • Service System Resource Management Based on a Tracked Layered Performance Model

    M. Woodside;Tao Zheng;M. Litoiu

  • Performance Analysis of a Software Design Using the UML Profile for Schedulability, Performance, and Time

    Jing Xu;C. Murray Woodside;Dorina C. Petriu

  • Performance-related completions for software specifications

    Murray Woodside;Dorin Petriu;Khalid Siddiqui

  • Performance analysis of security aspects by weaving scenarios extracted from UML models

    Murray Woodside;Dorina C. Petriu;Dorin B. Petriu;Jing Xu

  • Layered Bottlenecks and Their Mitigation

    G. Franks;D. Petriu;M. Woodside;Jing Xu

Frequent Co-Authors

Dorina C. Petriu
Dorina C. Petriu Carleton University
Marin Litoiu
Marin Litoiu York University
Daniel Amyot
Daniel Amyot University of Ottawa
Bran Selic
Bran Selic Malina Software Corp.
Elaine J. Weyuker
Elaine J. Weyuker University of Central Florida
James M. Bieman
James M. Bieman Colorado State University
Hassan Gomaa
Hassan Gomaa George Mason University
Jan Jürjens
Jan Jürjens University of Koblenz and Landau
Samuel Kounev
Samuel Kounev University of Würzburg
Paul Clements
Paul Clements BigLever Software

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