World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
28614
World Ranking
2395
National Ranking
1196

Rick Kazman 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 Rick Kazman 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: 348 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Rick Kazman 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 Rick Kazman 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: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Rick Kazman is affiliated with the University of Hawaii at Manoa in the United States. Their research primarily focuses on software engineering and related domains within computer science. Over the course of their career, they have contributed extensively to the field, particularly in software engineering research and techniques.

Their recent notable publications include:

  • Success and Failure in Software Engineering: A Followup Systematic Literature Review (2020), published in IEEE Transactions on Engineering Management
  • A Study on Blockchain Architecture Design Decisions and Their Security Attacks and Threats (2022), published in ACM Transactions on Software Engineering and Methodology
  • Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations (2020), published in Automated Software Engineering
  • How Does Refactoring Impact Security When Improving Quality? A Security-Aware Refactoring Approach (2020), published in IEEE Transactions on Software Engineering
  • Recommending refactorings via commit message analysis (2020), published in Information and Software Technology

Rick Kazman has collaborated frequently with a group of coauthors, including:

  • Damian A. Tamburri
  • Carlos Paradis
  • Rami Bahsoon
  • Anthony Peruma
  • Yuanfang Cai

Their research has been disseminated through a variety of publication venues, reflecting the breadth of their work. The venues where they have published most often include:

  • arXiv (Cornell University)
  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Software Engineering
  • ACM Transactions on Software Engineering and Methodology

Rick Kazman's work spans topics centered on software engineering research, with a focus on:

  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Software System Performance and Reliability
  • Advanced Software Engineering Methodologies
  • Software Reliability and Analysis Research
  • Open Source Software Innovations
  • Advanced Malware Detection Techniques

Their contributions are situated within the main field of computer science, with significant emphasis on subfields such as:

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Software
  • Computer Science Applications

In addition to journal and conference publications, Rick Kazman has authored books, including a publication by The MIT Press titled "Technical Debt in Practice" (2021).

Best Publications

  • Software Architecture in Practice

    Len Bass;Paul Clements;Rick Kazman

  • Evaluating Software Architectures: Methods and Case Studies

    Paul Clements;Rick Kazman;Mark M. Klein

  • ATAM: Method for Architecture Evaluation

    Rick Kazman;Mark Klein;Paul Clements

  • The architecture tradeoff analysis method

    R. Kazman;M. Klein;M. Barbacci;T. Longstaff

  • SAAM: a method for analyzing the properties of software architectures

    R. Kazman;L. Bass;G. Abowd;M. Webb

  • Scenario-based analysis of software architecture

    R. Kazman;G. Abowd;L. Bass;P. Clements

  • Ultra-Large-Scale Systems: The Software Challenge of the Future

    Linda Northrop;Peter Feiler;Richard P Gabriel;John Goodenough

  • Software Architecture in Practice: Addison-Wesley

    Leonard J. Bass;Paul C. Clements;Rick Kazman

  • Managing technical debt in software-reliant systems

    Nanette Brown;Yuanfang Cai;Yuepu Guo;Rick Kazman

  • Attribute-Based Architecture Styles

    Mark H. Klein;Rick Kazman;Leonard J. Bass;S. Jeromy Carrière

  • Playing Detective: Reconstructing Software Architecture from Available Evidence

    Rick Kazman;S. Jeromy Carrière

  • WebQuery: searching and visualizing the Web through connectivity

    S. Jeromy Carrière;Rick Kazman

  • Quantifying the costs and benefits of architectural decisions

    Rick Kazman;Jai Asundi;Mark Klein

  • Experience with performing architecture tradeoff analysis

    Rick Kazman;Mario Barbacci;Mark Klein;S. Jeromy Carrière

  • Recommended Best Industrial Practice for Software Architecture Evaluation.

    Gregory Abowd;Len Bass;Paul Clements;Rick Kazman

  • Requirements for integrating software architecture and reengineering models: CORUM II

    R. Kazman;S.G. Woods;S.J. Carriere

  • The metropolis model a new logic for development of crowdsourced systems

    Rick Kazman;Hong-Mei Chen

  • Interacting with Huge Hierarchies: Beyond Cone Trees

    Jeromy Carriere;Rick Kazman

  • Decision-making techniques for software architecture design: A comparative survey

    Davide Falessi;Giovanni Cantone;Rick Kazman;Philippe Kruchten

  • Attribute-Based Architectural Styles

    Mark Klein;Rick Kazman

  • Software Architecture in Practice (Second Edition)

    Len Bass;Paul Clements;Rick Kazman

Frequent Co-Authors

Yuanfang Cai
Yuanfang Cai Drexel University
Len Bass
Len Bass Carnegie Mellon University
Paul Clements
Paul Clements BigLever Software
Gregory D. Abowd
Gregory D. Abowd Northeastern University
Damian A. Tamburri
Damian A. Tamburri Eindhoven University of Technology
Kevin Sullivan
Kevin Sullivan University of Virginia
Rami Bahsoon
Rami Bahsoon University of Birmingham
Jonathan Aldrich
Jonathan Aldrich Carnegie Mellon University
Bradley Schmerl
Bradley Schmerl Carnegie Mellon University
Fabio Palomba
Fabio Palomba University of Salerno

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