🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Mihaela van der Schaar

University of Cambridge

ORCID: 0000-0003-3933-6049
Computer ScienceEngineering

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile
0.544Author DataRank

Indexed papers

3in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes

Radiology Imaging Cancer(2020)10.1148/rycan.2020190099
Top 36%
0.544DataRank
Top 36%10 citations

Daniel S. Hippe, Ahmed M. Alaa, Safia Cheeney, Mihaela van der Schaar, Savannah C. Partridge +2 more

Papers

Driven by 11 papers — median percentile 64. Top paper: “Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease”.

Predicting rapid progression in knee osteoarthritis: a novel and interpretable automated machine learning approach, with specific focus on young patients and early disease

Annals of the Rheumatic Diseases(2025)10.1136/ard-2024-225872
N/A
0.546DataRank · unranked
37 citations

Mark Birch, Mihaela van der Schaar, Andrew McCaskie, Simone Castagno

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes

Radiology Imaging Cancer(2020)10.1148/rycan.2020190099
Top 36%
0.544DataRank
Top 36%10 citations

Daniel S. Hippe, Ahmed M. Alaa, Safia Cheeney, Mihaela van der Schaar, Savannah C. Partridge +2 more

Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact

PLOS Digital Health(2024)10.1371/journal.pdig.0000474
N/A
0.494DataRank · unranked
26 citations

Ioana Baldini, Leo Anthony Celi, Judy Wawira Gichoya, Liam G. McCoy, Tristan Naumann +4 more

LATE PCI IN STEMI: A COMPLEX INTERACTION BETWEEN DELAY AND AGE

Journal of the American College of Cardiology(2018)10.1016/s0735-1097(18)30585-0
N/A
0.104DataRank · unranked
1 citations

Edina Cenko, Jinsung Yoon, Beatrice Ricci, Davor Milicic, Sasko Kedev +5 more

Development of a Novel, Potentially Universal Machine Learning Algorithm for Prediction of Complications After Total Hip Arthroplasty

The Journal of Arthroplasty(2020)10.1016/j.arth.2020.12.040
N/A
0DataRank · unranked
64 citations

Sai K. Devana, Chang Hee Lee, Reza Kianian, Mihaela van der Schaar, Nelson F. SooHoo +1 more

Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study

PLoS Medicine(2023)10.1371/journal.pmed.1004287
N/A
0DataRank · unranked
27 citations

Fergus Imrie, Bogdan Cebere, Nora Pashayan, Neal Navani, Mihaela van der Schaar +2 more

AI education for clinicians

EClinicalMedicine(2024)10.1016/j.eclinm.2024.102968
N/A
0DataRank · unranked
83 citations

Tim Oosterlinck, Robert D. Stevens, Patrick H. Maxwell, Mihaela van der Schaar, Tim Schubert

A Risk Calculator for the Prediction of C5 Nerve Root Palsy After Instrumented Cervical Fusion

World Neurosurgery(2022)10.1016/j.wneu.2022.07.082
N/A
0DataRank · unranked
8 citations

Sai K. Devana, Changhee Lee, Amador Bugarin, Michelle Hong, Alexander Upfill‐Brown +7 more

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*

Critical Care Medicine(2021)10.1097/ccm.0000000000004916
N/A
0DataRank · unranked
265 citations

Jan M. Peppink, Ronald H. Driessen, Eric J.G. Sijbrands, Erwin J. O. Kompanje, Lewis J. Kaplan +10 more

Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning–Driven Approach

World Neurosurgery(2021)10.1016/j.wneu.2021.05.080
N/A
0DataRank · unranked
38 citations

Sai K. Devana, Chang‐Hee Lee, Amador Bugarin, Elizabeth L. Lord, Arya Nick Shamie +4 more

Development and External Validation of a Risk Calculator for Prediction of Major Complications and Readmission After Anterior Cervical Discectomy and Fusion

Spine(2022)10.1097/brs.0000000000004531
N/A
0DataRank · unranked
10 citations

Sai K. Devana, Chang Hee Lee, Thomas E. Olson, Alexander Upfill‐Brown, William L. Sheppard +6 more