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

Richard Kijowski

Hospital for Special Surgery

ORCID: 0000-0002-2669-267X
Medicine

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
2.3Author DataRank

Indexed papers

1in 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 1 indexed paper 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 11 papers — median percentile 91. 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

Estimation of time-to-total knee replacement surgery with multimodal modeling and artificial intelligence

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110364
N/A
0.196DataRank · unranked
2 citations

Eisa Hedayati, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Gregory Chang, Richard Kijowski +2 more

A Progressive risk formulation for enhanced deep learning based total knee replacement prediction in knee osteoarthritis

Signal Image and Video Processing(2025)10.1007/s11760-025-04404-0
N/A
0.104DataRank · unranked
1 citations

Richard Kijowski, Kyunghyun Cho, Cem Deniz, Haresh Rengaraj Rajamohan

Estimating time-to-total knee replacement on radiographs and MRI: a multimodal approach using self-supervised deep learning

Radiology Advances(2022)10.1093/radadv/umae030
N/A
0DataRank · unranked
2 citations

Shengjia Chen, Chaojie Zhang, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz +1 more

Deep learning risk assessment models for predicting progression of radiographic medial joint space loss over a 48-MONTH follow-up period

Osteoarthritis and Cartilage(2020)10.1016/j.joca.2020.01.010
N/A
0DataRank · unranked
66 citations

Fang Liu, Arya Haj‐Mirzaian, Shadpour Demehri, Alexey Samsonov, Tuhina Neogi +3 more

Diffusion tensor imaging of hamstring muscles after acute strain injury and throughout recovery in collegiate athletes

Skeletal Radiology(2024)10.1007/s00256-024-04587-6
N/A
0DataRank · unranked
4 citations

Samuel A. Hurley, Elizabeth Schmida, Kenneth Lee, Richard Kijowski, Bryan C. Heiderscheit +1 more

Relationships between quantitative magnetic resonance imaging measures at the time of return to sport and clinical outcomes following acute hamstring strain injury

Journal of Biomechanics(2024)10.1016/j.jbiomech.2024.112228
N/A
0DataRank · unranked
2 citations

Samuel A. Hurley, Mikel R. Stiffler-Joachim, Kenneth Lee, Richard Kijowski, Bryan C. Heiderscheit +1 more

Association of quantitative diffusion tensor imaging measures with time to return to sport and reinjury incidence following acute hamstring strain injury

Journal of Biomechanics(2024)10.1016/j.jbiomech.2024.111960
N/A
0DataRank · unranked
3 citations

Samuel A. Hurley, Mikel R. Joachim, Kenneth Lee, Richard Kijowski, Bryan C. Heiderscheit +1 more

Prediction of total knee replacement using deep learning analysis of knee MRI

Scientific Reports(2023)10.1038/s41598-023-33934-1
N/A
0DataRank · unranked
41 citations

Tianyu Wang, Kevin Leung, Gregory Chang, Kyunghyun Cho, Richard Kijowski +2 more

Anterior Cruciate Ligament Graft Tunnel Placement and Graft Angle Are Primary Determinants of Internal Knee Mechanics After Reconstructive Surgery

The American Journal of Sports Medicine(2020)10.1177/0363546520966721
N/A
0DataRank · unranked
39 citations

Colin R. Smith, Joshua D. Roth, Jarred Kaiser, Geoffrey S. Baer, Richard Kijowski +2 more

Assessing collagen alterations in enzymatic degradation models of osteoarthritis via second harmonic generation microscopy

Osteoarthritis and Cartilage(2021)10.1016/j.joca.2021.08.004
N/A
0DataRank · unranked
7 citations

Emily Shelton, Richard Kijowski, Corinne R. Henak, Paul J. Campagnola, Alexander N. Jambor