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

Sachin Jambawalikar

Columbia University

ORCID: 0000-0003-1839-6798
MedicineComputer ScienceMaterials 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 1%percentile
5.0Author 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 12 papers — median percentile 90. 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

Integrating Eye Tracking and Speech Recognition Accurately Annotates MR Brain Images for Deep Learning: Proof of Principle

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200047
Top 14%
1.4DataRank
Top 14%29 citations

Haydar Çelik, David Gutman, Nathaniel Swinburne, Robert J. Young, Sarah Eskreis‐Winkler +7 more

Treatment of Recurrent Glioblastoma by Chronic Convection-Enhanced Delivery of Topotecan

medRxiv(2021)10.1101/2021.12.04.21266935
N/A
0.227DataRank · unranked
3 citations

Michael Argenziano, Pavan S. Upadhyayula, Matei A. Banu, Justin A. Neira, Dominique Higgins +29 more

Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions

Tomography(2024)10.3390/tomography10040039
N/A
0.208DataRank · unranked
3 citations

Hao-Yun Hsu, Ronald R. Nelson, Brendan Sullivan, Jaemin Shin, Maggie Fung +4 more

Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs

Research Square(2025)10.21203/rs.3.rs-6622868/v1
N/A
0.165DataRank · unranked
2 citations

Maria Gonzalez, Ziliang Hong, Görkem Durak, Elif Keleş, Halil Ertugrul Aktas +25 more

COVID-19 Neuropathology at Columbia University Irving Medical Center/New York Presbyterian Hospital

medRxiv(2021)10.1101/2021.03.16.21253167
N/A
0DataRank · unranked
50 citations

Emily Happy Miller, Michael Glendinning, Osama Al‐Dalahmah, Matei A. Banu, Amelia K. Boehme +29 more

Multi-site, multi-platform comparison of MRI T1 measurement using the system phantom

PLoS ONE(2021)10.1371/journal.pone.0252966
N/A
0DataRank · unranked
53 citations

Zydrunas Gimbutas, Andrew Dienstfrey, Karl F. Stupic, Michael A. Boss, Stephen E. Russek +15 more

COVID-19 neuropathology at Columbia University Irving Medical Center/New York Presbyterian Hospital

Brain(2021)10.1093/brain/awab148
N/A
0DataRank · unranked
398 citations

Emily Happy Miller, Michael Glendinning, Osama Al‐Dalahmah, Matei A. Banu, Amelia K. Boehme +29 more

Generalizing Diffusion Tensor Imaging of the Physis and Metaphysis

Journal of Magnetic Resonance Imaging(2024)10.1002/jmri.29455
N/A
0DataRank · unranked
3 citations

Laura Santos, Rumana Tokaria, Sachin Jambawalikar, Phuong Duong, José G. Raya +3 more

Ethical framework for responsible foundational models in medical imaging

Frontiers in Medicine(2025)10.3389/fmed.2025.1544501
N/A
0DataRank · unranked
13 citations

Görkem Durak, Abhijit Das, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar +31 more

B0 Magnetic Field Conditions in the Human Heart at 3 T Across One Thousand Subjects: A Numerical Simulation Study

NMR in Biomedicine(2025)10.1002/nbm.70006
N/A
0DataRank · unranked
1 citations

Sebastian Theilenberg, Boyu Peng, Wolfgang Schreiber, Andrew J. Einstein, Sachin Jambawalikar +2 more

Contrast-Free Detection of Focused Ultrasound-Induced Blood-Brain Barrier Opening Using Diffusion Tensor Imaging

IEEE Transactions on Biomedical Engineering(2020)10.1109/tbme.2020.3047575
N/A
0DataRank · unranked
18 citations

Antonios N. Pouliopoulos, Michael Liu, Sachin Jambawalikar, Elisa E. Konofagou, Maria Eleni Karakatsani