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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
72
Citations
16991
World Ranking
1709
National Ranking
61

Margo Seltzer 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 Margo Seltzer 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: 244 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Margo Seltzer 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 Margo Seltzer 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: 72 D-Index — 89th percentile

89% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2019 - Member of the National Academy of Engineering For engineering contributions to databases, file systems, and operating systems.
  • 2011 - ACM Fellow For contributions to data management and computing systems.
  • 1994 - Fellow of Alfred P. Sloan Foundation

Overview

Margo Seltzer is affiliated with the University of British Columbia in Canada and has an extensive research portfolio primarily in computer science. Their work spans various subfields, including artificial intelligence, computer networks and communications, information systems, computer vision and pattern recognition, and statistics and probability.

The scientist has contributed notably to several research topics, including machine learning and data classification, explainable artificial intelligence (XAI), scientific computing and data management, advanced graph neural networks, advanced malware detection techniques, mental health research topics, and statistical methods and inference.

Key recent publications by Margo Seltzer include:

  • Generalized and Scalable Optimal Sparse Decision Trees, 2020, arXiv (Cornell University)
  • Fast Sparse Decision Tree Optimization via Reference Ensembles, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Exploring the Whole Rashomon Set of Sparse Decision Trees, 2022, PubMed
  • A user-centered, learning asthma smartphone application for patients and providers, 2020, Learning Health Systems
  • SIGL: Securing Software Installations Through Deep Graph Learning, 2020, arXiv (Cornell University)

Frequent coauthors collaborating with Margo Seltzer include:

  • Cynthia Rudin
  • Chudi Zhong
  • Hayden McTavish
  • Rui Xin
  • Reto Achermann

The main venues in which Margo Seltzer has published research are:

  • arXiv (Cornell University)
  • PubMed
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Learning Health Systems
  • International Journal of Critical Infrastructure Protection

Awards recognizing contributions to the field include being named a Member of the National Academy of Engineering in 2019 for engineering contributions to databases, file systems, and operating systems. In 2011, they were honored as an ACM Fellow for contributions to data management and computing systems. Earlier, they received recognition as a Fellow of the Alfred P. Sloan Foundation in 1994.

Best Publications

  • Provenance-aware storage systems

    Kiran-Kumar Muniswamy-Reddy;David A. Holland;Uri Braun;Margo Seltzer

  • Berkeley DB

    Michael A. Olson;Keith Bostic;Margo Seltzer

  • Network-Aware Operator Placement for Stream-Processing Systems

    P. Pietzuch;J. Ledlie;J. Shneidman;M. Roussopoulos

  • The case for geographical push-caching

    J.S. Gwertzman;M. Seltzer

  • An implementation of a log-structured file system for UNIX

    Margo Seltzer;Keith Bostic;Marshall Kirk Mckusick;Carl Staelin

  • Dealing with disaster: surviving misbehaved kernel extensions

    Margo I. Seltzer;Yasuhiro Endo;Christopher Small;Keith A. Smith

  • World-wide web cache consistency

    James Gwertzman;Margo Seltzer

  • Disk Scheduling Revisited

    Margo Seltzer;Peter Chen;John Ousterhout

  • Journaling versus soft updates: asynchronous meta-data protection in file systems

    Margo I. Seltzer;Gregory R. Ganger;M. Kirk McKusick;Keith A. Smith

  • Network coordinates in the wild

    Jonathan Ledlie;Paul Gardner;Margo Seltzer

  • Non-volatile memory for fast, reliable file systems

    Mary Baker;Satoshi Asami;Etienne Deprit;John Ouseterhout

  • Improving Performance Isolation on Chip Multiprocessors via an Operating System Scheduler

    A. Fedorova;M. Seltzer

  • UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats

    Xueyuan Han;Thomas F. J.-M. Pasquier;Adam Bates;James Mickens

  • Special Issue: The First Provenance Challenge

    Luc Moreau;Bertram Ludäscher;Ilkay Altintas;Roger S. Barga

  • The First Provenance Challenge

    Luc Moreau;Bertram Ludaescher;Ilkay Altintas;Roger S. Barga

  • Passive NFS tracing of email and research workloads

    Daniel Ellard;Jonathan Ledlie;Pia Malkani;Margo Seltzer

  • Learning Certifiably Optimal Rule Lists for Categorical Data

    Elaine Angelino;Nicholas Larus-Stone;Daniel Alabi;Margo I. Seltzer

  • Provenance for the cloud

    Kiran-Kumar Muniswamy-Reddy;Peter Macko;Margo Seltzer

  • Hourglass: An Infrastructure for Connecting Sensor Networks and Applications

    Jeff Shneidman;Peter Pietzuch;Jonathan Ledlie;Mema Roussopoulos

  • File system logging versus clustering: a performance comparison

    Margo Seltzer;Keith A. Smith;Hari Balakrishnan;Jacqueline Chang

Frequent Co-Authors

Peter Pietzuch
Peter Pietzuch Imperial College London
Cynthia Rudin
Cynthia Rudin Duke University
Alexandra Fedorova
Alexandra Fedorova University of British Columbia
David C. Parkes
David C. Parkes Harvard University
Matt Welsh
Matt Welsh Fixie.ai
Xiaolan Zhang
Xiaolan Zhang Google (United States)
David Mazières
David Mazières Stanford University
Ryan P. Adams
Ryan P. Adams Princeton University
Jean Bacon
Jean Bacon University of Cambridge
Aaron M. Ellison
Aaron M. Ellison Harvard University

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