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

Sudhir Pathak

ORCID: 0000-0001-6669-2263

MedicineNeuroscience

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome”.

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

NeuroImage(2021)10.1016/j.neuroimage.2021.118530

N/A

0.787DataRank · unranked

189 citations

Thomas Witzel, Boris Keil, Alina Scholz, Mathias Davids, Peter Dietz +30 more

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

The Journal of Machine Learning for Biomedical Imaging(2024)10.59275/j.melba.2024-9c68

N/A

0DataRank · unranked

2 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +31 more

Introducing QuantConn: Overcoming Challenging Diffusion Acquisitions with Harmonization

Lecture notes in computer science(2025)10.1007/978-3-031-86920-4_15

N/A

0DataRank · unranked

0 citations

Kurt G. Schilling, Serge Koudoro, Bramsh Q. Chandio, Praitayini Kanakaraj, Daniel Moyer +26 more