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

Sibaji Gaj

Cleveland Clinic

ORCID: 0000-0002-6997-5717

Also affiliated with Cleveland Clinic Lerner College of Medicine

MedicineComputer Science

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
4.0Author DataRank

Indexed papers

2in 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 2 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 International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

Papers

Driven by 6 papers — median percentile 73. Top paper: “The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset”.

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Research at the University of Copenhagen (University of Copenhagen)(2021)10.1148/ryai.2021200078
Top 6%
3.6DataRank
Top 6%78 citations

Francesco Calivá, Claudia Iriondo, Aliasghar Mortazi, Sachin Jambawalikar, Ulaş Bağcı +25 more

Deep learning‐based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration

Magnetic Resonance in Medicine(2023)10.1002/mrm.29599
N/A
0.425DataRank · unranked
16 citations

Brendan Eck, Dongxing Xie, Richard Lartey, Charlotte Lo, William Zaylor +6 more

Towards automatic cartilage quantification in clinical trials – Continuing from the 2019 IWOAI knee segmentation challenge

Osteoarthritis Imaging(2023)10.1016/j.ostima.2023.100087
Top 48%
0.370DataRank
Top 48%7 citations

Arjun Desai, Cem M. Deniz, Haresh Rengaraj Rajamohan, Ravinder R. Regatte, Claudia Iriondo +17 more

Multi-vendor multi-site quantitative MRI analysis of cartilage degeneration 10 Years after anterior cruciate ligament reconstruction: MOON-MRI protocol and preliminary results

Osteoarthritis and Cartilage(2022)10.1016/j.joca.2022.08.006
N/A
0DataRank · unranked
13 citations

Jeff Murray, Richard Lartey, Sibaji Gaj, J. Kim, Mei Li +14 more

Reproducibility of proton density fat fraction assessment of thigh muscle in a multi-site, multi-vendor cohort study at 10 years after anterior cruciate ligament reconstruction

Quantitative Imaging in Medicine and Surgery(2024)10.21037/qims-24-287
N/A
0DataRank · unranked
3 citations

Sibaji Gaj, Richard Lartey, Mei Li, Jeehun Kim, Carl S. Winalski +17 more

Radiomic features of infrapatellar fat pad are associated with knee symptoms and radiographic post-traumatic osteoarthritis at 10+ years after anterior cruciate ligament reconstruction

Osteoarthritis Imaging(2025)10.1016/j.ostima.2025.100263
N/A
0DataRank · unranked
2 citations

Richard Lartey, Nancy A. Obuchowski, Sibaji Gaj, Jeehun Kim, Mei Li +11 more