World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
84
Citations
43373
World Ranking
825
National Ranking
448

David Garlan 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 Garlan 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: 431 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

David Garlan 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 Garlan 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: 84 D-Index — 94th percentile

94% 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

  • 2013 - ACM Fellow For contributions to the development of software architecture as a discipline in software engineering.
  • 2008 - ACM Senior Member

Overview

David Garlan is a researcher affiliated with Carnegie Mellon University in the United States. Their work primarily spans the fields of Computer Science and Engineering, with a focus on subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Software, and Electrical and Electronic Engineering.

The scientist's research topics encompass a range of subjects related to software and systems engineering, including:

  • Advanced Software Engineering Methodologies
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Service-Oriented Architecture and Web Services
  • Software Engineering Research
  • Software-Defined Networks and 5G
  • Radiation Effects in Electronics

Recent publications by David Garlan include:

  • "The uncertainty interaction problem in self-adaptive systems," 2022, published in Software & Systems Modeling
  • "A declarative approach and benchmark tool for controlled evaluation of microservice resiliency patterns," 2024, published in Software Practice and Experience
  • "Generative Manufacturing: A requirements and resource-driven approach to part making," 2024, available on arXiv (Cornell University)

Frequent coauthors collaborating with David Garlan are:

  • Javier Cámara
  • Bradley Schmerl
  • Eunsuk Kang
  • Javier Troya
  • Antonio Vallecillo

The main publication venues for the scientist include:

  • Software & Systems Modeling
  • Software Practice and Experience
  • arXiv (Cornell University)

David Garlan has been recognized within the professional community with distinctions such as:

  • ACM Fellow, awarded in 2013, for contributions to the development of software architecture as a discipline in software engineering
  • ACM Senior Member, awarded in 2008

Best Publications

  • Software architecture: perspectives on an emerging discipline

    Mary Shaw;David Garlan

  • Documenting Software Architectures: Views and Beyond

    Paul Clements;David Garlan;Reed Little;Robert Nord

  • An Introduction to Software Architecture

    David Garlan;Mary Shaw

  • A formal basis for architectural connection

    Robert Allen;David Garlan

  • Rainbow: architecture-based self-adaptation with reusable infrastructure

    D. Garlan;S.-W. Cheng;A.-C. Huang;B. Schmerl

  • Rainbow: architecture-based self-adaptation with reusable infrastructure

    Shang-Wen Cheng;An-Cheng Huang;D. Garlan;B. Schmerl

  • Project Aura: toward distraction-free pervasive computing

    D. Garlan;D.P. Siewiorek;A. Smailagic;P. Steenkiste

  • Acme: an architecture description interchange language

    David Garlan;Robert Monroe;David Wile

  • Acme: architectural description of component-based systems

    David Garlan;Robert T. Monroe;David Wile

  • A Formal Approach to Software Architectures

    Robert John Allen;David Garlan

  • Architectural mismatch or why it's hard to build systems out of existing parts

    David Garlan;Robert Allen;John Ockerbloom

  • Aura: an Architectural Framework for User Mobility in Ubiquitous Computing Environments

    João Pedro Sousa;David Garlan

  • Architectural mismatch: why reuse is so hard

    D. Garlan;R. Allen;J. Ockerbloom

  • Context is key

    Joëlle Coutaz;James L. Crowley;Simon Dobson;David Garlan

  • Formalizing architectural connection

    Robert Allen;David Garlan

  • Software architecture: a roadmap

    David Garlan

  • Introduction to the Special Issue on Software Architecture

    David Garlan;Dewayne E. Perry

  • Specifying and Analyzing Dynamic Software Architectures

    Robert Allen;Rémi Douence;David Garlan

  • Exploiting style in architectural design environments

    David Garlan;Robert Allen;John Ockerbloom

  • Model-based adaptation for self-healing systems

    David Garlan;Bradley Schmerl

  • Architectural Mismatch: Why Reuse Is Still So Hard 25t h- a nniver sa r y to p p icks

    David Garlan;Robert Allen;John Ockerbloom

Frequent Co-Authors

Bradley Schmerl
Bradley Schmerl Carnegie Mellon University
Javier Cámara
Javier Cámara University of York
Mary Shaw
Mary Shaw Carnegie Mellon University
Hausi A. Müller
Hausi A. Müller University of Victoria
Jonathan Aldrich
Jonathan Aldrich Carnegie Mellon University
Marin Litoiu
Marin Litoiu York University
Paul Clements
Paul Clements BigLever Software
Richard N. Taylor
Richard N. Taylor University of California, Irvine
Jeff Magee
Jeff Magee Imperial College London
David Notkin
David Notkin University of Washington

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