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

Hannes Almgren

The University of Sydney

ORCID: 0000-0001-9428-8348

Also affiliated with Cooperative Trials Group for Neuro-Oncology

NeuroscienceMedicine

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

1in 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 1 indexed paper 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.

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Scientific Data(2022)10.1038/s41597-022-01806-4
Top 46%
0.396DataRank
Top 46%13 citations

Nigel Colenbier, Hannes Almgren, Thijs Dhollander, Javier Rasero, Kenzo Clauw +7 more

Papers

Driven by 3 papers — median percentile 54. Top paper: “Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets”.

Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

NeuroImage Clinical(2023)10.1016/j.nicl.2023.103405
N/A
0.655DataRank · unranked
78 citations

Matthias Wilms, Pauline Mouchès, Hannes Almgren, Raissa Souza, Richard Camicioli +4 more

Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling

Scientific Data(2022)10.1038/s41597-022-01806-4
Top 46%
0.396DataRank
Top 46%13 citations

Nigel Colenbier, Hannes Almgren, Thijs Dhollander, Javier Rasero, Kenzo Clauw +7 more

Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

npj Parkinson s Disease(2024)10.1038/s41531-024-00647-9
N/A
0DataRank · unranked
39 citations

Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail +4 more