World's Best Scientists 2026 revealed!
Dag I. K. Sjøberg

Dag I. K. Sjøberg

D-Index & Metrics

Computer Science

D-Index
45
Citations
10308
World Ranking
7108
National Ranking
19

Dag I. K. Sjøberg 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 Dag I. K. Sjøberg 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Dag I. K. Sjøberg 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 Dag I. K. Sjøberg 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Dag I. K. Sjøberg is affiliated with the University of Oslo in Norway. Their research focuses primarily on the field of Computer Science, with substantive work exploring subfields such as Information Systems, Software, Computer Networks and Communications, Management Information Systems, and Artificial Intelligence.

The scientist's main topics of work include:

  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Advanced Software Engineering Methodologies
  • Outsourcing and Supply Chain Management
  • Service-Oriented Architecture and Web Services

Sjøberg has published in various academic venues, with frequent contributions to these outlets:

  • Journal of Systems and Software
  • IET Software
  • IEEE Transactions on Software Engineering
  • IEEE Access
  • SSRN Electronic Journal

The scientist has co-authored research with several frequent collaborators, among them:

  • Saulo S. de Toledo
  • Antonio Martini
  • Gunnar R. Bergersen
  • Knut Kjetil Holgeid
  • John Krogstie

Selected recent papers by Dag I. K. Sjøberg include:

  • "Construct Validity in Software Engineering," 2022, IEEE Transactions on Software Engineering
  • "Identifying architectural technical debt, principal, and interest in microservices: A multiple-case study," 2021, Journal of Systems and Software
  • "Benefits management in software development: A systematic review of empirical studies," 2021, IET Software
  • "Accumulation and Prioritization of Architectural Debt in Three Companies Migrating to Microservices," 2022, IEEE Access
  • "On the roles of software testers: An exploratory study," 2023, Journal of Systems and Software

Best Publications

  • Guide to Advanced Empirical Software Engineering

    Forrest Shull;Janice Singer;Dag I.K. Sjøberg

  • A survey of controlled experiments in software engineering

    Unknown

  • The Future of Empirical Methods in Software Engineering Research

    D.I.K. Sjoberg;T. Dyba;M. Jorgensen

  • Systematic review: A systematic review of effect size in software engineering experiments

    Vigdis By Kampenes;Tore Dybå;Jo E. Hannay;Dag I. K. Sjøberg

  • Quantifying the Effect of Code Smells on Maintenance Effort

    D. I. K. Sjoberg;A. Yamashita;B. C. D. Anda;A. Mockus

  • Evaluating Pair Programming with Respect to System Complexity and Programmer Expertise

    B. Arisholm;H. Gallis;T. Dyba;D.I.K. Sjoberg

  • A systematic review of statistical power in software engineering experiments

    Tore Dybå;Tore Dybå;Vigdis By Kampenes;Dag I.K. Sjøberg

  • The effectiveness of pair programming: A meta-analysis

    Jo E. Hannay;Tore Dybå;Erik Arisholm;Dag I. K. Sjøberg

  • Building Theories in Software Engineering

    Dag I. K. Sjøberg;Tore Dybå;Bente Cecilie Dahlum Anda;Jo Erskine Hannay

  • Teamwork quality and project success in software development

    Yngve Lindsjørn;Dag I.K. Sjøberg;Torgeir Dingsøyr;Gunnar R. Bergersen

  • A Systematic Review of Theory Use in Software Engineering Experiments

    J.E. Hannay;D.I.K. Sjoberg;T. Dyba

  • Are all code smells harmful? A study of God Classes and Brain Classes in the evolution of three open source systems

    Steffen M. Olbrich;Daniela S. Cruzes;Dag I.K. Sjoberg

  • Conducting realistic experiments in software engineering

    D.I.K. Sjoberg;B. Anda;E. Arisholm;T. Dyba

  • Estimating Software Development Effort Based on Use Cases-Experiences from Industry

    Bente Anda;Hege Dreiem;Dag I. K. Sjøberg;Dag I. K. Sjøberg;Magne Jørgensen;Magne Jørgensen

  • Quantifying schema evolution

    Dag I.K. Sjøberg

  • Effects of Personality on Pair Programming

    J.E. Hannay;E. Arisholm;H. Engvik;D.I.K. Sjoberg

  • Are Two Heads Better than One? On the Effectiveness of Pair Programming

    T. Dyba;E. Arisholm;D.I.K. Sjoberg;J.E. Hannay

  • Evaluating the effect of a delegated versus centralized control style on the maintainability of object-oriented software

    E. Arisholm;D.I.K. Sjoberg

  • The impact of customer expectation on software development effort estimates

    Magne Jørgensen;Dag I.K. Sjøberg

  • What works for whom, where, when, and why?: on the role of context in empirical software engineering

    T. Dyba;D. I. K. Sjiberg;D. S. Cruzes

  • Software effort estimation by analogy and regression toward the mean

    Magne Jørgensen;Ulf Indahl;Dag Sjøberg

Frequent Co-Authors

Magne Jørgensen
Magne Jørgensen Simula Research Laboratory
Malcolm Atkinson
Malcolm Atkinson University of Edinburgh
Per Runeson
Per Runeson Lund University
John Krogstie
John Krogstie Norwegian University of Science and Technology
David Budgen
David Budgen Durham University
Audris Mockus
Audris Mockus University of Tennessee at Knoxville
Barbara Kitchenham
Barbara Kitchenham Keele University
Martin Höst
Martin Höst Malmö University
Torgeir Dingsøyr
Torgeir Dingsøyr Norwegian University of Science and Technology

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