World's Best Scientists 2026 revealed!
Mihaela van der Schaar

Mihaela van der Schaar

Award Badge
Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
26113
World Ranking
1139
National Ranking
64

Mihaela van der Schaar 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 Mihaela van der Schaar 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: 905 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Mihaela van der Schaar 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 Mihaela van der Schaar 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: 79 D-Index — 92nd percentile

92% 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award

Overview

Mihaela van der Schaar is affiliated with the University of Cambridge in the United Kingdom. Their research spans interdisciplinary fields, primarily focusing on Computer Science and Medicine with a substantial number of publications in both areas.

The main fields of study include:

  • Computer Science
  • Medicine

Within these fields, van der Schaar has contributed extensively to several subfields:

  • Artificial Intelligence
  • Statistics and Probability
  • Cardiology and Cardiovascular Medicine
  • Surgery
  • Management Science and Operations Research

Their research topics emphasize:

  • Machine Learning in Healthcare
  • Advanced Causal Inference Techniques
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification
  • Statistical Methods in Clinical Trials
  • Statistical Methods and Inference
  • Health Systems, Economic Evaluations, Quality of Life

Van der Schaar has published in a variety of academic venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Lancet Digital Health
  • Journal of the American College of Cardiology
  • ACM Transactions on Computing for Healthcare

Representative recent papers authored or co-authored by van der Schaar are:

  • "Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study" (2020, The Lancet Global Health)
  • "Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)" (2020, IEEE Journal of Biomedical and Health Informatics)
  • "Deep Generative Models for 3D Linker Design" (2020, Journal of Chemical Information and Modeling)
  • "Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example" (2021, Critical Care Medicine)
  • "Artificial intelligence and machine learning algorithms for early detection of skin cancer in community and primary care settings: a systematic review" (2022, The Lancet Digital Health)

Frequent co-authors collaborating with van der Schaar include:

  • Zhaozhi Qian
  • Ahmed M. Alaa
  • Ioana Bica
  • Nabeel Seedat
  • Fergus Imrie

Best Publications

  • GAIN: Missing Data Imputation using Generative Adversarial Nets

    Jinsung Yoon;James Jordon;Mihaela van der Schaar

  • DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

    Changhee Lee;William R. Zame;Jinsung Yoon;Mihaela van der Schaar

  • The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP

    H.M. Radha;M. van der Schaar;Yingwei Chen

  • Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.

    Ahmed M. Alaa;Thomas Bolton;Thomas Bolton;Emanuele Di Angelantonio;Emanuele Di Angelantonio;James H. F. Rudd

  • Time-series Generative Adversarial Networks

    Jinsung Yoon;Daniel Jarrett;Mihaela van der Schaar

  • Modulation algorithm for a mpeg-4 fgs wireless transmission system

    Joseph Meehan;Der Schaar Mihaela Van

  • Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs

    M. van der Schaar;S. Krishnamachari;Sunghyun Choi;Xiaofeng Xu

  • Reputation-based incentive protocols in crowdsourcing applications

    Yu Zhang;Mihaela van der Schaar

  • PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees

    James Jordon;Jinsung Yoon;Mihaela van der Schaar

  • Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms

    Unknown

  • Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning

    Byung-Gook Kim;Yu Zhang;Mihaela van der Schaar;Jang-Won Lee

  • Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks

    Sabrina Muller;Onur Atan;Mihaela van der Schaar;Anja Klein

  • Personalized Education in the Artificial Intelligence Era: What to Expect Next

    Setareh Maghsudi;Andrew Lan;Jie Xu;Mihaela van der Schaar

  • Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

    Changhee Lee;Jinsung Yoon;Mihaela van der Schaar

  • Sex Differences in Outcomes After STEMI: Effect Modification by Treatment Strategy and Age.

    Edina Cenko;Jinsung Yoon;Sasko Kedev;Goran Stankovic

  • Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation

    Unknown

  • SISTEMA Y METODO DE CODIFICACION DE VIDEO AJUSTABLE A ESCALA.

    Chen Yingwei;Radha Hayder;Van Der Schaar Mihaela

  • In-band motion compensated temporal filtering

    Yiannis Andreopoulos;Adrian Munteanu;Joeri Barbarien;Mihaela Van der Schaar

  • Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN)

    Jinsung Yoon;Lydia N. Drumright;Mihaela van der Schaar

  • A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs

    Jie Xu;Kyeong Ho Moon;Mihaela van der Schaar

  • Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks

    Jinsung Yoon;William R. Zame;Mihaela van der Schaar

  • GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets

    Jinsung Yoon;James Jordan;Mihaela van der Schaar

  • Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes

    Ahmed M. Alaa;Mihaela van der Schaar

  • VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain

    Jinsung Yoon;Yao Zhang;James Jordon;Mihaela van der Schaar

Frequent Co-Authors

Shaolei Ren
Shaolei Ren University of California, Riverside
Hayder Radha
Hayder Radha Michigan State University
Peter Schelkens
Peter Schelkens Vrije Universiteit Brussel
Lina Badimon
Lina Badimon Hospital de la Santa Creu i Sant Pau
Jang-Won Lee
Jang-Won Lee Yonsei University
Yiannis Andreopoulos
Yiannis Andreopoulos University College London
Shuvra S. Bhattacharyya
Shuvra S. Bhattacharyya University of Maryland, College Park
David Atienza
David Atienza École Polytechnique Fédérale de Lausanne
Anna Scaglione
Anna Scaglione Cornell University
R. Michael Buehrer
R. Michael Buehrer Virginia Tech

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