World's Best Scientists 2026 revealed!
Bettina Berendt

Bettina Berendt

D-Index & Metrics

Computer Science

D-Index
32
Citations
7485
World Ranking
12910
National Ranking
121

Bettina Berendt 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 Bettina Berendt 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: 213 publications — 51st percentile

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

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

Bettina Berendt 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 Bettina Berendt 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Bettina Berendt is affiliated with KU Leuven in Belgium. Their research primarily lies at the intersection of computer science and social sciences, with a focus on artificial intelligence and its societal implications. The main fields of study for Bettina include Computer Science and Social Sciences, with subfields emphasizing Artificial Intelligence, Safety Research, Sociology and Political Science, Information Systems, and Communication.

The research topics frequently explored include Ethics and Social Impacts of AI, Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Artificial Intelligence in Healthcare and Education, and Social Media and Politics.

Bettina Berendt has contributed to several significant publications. Notable papers include:

  • Bias in data-driven artificial intelligence systems-An introductory survey (2020), published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • AI in education: learner choice and fundamental rights (2020), published in Learning Media and Technology
  • Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models (2022), published in Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective (2022), published in 2022 ACM Conference on Fairness, Accountability, and Transparency
  • Ethical Adversaries (2021), published in ACM SIGKDD Explorations Newsletter

The scientist often collaborates with other researchers. Frequent co-authors include Pieter Delobelle, Katharina Kinder-Kurlanda, Eirini Ntoutsi, Steffen Staab, and David Hartmann.

The publication venues where Bettina has appeared most often comprise arXiv (Cornell University), The International Review of Information Ethics, Lirias (KU Leuven), Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, and Learning Media and Technology.

Best Publications

  • Bias in data-driven artificial intelligence systems—An introductory survey

    Eirini Ntoutsi;Pavlos Fafalios;Ujwal Gadiraju;Vasileios Iosifidis

  • E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior

    Sarah Spiekermann;Jens Grossklags;Bettina Berendt

  • Privacy in e-commerce: stated preferences vs. actual behavior

    Bettina Berendt;Oliver Günther;Sarah Spiekermann

  • A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis

    Myra Spiliopoulou;Bamshad Mobasher;Bettina Berendt;Miki Nakagawa

  • Towards Semantic Web Mining

    Bettina Berendt;Andreas Hotho;Gerd Stumme

  • Analysis of navigation behaviour in web sites integrating multiple information systems

    Bettina Berendt;Myra Spiliopoulou

  • Semantic Web Mining

    Gerd Stumme;Andreas Hotho;Bettina Berendt

  • The impact of site structure and user environment on session reconstruction in Web usage analysis

    Bettina Berendt;Bamshad Mobasher;Miki Nakagawa;Myra Spiliopoulou

  • AI in Education: Learner Choice and Fundamental Rights.

    Bettina Berendt;Allison Littlejohn;Mike Blakemore

  • E-Privacy in 2nd Generation E-Commerce: Privacy Preferences versus Actual Behavior

    Sarah Spiekermann;Bettina Berendt;Jens Grossklags

  • The impact of site structure and user environment on session reconstruction in web usage analysis

    Bettina Berendt;Bamshad Mobasher;Miki Nakagawa;Myra Spiliopoulou

  • RobBERT: a Dutch RoBERTa-based Language Model.

    Pieter Delobelle;Thomas Winters;Bettina Berendt

  • Ubiquitous Social Networks: Opportunities and Challenges for Privacy-Aware User Modelling

    Sören Preibusch;Bettina Hoser;Seda Gürses;Bettina Berendt

  • Spatial Representation with Aspect Maps

    Bettina Berendt;Thomas Barkowsky;Christian Freksa;Stephanie Kelter

  • Conceptual user tracking

    Daniel Oberle;Bettina Berendt;Andreas Hotho;Jorge Gonzalez

  • AI for the Common Good?! Pitfalls, challenges, and ethics pen-testing

    Bettina Berendt

  • Investigating Distance Knowledge Using Virtual Environments

    Petra Jansen-Osmann;Bettina Berendt

  • Web Mining: From Web to Semantic Web

    B. Berendt;A. Hotho;D. Mladenic;M.W. van Someren

  • A roadmap for Web mining: From Web to semantic Web

    Bettina Berendt;Andreas Hotho;Dunja Mladenic;Maarten van Someren

  • Peddling or Creating? Investigating the Role of Twitter in News Reporting

    Ilija Subašić;Bettina Berendt

  • Using Site Semantics to Analyze, Visualize, and Support Navigation

    Bettina Berendt

  • Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence

    Bettina Berendt;Sören Preibusch

  • A user-centric approach to identifying best deployment strategies for language tools: the impact of content and access language on Web user behaviour and attitudes

    Bettina Berendt;Anett Kralisch

  • Web Mining: From Web to Semantic Web, First European Web Mining Forum, EMWF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers

    Bettina Berendt;Andreas Hotho;Dunja Mladenic;Maarten Van Someren

Frequent Co-Authors

Andreas Hotho
Andreas Hotho University of Würzburg
Myra Spiliopoulou
Myra Spiliopoulou Otto-von-Guericke University Magdeburg
Gerd Stumme
Gerd Stumme University of Kassel
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
Bamshad Mobasher
Bamshad Mobasher DePaul University
Giovanni Semeraro
Giovanni Semeraro University of Bari Aldo Moro
Marko Grobelnik
Marko Grobelnik Jožef Stefan Institute
Tammy Schellens
Tammy Schellens Ghent University
Allison Littlejohn
Allison Littlejohn University College London
Christian Freksa
Christian Freksa University of Bremen

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