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

James M. Brown

ORCID: 0000-0001-7636-4554
NeuroscienceMedicineSocial Sciences

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 2%percentile
2.8Author 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.

Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190199
Top 8%
2.8DataRank
Top 8%53 citations

Jay Patel, Andrew Beers, Ken Chang, Praveer Singh, James M. Brown +6 more

Papers

Driven by 10 papers — median percentile 92. Top paper: “Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma”.

Radiomics Repeatability Pitfalls in a Scan-Rescan MRI Study of Glioblastoma

Radiology Artificial Intelligence(2020)10.1148/ryai.2020190199
Top 8%
2.8DataRank
Top 8%53 citations

Jay Patel, Andrew Beers, Ken Chang, Praveer Singh, James M. Brown +6 more

Aggressive Posterior Retinopathy of Prematurity

Ophthalmology(2020)10.1016/j.ophtha.2020.01.052
N/A
0.568DataRank · unranked
43 citations

James M. Brown, Sang Jin Kim, I. Goldstein, Aaron S. Coyner, Susan Ostmo +6 more

LAMA: automated image analysis for the developmental phenotyping of mouse embryos

Development(2021)10.1242/dev.192955
N/A
0.457DataRank · unranked
20 citations

Shanmugasundaram Venkataraman, Chris Armit, Ramón Casero, James M. Brown, Michael D. Wong +9 more

DeepNeuro: an open-source deep learning toolbox for neuroimaging

Neuroinformatics(2020)10.1007/s12021-020-09477-5
N/A
0.208DataRank · unranked
3 citations

James M. Brown, Ken Chang, Katharina Hoebel, Jay Patel, Bruce R. Rosen +6 more

Stroke‐Related Visceral Alterations: A Voxel‐Based Neuroanatomic Localization Study

Annals of Neurology(2023)10.1002/ana.26785
N/A
0.208DataRank · unranked
3 citations

Ken Chang, Ahmed Tawakol, Marco L. Loggia, Joshua N. Goldstein, James M. Brown +8 more

LAMA: Automated image analysis for developmental phenotyping of mouse embryos

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.04.075853
N/A
0DataRank · unranked
1 citations

Shanmugasundaram Venkataraman, Ramón Casero, James M. Brown, Sara Johnson, Lydia Teboul +5 more

Evaluation of a Deep Learning–Derived Quantitative Retinopathy of Prematurity Severity Scale

Ophthalmology(2020)10.1016/j.ophtha.2020.10.025
N/A
0DataRank · unranked
70 citations

Sang Jin Kim, James M. Brown, Susan Ostmo, R.V. Paul Chan, Jayashree Kalpathy–Cramer +39 more

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

npj Digital Medicine(2020)10.1038/s41746-020-0255-1
N/A
0DataRank · unranked
135 citations

Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell +9 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.03.005
N/A
0DataRank · unranked
36 citations

Charles Lu, Ken Chang, Praveer Singh, Aaron S. Coyner, James M. Brown +54 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.02.015
N/A
0DataRank · unranked
41 citations

Adam Hanif, Praveer Singh, Ken Chang, Aaron S. Coyner, James M. Brown +54 more