World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
7982
World Ranking
11481
National Ranking
4717

Mark Klein 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 Mark Klein 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: 127 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Mark Klein 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 Mark Klein 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Mark Klein is affiliated with Carnegie Mellon University in the United States and has contributed research primarily in the fields of Computer Science and Social Sciences. Their work spans a range of topics connected to open source software innovations, complex systems and decision making, mobile crowdsensing and crowdsourcing, ethics and social impacts of AI, wikis in education and collaboration, social media and politics, and misinformation and its impacts.

Klein's frequent coauthors include Valentin Robu, Nouhayla Majdoubi, Steffen Christensen, B. Schultz, and Gafari Abiodun Lukumon. This collaborative network reflects interdisciplinary engagement with topics spanning technology, communication, and operational research.

Publication venues where Klein's work has appeared multiple times include:

  • SSRN Electronic Journal
  • World Wide Web
  • Applied Mathematics & Optimization
  • DECISION
  • arXiv (Cornell University)

Among Klein's recent papers are:

  • "The medium is the message: toxicity declines in structured vs unstructured online deliberations," 2024, World Wide Web
  • "Crowd-Scale Deliberation For Complex Problems: A Progress Report," 2022, SSRN Electronic Journal
  • "Eigenrating: A Technique for Increasing the Accuracy of Crowd-based Idea Filtering," 2022, SSRN Electronic Journal
  • "The Medium Is the Message: Toxicity Declines in Structured vs Unstructured Online Deliberations," 2023, SSRN Electronic Journal

The research topics covered by Klein often address issues related to the structure and dynamics of online deliberation, crowd-based filtering methodologies, and the social implications of digital communication platforms.

Klein's work engages subfields such as computer science applications, communication, management science and operations research, safety research, and artificial intelligence, reflecting a broad interdisciplinary approach.

Best Publications

  • ATAM: Method for Architecture Evaluation

    Rick Kazman;Mark Klein;Paul Clements

  • The architecture tradeoff analysis method

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

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

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

  • A practitioner's handbook for real-time analysis

    Mark H. Klein;Thomas Ralya;Bill Pollak;Ray Obenza

  • Attribute-Based Architecture Styles

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

  • Quality attribute design primitives and the attribute driven design method

    Len Bass;Mark Klein;Felix Bachmann

  • Bounding memory interference delay in COTS-based multi-core systems

    Hyoseung Kim;Dionisio de Niz;Bjorn Andersson;Mark Klein

  • 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

  • Fixed priority scheduling periodic tasks with varying execution priority

    M.G. Harbour;M.H. Klein;J.P. Lehoczky

  • Timing analysis for fixed-priority scheduling of hard real-time systems

    M.G. Harbour;M.H. Klein;J.P. Lehoczky

  • Analysis of hierar hical fixed-priority scheduling

    S. Saewong;R.R. Rajkumar;J.P. Lehoczky;M.H. Klein

  • Attribute-Based Architectural Styles

    Mark Klein;Rick Kazman

  • Deriving Architectural Tactics: A Step Toward Methodical Architectural Design

    Felix Bachmann;Len Bass;Mark H. Klein

  • Rate-monotonic analysis for real-time industrial computing

    M.H. Klein;J.P. Lehoczky;R. Rajkumar

  • Rate Monotonic Analysis for Real-Time Systems

    Lui Sha;Mark H. Klein;John B. Goodenough

  • Designing software architectures to achieve quality attribute requirements

    Felix Bachmann;Leonard J. Bass;Mark Klein;Charles P. Shelton

  • Coordinated Bank and Cache Coloring for Temporal Protection of Memory Accesses

    Noriaki Suzuki;Hyoseung Kim;Dionisio De Niz;Bjorn Andersson

  • Integrating the Architecture Tradeoff Analysis Method (ATAM) with the Cost Benefit Analysis Method (CBAM)

    Robert L. Nord;Mario R. Barbacci;Paul Clements;Rick Kazman

  • The Duties, Skills, and Knowledge of Software Architects

    P. Clements;R. Kazman;M. Klein;D. Devesh

Frequent Co-Authors

Rick Kazman
Rick Kazman University of Hawaii at Manoa
Len Bass
Len Bass Carnegie Mellon University
Ragunathan Rajkumar
Ragunathan Rajkumar Carnegie Mellon University
Paul Clements
Paul Clements BigLever Software
John P. Lehoczky
John P. Lehoczky Carnegie Mellon University
John B. Goodenough
John B. Goodenough The University of Texas at Austin
Danny Weyns
Danny Weyns KU Leuven
Lui Sha
Lui Sha University of Illinois at Urbana-Champaign
Grace A. Lewis
Grace A. Lewis Carnegie Mellon University
Marin Litoiu
Marin Litoiu York University

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