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

Edwin H. G. Oei

Erasmus MC

ORCID: 0000-0003-3727-3427

Also affiliated with Erasmus University Rotterdam

MedicineEngineering

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 2%percentile
2.6Author DataRank

Indexed papers

4in 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 4 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 KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.10.001
Top 9%
2.3DataRank
Top 9%60 citations

J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more

Papers

Driven by 7 papers — median percentile 48. Top paper: “The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images”.

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.10.001
Top 9%
2.3DataRank
Top 9%60 citations

J. Runhaar, Rianne A. van der Heijden, Maryam Zokaeinikoo, Mingrui Yang, X. Li +27 more

Cohort profile: Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) – an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis

BMJ Open(2024)10.1136/bmjopen-2023-077907
Top 52%
0.330DataRank
Top 52%8 citations

Noortje S. Riedstra, Myrthe A. van den Berg, Fleur Boel, Harbeer Ahedi, Vahid Arbabi +24 more

Cam morphology and the risk of developing radiographic hip osteoarthritis within 8 years: an individual participant data meta-analysis of 23 886 hips from the world COACH consortium

British Journal of Sports Medicine(2025)10.1136/bjsports-2025-110144
N/A
0.269DataRank · unranked
5 citations

Fleur Boel, Michiel MA van Buuren, Noortje S. Riedstra, Myrthe A. van den Berg, Harbeer Ahedi +23 more

Advances in cartilage imaging techniques

Nature Reviews Rheumatology(2026)10.1038/s41584-026-01353-x
N/A
0.241DataRank · unranked
4 citations

Felix Eckstein, Garry Gold, Daichi Hayashi, Mohamed Jarraya, Feliks Kogan +10 more

The QIBA Profile for MRI-based Compositional Imaging of Knee Cartilage

Radiology(2021)10.1148/radiol.2021204587
N/A
0DataRank · unranked
95 citations

Xiaojuan Li, Ali Guermazi, Nancy A. Obuchowski, John A. Carrino, Edwin H. G. Oei +27 more

Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190065
N/A
0DataRank · unranked
187 citations

Łukasz Kidziński, Eni Halilaj, Scott L. Fleming, Guhan Venkataraman, Edwin H. G. Oei +3 more

Cohort profile: Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) - an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis

UNC Libraries(2024)10.17615/0dg2-2309
Top 100%
0DataRank
Top 100%0 citations

M.M.A. van Buuren, Noortje S. Riedstra, David T. Felson, Jan van Meurs, Flavia Cicuttini +24 more