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Computer Science
Norway
2026

D-Index & Metrics

Computer Science

D-Index
52
Citations
15569
World Ranking
4983
National Ranking
10

Patrick Mikalef 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 Patrick Mikalef 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 147 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Patrick Mikalef 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 Patrick Mikalef sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 52 D-Index — 65th percentile

65% 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

  • 2026 - Research.com Computer Science in Norway Leader Award

Overview

Patrick Mikalef is affiliated with the Norwegian University of Science and Technology in Norway. Their research primarily focuses on the field of Business, Management and Accounting, with a significant specialization in Management Information Systems.

Their work spans several key subfields including:

  • Management Information Systems
  • Strategy and Management
  • Sociology and Political Science
  • Industrial and Manufacturing Engineering
  • Information Systems and Management

Main topics addressed in their studies are:

  • Big Data and Business Intelligence
  • Digital Transformation in Industry
  • Technology Adoption and User Behaviour
  • Innovation and Knowledge Management
  • Ethics and Social Impacts of AI
  • Digital Marketing and Social Media
  • Innovation, Sustainability, Human-Machine Systems

Patrick Mikalef has authored numerous articles in various academic journals and conferences. Recent publications include:

  • "Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance," 2021, Information & Management

Their frequent coauthors include:

  • John Krogstie
  • Kieran Conboy
  • Ilias O. Pappas
  • Emmanouil Papagiannidis
  • Rogier van de Wetering

Patrick Mikalef has contributed to academic venues such as:

  • Information Systems Frontiers
  • Information & Management
  • International Journal of Information Management
  • Technological Forecasting and Social Change
  • Journal of Business Research

In addition to scholarly articles, they have authored a book published by Springer Science+Business Media titled Digital Transformation for a Sustainable Society in the 21st Century (2020).

Best Publications

  • Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance

    Patrick Mikalef;Manjul Gupta

  • Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA

    Patrick Mikalef;Adamantia Pateli

  • Big data analytics capabilities: a systematic literature review and research agenda

    Patrick Mikalef;Ilias O. Pappas;John Krogstie;Michail Giannakos

  • Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities

    Patrick Mikalef;John Krogstie;Ilias O. Pappas;Ilias O. Pappas;Paul A. Pavlou

  • Artificial Intelligence and Business Value: a Literature Review

    Ida Merete Enholm;Emmanouil Papagiannidis;Patrick Mikalef;John Krogstie

  • Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies

    Eivind Kristoffersen;Fenna Blomsma;Patrick Mikalef;Jingyue Li

  • Artificial intelligence in information systems research: A systematic literature review and research agenda

    Christopher Collins;Denis Dennehy;Kieran Conboy;Patrick Mikalef

  • Big data analytics and firm performance: Findings from a mixed-method approach

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

    Ilias O. Pappas;Patrick Mikalef;Michail N. Giannakos;John Krogstie

  • Shopping and word-of-mouth intentions on social media

    Patrick Mikalef;Michail Giannakos;Adamantia Pateli

  • The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance

    Eivind Kristoffersen;Eivind Kristoffersen;Patrick Mikalef;Patrick Mikalef;Fenna Blomsma;Jingyue Li

  • Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities

    Patrick Mikalef;John Krogstie

  • The role of information governance in big data analytics driven innovation

    Patrick Mikalef;Maria Boura;George Lekakos;John Krogstie

  • Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda

    Kieran Conboy;Patrick Mikalef;Denis Dennehy;John Krogstie

  • Big data and business analytics: A research agenda for realizing business value

    Patrick Mikalef;Patrick Mikalef;Ilias O. Pappas;Ilias O. Pappas;John Krogstie;Paul A. Pavlou

  • Building dynamic capabilities by leveraging big data analytics: : The role of organizational inertia

    Patrick Mikalef;Rogier van de Wetering;John Krogstie

  • Enabling AI capabilities in government agencies: A study of determinants for European municipalities

    Patrick Mikalef;Kristina Lemmer;Cindy Schaefer;Maija Ylinen

  • Responsible AI for Digital Health: a Synthesis and a Research Agenda

    Cristina Trocin;Patrick Mikalef;Zacharoula Papamitsiou;Kieran Conboy

  • IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment

    Patrick Mikalef;Adamantia G. Pateli;Rogier van de Wetering

  • Identifying the combinations of motivations and emotions for creating satisfied users in SNSs : An fsQCA approach

    Ilias O. Pappas;Ilias O. Pappas;Sofia Papavlasopoulou;Patrick Mikalef;Michail N. Giannakos

  • Purchasing alignment under multiple contingencies: a configuration theory approach.

    Patrick Mikalef;Adamantia G. Pateli;Ronald S. Batenburg;Rogier van de Wetering

Frequent Co-Authors

Ilias O. Pappas
Ilias O. Pappas Norwegian University of Science and Technology
Michail N. Giannakos
Michail N. Giannakos Norwegian University of Science and Technology
John Krogstie
John Krogstie Norwegian University of Science and Technology
Kieran Conboy
Kieran Conboy University of Galway
Matti Mäntymäki
Matti Mäntymäki University of Turku
Paul A. Pavlou
Paul A. Pavlou University of Miami
Pär J. Ågerfalk
Pär J. Ågerfalk Uppsala University
Sudha Ram
Sudha Ram University of Arizona
Sheshadri Chatterjee
Sheshadri Chatterjee NIIT University
Kevin Crowston
Kevin Crowston Syracuse University

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