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

Rachit Saluja

Cornell University

ORCID: 0000-0002-2567-9465

Also affiliated with Weill Cornell Medicine, Cornell Tech

MedicineNeuroscienceComputer 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 3%percentile
1.4Author DataRank

Indexed papers

3in 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 3 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.

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9
Top 29%
0.692DataRank
Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 more

Papers

Driven by 8 papers — median percentile 51. Top paper: “Computer Vision to Automatically Assess Infant Neuromotor Risk”.

Computer Vision to Automatically Assess Infant Neuromotor Risk

IEEE Transactions on Neural Systems and Rehabilitation Engineering(2020)10.1109/tnsre.2020.3029121
N/A
4.2DataRank · unranked
112 citations

Nidhi Seethapathi, Rachit Saluja, Helen Loeb, Samuel R. Pierce, Daniel K. Bogen +4 more

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9
Top 29%
0.692DataRank
Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3
Top 49%
0.361DataRank
Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 more

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18383
Top 54%
0.310DataRank
Top 54%5 citations

Abramova, Valeriia, Astaraki, Mehdi, Ferreira, Andre, Jiang, Zhifan, Cleveland, Mason C. +95 more

A Framework for Interpretability in Machine Learning for Medical Imaging

IEEE Access(2024)10.1109/access.2024.3387702
N/A
0DataRank · unranked
31 citations

Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young +2 more

A Framework for Interpretability in Machine Learning for Medical Imaging

arXiv (Cornell University)(2023)10.48550/arxiv.2310.01685
N/A
0DataRank · unranked
0 citations

Batuhan K. Karaman, Heejong Kim, Jacob Rosenthal, Rachit Saluja, Sean I. Young +2 more

Cancer type, stage and prognosis assessment from pathology reports using LLMs

Scientific Reports(2025)10.1038/s41598-025-10709-4
N/A
0DataRank · unranked
6 citations

Jacob Rosenthal, Annika Windon, Yoav Artzi, David J. Pisapia, Benjamin Liechty +2 more

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-59g7
N/A
0DataRank · unranked
5 citations

Rachit Saluja, Heejong Kim, Xinzi He, Adrian V. Dalca, Mert R. Sabuncu +1 more