World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
12096
World Ranking
8621
National Ranking
24

Ilias O. Pappas 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 Ilias O. Pappas 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: 120 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Ilias O. Pappas 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 Ilias O. Pappas 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Ilias O. Pappas is affiliated with the Norwegian University of Science and Technology in Norway. Their research spans multiple disciplines, focusing extensively on business, management, accounting, social sciences, and computer science. Within these broad fields, their work delves into subfields such as sociology and political science, strategy and management, artificial intelligence, management information systems, and computer science applications.

Their research topics cover a diverse range of areas including big data and business intelligence, ethics and social impacts of AI, AI in service interactions, qualitative comparative analysis research, online learning and analytics, information systems theories and implementation, and digital transformation in industry.

Frequent coauthors in their research include Yogesh K. Dwivedi, Polyxeni Vassilakopoulou, Matti Mäntymäki, Michail N. Giannakos, and Patrick Mikalef.

Among the journals where they have commonly published are Information Systems Frontiers, International Journal of Information Management, HAPSc Policy Briefs Series, arXiv (Cornell University), and Computers and Education Artificial Intelligence.

Selected recent publications authored or coauthored by Ilias O. Pappas include:

  • "Opinion Paper: 'So what if ChatGPT wrote it?' Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy" (2023), published in International Journal of Information Management
  • "Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy" (2022), published in International Journal of Information Management
  • "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing" (2021), published in International Journal of Information Management
  • "AI-enabled adaptive learning systems: A systematic mapping of the literature" (2021), published in Computers and Education Artificial Intelligence
  • "Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach" (2020), published in International Journal of Information Management

Ilias O. Pappas has contributed to several books published by Springer Science+Business Media. These include titles such as "Responsible Design, Implementation and Use of Information and Communication Technology" (2020), "Responsible AI and Analytics for an Ethical and Inclusive Digitized Society" (2021), "Digital Transformation for a Sustainable Society in the 21st Century" (2020), "New Sustainable Horizons in Artificial Intelligence and Digital Solutions" (2023), and "Disruptive Innovation in a Digitally Connected Healthy World" (2024).

Best Publications

  • Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

    Unknown

  • Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing

    Ilias O. Pappas;Ilias O. Pappas;Arch G. Woodside

  • 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

  • AI-enabled adaptive learning systems: A systematic mapping of the literature

    Tumaini Kabudi;Ilias O. Pappas;Dag Håkon Olsen

  • Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions

    Ilias O. Pappas;Ilias O. Pappas;Panos E. Kourouthanassis;Michail N. Giannakos;Vassilios Chrissikopoulos

  • 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

  • User experience in personalized online shopping: a fuzzy-set analysis

    Ilias O. Pappas

  • 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

  • Multimodal Data as a means to understand the Learning Experience

    Michail N. Giannakos;Kshitij Sharma;Ilias O. Pappas;Ilias O. Pappas;Vassilis Kostakos

  • The interplay of online shopping motivations and experiential factors on personalized e-commerce

    Ilias O. Pappas;Panos E. Kourouthanassis;Michail N. Giannakos;George Lekakos

  • Understanding student retention in computer science education: The role of environment, gains, barriers and usefulness

    Michail N. Giannakos;Ilias O. Pappas;Letizia Jaccheri;Demetrios G. Sampson

  • 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

  • Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research

    Ilias O. Pappas;Michail N. Giannakos;Demetrios G. Sampson;Demetrios G. Sampson

  • Software startup engineering: A systematic mapping study

    Vebjørn Berg;Jørgen Birkeland;Anh Nguyen-Duc;Ilias O. Pappas

  • Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning

    Michail N Giannakos;Patrick Mikalef;Ilias O Pappas;Ilias O Pappas

  • Explaining User Experience in Mobile Gaming Applications: An fsQCA Approach

    Ilias O. Pappas;Patrick Mikalef;Michail N. Giannakos;Panos E. Kourouthanassis

  • Designing social commerce platforms based on consumers ’ intentions

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

  • Utilizing Multimodal Data Through fsQCA to Explain Engagement in Adaptive Learning

    Zacharoula Papamitsiou;Ilias O. Pappas;Kshitij Sharma;Michail N. Giannakos

  • Explaining travellers online information satisfaction: A complexity theory approach on information needs, barriers, sources and personal characteristics

    Panos E. Kourouthanassis;Patrick Mikalef;Ilias O. Pappas;Petros A. Kostagiolas

  • Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study.

    Jyoti Choudrie;Shruti Patil;Ketan Kotecha;Nikhil Matta

  • Investigating Factors Influencing Students' Intention to Dropout Computer Science Studies

    Ilias O. Pappas;Michail N. Giannakos;Letizia Jaccheri

Frequent Co-Authors

Michail N. Giannakos
Michail N. Giannakos Norwegian University of Science and Technology
Patrick Mikalef
Patrick Mikalef Norwegian University of Science and Technology
John Krogstie
John Krogstie Norwegian University of Science and Technology
Demetrios G. Sampson
Demetrios G. Sampson University of Piraeus
Matti Mäntymäki
Matti Mäntymäki University of Turku
Agata Błachnio
Agata Błachnio John Paul II Catholic University of Lublin
Aneta Przepiorka
Aneta Przepiorka John Paul II Catholic University of Lublin
Paul A. Pavlou
Paul A. Pavlou University of Miami
Anise M. S. Wu
Anise M. S. Wu University of Macau
Menachem Ben-Ezra
Menachem Ben-Ezra Ariel University

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