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D-Index & Metrics

Computer Science

D-Index
42
Citations
12192
World Ranking
8182
National Ranking
3508

Bradley Schmerl 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 Bradley Schmerl 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Bradley Schmerl 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 Bradley Schmerl 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

  • 2015 - ACM Senior Member

Overview

Bradley Schmerl is affiliated with Carnegie Mellon University in the United States. Their research falls primarily within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering, and Management Information Systems.

The main areas of research covered by Schmerl include Advanced Software Engineering Methodologies, Software System Performance and Reliability, Software Engineering Research, AI-based Problem Solving and Planning, Flexible and Reconfigurable Manufacturing Systems, Business Process Modeling and Analysis, and Network Security and Intrusion Detection.

Frequent venues where Schmerl publishes include:

  • arXiv (Cornell University)
  • Journal of Systems and Software
  • ACM Transactions on Autonomous and Adaptive Systems
  • Zenodo (CERN European Organization for Nuclear Research)
  • Software & Systems Modeling

Recent publications by Schmerl feature topics related to self-adaptive systems, robotics software architecture, and architectural design tradeoffs. Selected recent papers include:

  • The uncertainty interaction problem in self-adaptive systems, 2022, Software & Systems Modeling
  • Mining guidelines for architecting robotics software, 2021, Journal of Systems and Software
  • Explaining quality attribute tradeoffs in automated planning for self-adaptive systems, 2022, Journal of Systems and Software
  • CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots, 2023, IEEE Robotics and Automation Letters
  • ExTrA: Explaining architectural design tradeoff spaces via dimensionality reduction, 2022, Journal of Systems and Software

Collaborations have been an element of Schmerl's work, with frequent coauthors including:

  • David Garlan
  • Javier Cámara
  • Pooyan Jamshidi
  • Rebekka Wohlrab
  • Md Abir Hossen

In 2015, Schmerl was recognized as an ACM Senior Member. This designation reflects a level of professional achievement and standing within the field.

Best Publications

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

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

  • 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

  • Model-based adaptation for self-healing systems

    David Garlan;Bradley Schmerl

  • On Patterns for Decentralized Control in Self-Adaptive Systems

    Danny Weyns;Bradley R. Schmerl;Vincenzo Grassi;Sam Malek

  • Architecture-based self-adaptation in the presence of multiple objectives

    Shang-Wen Cheng;David Garlan;Bradley Schmerl

  • Increasing system dependability through architecture-based self-repair

    David Garlan;Shang-Wen Cheng;Bradley Schmerl

  • Task-based adaptation for ubiquitous computing

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

  • Proactive self-adaptation under uncertainty: a probabilistic model checking approach

    Gabriel A. Moreno;Javier Cámara;David Garlan;Bradley Schmerl

  • Evaluating the effectiveness of the Rainbow self-adaptive system

    Shang-Wen Cheng;David Garlan;Bradley Schmerl

  • Using Gauges for Architecture-Based Monitoring and Adaptation

    David Garlan;Bradley Schmerl;Jichuan Chang

  • Software Architecture-Based Adaptation for Pervasive Systems

    Shang-Wen Cheng;David Garlan;Bradley R. Schmerl;João Pedro Sousa

  • Software Architecture-Based Self-Adaptation

    David Garlan;Bradley R. Schmerl;Shang-Wen Cheng

  • DiscoTect: a system for discovering architectures from running systems

    Hong Yan;David Garlan;Bradley Schmerl;Jonathan Aldrich

  • Exploiting architectural design knowledge to support self-repairing systems

    Bradley Schmerl;David Garlan

  • Documenting Component and Connector Views with UML 2.0

    James Ivers;Paul Clements;David Garlan;Robert Nord

  • Discovering Architectures from Running Systems

    B. Schmerl;J. Aldrich;D. Garlan;R. Kazman

  • AcmeStudio: supporting style-centered architecture development

    Bradley Schmerl;David Garlan

  • Using Architectural Style as a Basis for System Self-repair

    Shang-Wen Cheng;David Garlan;Bradley R. Schmerl;João Pedro Sousa

  • Software engineering for self-adaptive systems: research challenges in the provision of assurances

    Rogério de Lemos;David Garlan;Carlo Ghezzi;Holger Giese

Frequent Co-Authors

David Garlan
David Garlan Carnegie Mellon University
Javier Cámara
Javier Cámara University of York
Danny Weyns
Danny Weyns KU Leuven
Jonathan Aldrich
Jonathan Aldrich Carnegie Mellon University
Sam Malek
Sam Malek University of California, Irvine
Bruce H. Krogh
Bruce H. Krogh Carnegie Mellon University
Yuriy Brun
Yuriy Brun University of Massachusetts Amherst
Rick Kazman
Rick Kazman University of Hawaii at Manoa
Peter Steenkiste
Peter Steenkiste Carnegie Mellon University
Luciano Baresi
Luciano Baresi Polytechnic University of Milan

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