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

John A. Lee

European Society for Therapeutic Radiology and Oncology

ORCID: 0000-0001-5218-759X

Also affiliated with Molecular Oncology (United States)

Physics and AstronomyMedicineComputer 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 4%percentile
0.856Author 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 series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

Human Brain Mapping(2020)10.1002/hbm.25182
Top 27%
0.752DataRank
Top 27%33 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

Papers

Driven by 5 papers — median percentile 48. Top paper: “What you see is what you can change: Human-centered machine learning by interactive visualization”.

What you see is what you can change: Human-centered machine learning by interactive visualization

Neurocomputing(2017)10.1016/j.neucom.2017.01.105
N/A
0.769DataRank · unranked
167 citations

Michael Sedlmair, Leishi Zhang, John A. Lee, Jaakko Peltonen, Daniel Weiskopf +3 more

A series of five population‐specific Indian brain templates and atlases spanning ages 6–60 years

Human Brain Mapping(2020)10.1002/hbm.25182
Top 27%
0.752DataRank
Top 27%33 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

A series of five population-specific Indian brain templates and atlases spanning ages 6 to 60 years

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.08.077172
Top 78%
0.104DataRank
Top 78%1 citations

Paul A. Taylor, Daniel Glen, John A. Lee, Nilakshi Vaidya, Urvakhsh Meherwan Mehta +17 more

Artificial intelligence and machine learning for medical imaging: A technology review

Physica Medica(2021)10.1016/j.ejmp.2021.04.016
N/A
0DataRank · unranked
433 citations

Umair Javaid, Gilmer Valdés, Dan Nguyen, Paul Desbordes, Benoît Macq +9 more

Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac678a
N/A
0DataRank · unranked
78 citations

Adrien Bibal, Margerie Huet Dastarac, Camille Draguet, Gilmer Valdés, Dan Nguyen +8 more