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

Malte Westerhoff

ORCID: 0009-0001-2516-6029
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
1.5Author 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 large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9
Top 21%
0.980DataRank
Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Papers

Driven by 6 papers — median percentile 51. Top paper: “A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information”.

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9
Top 21%
0.980DataRank
Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction

Frontiers in Neuroscience(2022)10.3389/fnins.2022.860208
N/A
0.529DataRank · unranked
33 citations

Khaled Bousabarah, Eve Kazarian, Tal Zeevi, Wolfgang Holler, Sara Merkaj +14 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

A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

arXiv (Cornell University)(2023)10.48550/arxiv.2309.05053
Top 65%
0.195DataRank
Top 65%2 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular events

American Heart Journal(2025)10.1016/j.ahj.2025.04.019
N/A
0DataRank · unranked
10 citations

Chen Lyu, Eduardo Iturrate, Malte Westerhoff, Soterios Gyftopoulos, Bari Dane +4 more

Real-world diagnostic performance of knee MRI protocols accelerated using simultaneous multi-slice acquisition and deep learning reconstruction

Skeletal Radiology(2025)10.1007/s00256-025-05058-2
N/A
0DataRank · unranked
1 citations

Siddhant Dogra, Malte Westerhoff, Jan Fritz, Dana J. Lin, Michael P. Recht +1 more