World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
32389
World Ranking
3320
National Ranking
1610

Mary Shaw 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 Mary Shaw 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: 274 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Mary Shaw 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 Mary Shaw 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: 59 D-Index — 77th percentile

77% 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

  • 1996 - ACM Fellow For significant contributions to software engineering, especially in the areas of software architecture, abstract data types, and software engineering education.
  • 1992 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1990 - IEEE Fellow For contributions to computer science education.

Overview

Mary Shaw is affiliated with Carnegie Mellon University in the United States. Their research spans across multiple domains, primarily focusing on computer science and medicine. Shaw's work includes significant contributions to software engineering techniques and practices, as well as clinical topics related to cardiac, anesthesia, and surgical outcomes.

Shaw's main fields of study are:

  • Computer Science
  • Medicine

Within these fields, their subfields of study include:

  • Information Systems
  • Cardiology and Cardiovascular Medicine
  • Artificial Intelligence
  • Statistics and Probability
  • Computer Science Applications

The primary topics of Shaw's research encompass:

  • Software Engineering Techniques and Practices
  • Software Engineering Research
  • Advanced Software Engineering Methodologies
  • Cardiac, Anesthesia and Surgical Outcomes
  • Statistical Methods in Clinical Trials
  • Cardiovascular Issues in Pregnancy
  • Anesthesia and Pain Management

Recent papers authored by Shaw include:

  • "Myths and mythconceptions: what does it mean to be a programming language, anyhow?" (2020), Proceedings of the ACM on Programming Languages
  • "Can Software Engineering Harness the Benefits of Advanced AI?" (2022), IEEE Software

Frequent coauthors collaborating with Shaw are:

  • Ethan Basch
  • Lauren J. Rogak
  • Aizhan Kyzayeva
  • Debbie A. Lawlor
  • Scott M. Nelson

Shaw has published in multiple venues, with notable frequencies in:

  • IEEE Software
  • UNC Libraries
  • arXiv (Cornell University)
  • Obstetric Anesthesia Digest
  • Proceedings of the ACM on Programming Languages

Awards and honors received include:

  • ACM Fellow (1996): For significant contributions to software engineering, especially in software architecture, abstract data types, and software engineering education
  • Fellow of the American Association for the Advancement of Science (AAAS) (1992)
  • IEEE Fellow (1990): For contributions to computer science education

Best Publications

  • Software architecture: perspectives on an emerging discipline

    Mary Shaw;David Garlan

  • Software architecture

    Mary Shaw

  • An Introduction to Software Architecture

    David Garlan;Mary Shaw

  • Software Engineering for Self-Adaptive Systems : A Second Research Roadmap

    Rogério de Lemos;Holger Giese;Hausi A. Müller;Mary Shaw

  • Software Engineering for Self-Adaptive Systems: A Research Roadmap

    Betty H. Cheng;Rogério Lemos;Holger Giese;Paola Inverardi

  • Abstractions for software architecture and tools to support them

    M. Shaw;R. DeLine;D.V. Klein;T.L. Ross

  • The state of the art in end-user software engineering

    Amy J. Ko;Robin Abraham;Laura Beckwith;Alan Blackwell

  • Engineering Self-Adaptive Systems through Feedback Loops

    Yuriy Brun;Giovanna Marzo Serugendo;Cristina Gacek;Holger Giese

  • Prospects for an engineering discipline of software

    M. Shaw

  • Estimating the numbers of end users and end user programmers

    C. Scaffidi;M. Shaw;B. Myers

  • The golden age of software architecture

    M. Shaw;P. Clements

  • An Introduction to the Construction and Verification of Alphard Programs

    W.A. Wulf;R.L. London;M. Shaw

  • Writing good software engineering research papers

    M. Shaw

  • A field guide to boxology: preliminary classification of architectural styles for software systems

    M. Shaw;P. Clements

  • Software engineering education: a roadmap

    Mary Shaw

  • Procedure Calls Are the Assembly Language of Software Interconnection: Connectors Deserve First-Class Status

    Mary Shaw

  • The coming-of-age of software architecture research

    Mary Shaw

  • Global variable considered harmful

    W. Wulf;Mary Shaw

  • Task-based adaptation for ubiquitous computing

    J.P. Sousa;V. Poladian;D. Garlan;B. Schmerl

  • What makes good research in software engineering

    Mary Shaw

  • Writing good software engineering research papers: minitutorial

    Mary Shaw

Frequent Co-Authors

David Garlan
David Garlan Carnegie Mellon University
Brad A. Myers
Brad A. Myers Carnegie Mellon University
William A. Wulf
William A. Wulf University of Virginia
Hausi A. Müller
Hausi A. Müller University of Victoria
Holger Giese
Holger Giese Hasso Plattner Institute
Marin Litoiu
Marin Litoiu York University
Danny Weyns
Danny Weyns KU Leuven
Margaret Burnett
Margaret Burnett Oregon State University
Yuriy Brun
Yuriy Brun University of Massachusetts Amherst
Nelly Bencomo
Nelly Bencomo Durham University

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