World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
57
Citations
13565
World Ranking
1766
National Ranking
11

Engineering and Technology

D-Index
56
Citations
12889
World Ranking
2789
National Ranking
15

Michail N. Giannakos publication distribution in Social Sciences and Humanities in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Social Sciences and Humanities in 2026. The highlighted bar marks where Michail N. Giannakos sits on this spectrum.

44–53 publications: 28 scientists 54–63 publications: 61 scientists 64–73 publications: 161 scientists 74–83 publications: 225 scientists 84–93 publications: 302 scientists 94–103 publications: 390 scientists 104–113 publications: 406 scientists 114–123 publications: 474 scientists 124–133 publications: 453 scientists 134–143 publications: 434 scientists 144–153 publications: 407 scientists 154–163 publications: 411 scientists 164–173 publications: 391 scientists 174–183 publications: 313 scientists 184–193 publications: 319 scientists 194–203 publications: 304 scientists 204–213 publications: 285 scientists 214–223 publications: 246 scientists 224–233 publications: 213 scientists 234–243 publications: 170 scientists 244–253 publications: 167 scientists 254–263 publications: 162 scientists 264–273 publications: 138 scientists 274–283 publications: 138 scientists 284–293 publications: 113 scientists 294–303 publications: 106 scientists 304–313 publications: 95 scientists 314–323 publications: 101 scientists 324–333 publications: 81 scientists 334–343 publications: 69 scientists 344–353 publications: 56 scientists 354–363 publications: 36 scientists 364–373 publications: 42 scientists 374–383 publications: 41 scientists 384–393 publications: 44 scientists 394–403 publications: 27 scientists 404–413 publications: 30 scientists 414–423 publications: 20 scientists 424–433 publications: 29 scientists 434–443 publications: 29 scientists 444–453 publications: 25 scientists 454–463 publications: 19 scientists 464–473 publications: 21 scientists 474–483 publications: 11 scientists 484–493 publications: 17 scientists 494–503 publications: 7 scientists 504–513 publications: 6 scientists 514–523 publications: 12 scientists 524–533 publications: 10 scientists 534–543 publications: 7 scientists 544–553 publications: 6 scientists 554–563 publications: 12 scientists 564–569 publications: 8 scientists 570+ publications: 100 scientists
44 publications 570+

This scientist: 286 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 570 publications or more.

Michail N. Giannakos D-index placement in Social Sciences and Humanities in 2026

The chart shows the D-index (discipline H-index) distribution of Social Sciences and Humanities scientists ranked by Research.com in 2026. The highlighted bar marks where Michail N. Giannakos sits on this spectrum.

30 D-Index: 177 scientists 31 D-Index: 210 scientists 32 D-Index: 222 scientists 33 D-Index: 188 scientists 34 D-Index: 181 scientists 35 D-Index: 243 scientists 36 D-Index: 261 scientists 37 D-Index: 272 scientists 38 D-Index: 278 scientists 39 D-Index: 300 scientists 40 D-Index: 297 scientists 41 D-Index: 308 scientists 42 D-Index: 313 scientists 43 D-Index: 300 scientists 44 D-Index: 269 scientists 45 D-Index: 261 scientists 46 D-Index: 228 scientists 47 D-Index: 251 scientists 48 D-Index: 203 scientists 49 D-Index: 186 scientists 50 D-Index: 187 scientists 51 D-Index: 166 scientists 52 D-Index: 138 scientists 53 D-Index: 141 scientists 54 D-Index: 131 scientists 55 D-Index: 137 scientists 56 D-Index: 109 scientists 57 D-Index: 129 scientists 58 D-Index: 95 scientists 59 D-Index: 105 scientists 60 D-Index: 106 scientists 61 D-Index: 86 scientists 62 D-Index: 94 scientists 63 D-Index: 77 scientists 64 D-Index: 79 scientists 65 D-Index: 59 scientists 66 D-Index: 68 scientists 67 D-Index: 51 scientists 68 D-Index: 49 scientists 69 D-Index: 40 scientists 70 D-Index: 43 scientists 71 D-Index: 40 scientists 72 D-Index: 50 scientists 73 D-Index: 46 scientists 74 D-Index: 43 scientists 75 D-Index: 45 scientists 76 D-Index: 45 scientists 77 D-Index: 30 scientists 78 D-Index: 25 scientists 79 D-Index: 31 scientists 80 D-Index: 29 scientists 81 D-Index: 18 scientists 82 D-Index: 21 scientists 83 D-Index: 26 scientists 84 D-Index: 15 scientists 85 D-Index: 15 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 12 scientists 89 D-Index: 7 scientists 90 D-Index: 19 scientists 91 D-Index: 20 scientists 92 D-Index: 13 scientists 93 D-Index: 9 scientists 94 D-Index: 13 scientists 95 D-Index: 8 scientists 96 D-Index: 7 scientists 97 D-Index: 6 scientists 98 D-Index: 6 scientists 99 D-Index: 6 scientists 100+ D-Index: 97 scientists
30 D-Index 100+

This scientist: 57 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 100 D-Index or more.

Overview

Michail N. Giannakos is affiliated with the Norwegian University of Science and Technology in Norway. Their research encompasses multiple fields with a focus on Computer Science, Psychology, and Social Sciences, with publication counts of 102, 52, and 49 respectively.

The scientist has contributed significantly to several subfields, including Computer Science Applications, Developmental and Educational Psychology, Education, Artificial Intelligence, and Human-Computer Interaction. Their work centers on themes such as Online Learning and Analytics, Innovative Teaching and Learning Methods, Child Development and Digital Technology, Intelligent Tutoring Systems and Adaptive Learning, Educational Games and Gamification, Online and Blended Learning, and Innovative Human-Technology Interaction.

Recent publications authored by Michail N. Giannakos include:

  • The promise and challenges of generative AI in education, 2024, Behaviour and Information Technology
  • Multimodal data capabilities for learning: What can multimodal data tell us about learning?, 2020, British Journal of Educational Technology
  • The promise and challenges of multimodal learning analytics, 2020, British Journal of Educational Technology
  • Eye-tracking and artificial intelligence to enhance motivation and learning, 2020, Smart Learning Environments
  • Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach, 2020, International Journal of Information Management

Frequent co-authors collaborating with Michail N. Giannakos include:

  • Kshitij Sharma
  • Sofia Papavlasopoulou
  • Zacharoula Papamitsiou
  • Demetrios G. Sampson
  • Dirk Ifenthaler

Michail N. Giannakos has published in several notable academic venues, with the most contributions appearing in the International Journal of Child-Computer Interaction, British Journal of Educational Technology, Behaviour and Information Technology, IEEE Transactions on Learning Technologies, and SSRN Electronic Journal.

Their book publications are primarily with Springer International Publishing and Springer Nature. Titles published include Educational Data Analytics for Teachers and School Leaders (2022), Educational Data Literacy (2022), Experimental Studies in Learning Technology and Child-Computer Interaction (2022), and Non-Formal and Informal Science Learning in the ICT Era (2020).

Best Publications

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

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

  • 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

  • Moderating effects of online shopping experience on customer satisfaction and repurchase intentions

    Ilias O. Pappas;Adamantia G. Pateli;Michail N. Giannakos;Vassilios Chrissikopoulos

  • Introductory programming: a systematic literature review

    Andrew Luxton-Reilly;Simon;Ibrahim Albluwi;Brett A. Becker

  • Using social media for work: Losing your time or improving your work?

    Ioannis Leftheriotis;Michail N. Giannakos

  • 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

  • Empirical studies on the Maker Movement, a promising approach to learning: A literature review

    Sofia Papavlasopoulou;Michail N. Giannakos;Letizia Jaccheri

  • Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning

    Katerina Mangaroska;Michail Giannakos

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

    Patrick Mikalef;Michail Giannakos;Adamantia Pateli

  • Enjoy and learn with educational games: Examining factors affecting learning performance

    Michail N. Giannakos

  • Computational thinking education: Issues and challenges

    Charoula Angeli;Michail N. Giannakos

  • Reviewing the flipped classroom research: reflections for computer science education

    Michail N. Giannakos;John Krogstie;Nikos Chrisochoides

  • Exploring the video-based learning research: A review of the literature

    Michail N. Giannakos

  • Multimodal Data as a means to understand the Learning Experience

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

  • Making Sense of Video Analytics: Lessons Learned from Clickstream Interactions, Attitudes, and Learning Outcome in a Video-Assisted Course.

    Michail N. Giannakos;Konstantinos Chorianopoulos;Nikos Chrisochoides

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

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

  • Shiny happy people buying: the role of emotions on personalized e-shopping

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

  • Investigating the Potential of the Flipped Classroom Model in K-12 ICT Teaching and Learning: An Action Research Study.

    Christoforos Kostaris;Stylianos Sergis;Demetrios G. Sampson;Michail N. Giannakos

  • Multimodal data capabilities for learning: What can multimodal data tell us about learning?

    Kshitij Sharma;Michail N. Giannakos

  • A Global Snapshot of Computer Science Education in K-12 Schools

    Peter Hubwieser;Michail N. Giannakos;Marc Berges;Torsten Brinda

  • 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

Frequent Co-Authors

Ilias O. Pappas
Ilias O. Pappas 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
Pierre Dillenbourg
Pierre Dillenbourg École Polytechnique Fédérale de Lausanne
Panos Markopoulos
Panos Markopoulos Eindhoven University of Technology
Janet C. Read
Janet C. Read University of Central Lancashire
Vassilis Kostakos
Vassilis Kostakos University of Melbourne
Anise M. S. Wu
Anise M. S. Wu University of Macau
Menachem Ben-Ezra
Menachem Ben-Ezra Ariel University

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