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Mihaela van der Schaar

Mihaela van der Schaar

University of Cambridge
United Kingdom

Award Badge
Computer Science
UK
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 79 1139 1103 64 63 905 26113

Mihaela van der Schaar publications per year

The chart shows the history of publications by Mihaela van der Schaar between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mihaela van der Schaar published across 27 years, from 1999 to 2025, averaging 38.4 papers a year. Output peaked at 71 publications in 2021. 106 of the 1,036 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 71. Peak 71 publications in 2021. 1999: 1 publication 2000: 10 publications 2001: 9 publications 2002: 18 publications 2003: 35 publications 2004: 29 publications 2005: 23 publications 2006: 15 publications 2007: 40 publications 2008: 31 publications 2009: 50 publications 2010: 47 publications 2011: 48 publications 2012: 36 publications 2013: 50 publications 2014: 51 publications 2015: 54 publications 2016: 34 publications 2017: 25 publications 2018: 58 publications 2019: 40 publications 2020: 57 publications 2021: 71 publications 2022: 37 publications 2023: 61 publications 2024: 64 publications 2025: 42 publications
1999 2025

1,036 publications in total across all disciplines

View publications per year as a table
Mihaela van der Schaar: publications per year, 1999 to 2025
Year Publications
1999 1
2000 10
2001 9
2002 18
2003 35
2004 29
2005 23
2006 15
2007 40
2008 31
2009 50
2010 47
2011 48
2012 36
2013 50
2014 51
2015 54
2016 34
2017 25
2018 58
2019 40
2020 57
2021 71
2022 37
2023 61
2024 64
2025 42
Total 1,036
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 902–911 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6 905
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 78–79 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119 79
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

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

William R. Zame
William R. Zame University of California, Los Angeles
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
Anna Scaglione
Anna Scaglione Cornell University
R. Michael Buehrer
R. Michael Buehrer Virginia Tech

External Links

Personal website of Mihaela van der Schaar Google Scholar page

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Dusit Niyato

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Publications: 25

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Publications: 24

Feng Wu

Feng Wu

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Publications: 23

Deniz Gunduz

Deniz Gunduz

Imperial College London

Publications: 22

Ralph F. Osterhout

Ralph F. Osterhout

Microsoft (United States)

Publications: 21

Pan Zhou

Pan Zhou

Huazhong University of Science and Technology

Publications: 20

Peter Schelkens

Peter Schelkens

Vrije Universiteit Brussel

Publications: 18

Byeong Moon Jeon

Byeong Moon Jeon

LG Corporation (South Korea)

Publications: 17

Shipeng Li

Shipeng Li

Chinese University of Hong Kong, Shenzhen

Publications: 17

Yanmin Zhu

Yanmin Zhu

Shanghai Jiao Tong University

Publications: 16

Beatrice Pesquet-Popescu

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Publications: 15

John D. Haddick

John D. Haddick

Microsoft (United States)

Publications: 15

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University of New South Wales

Publications: 15

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ByteDance

Publications: 15

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