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

Robert W. Cox

ORCID: 0000-0002-0031-1568
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 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 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 21 papers — median percentile 68. Top paper: “Variability in the analysis of a single neuroimaging dataset by many teams”.

Variability in the analysis of a single neuroimaging dataset by many teams

Nature(2020)10.1038/s41586-020-2314-9
N/A
9.7DataRank · unranked
1209 citations

Felix Holzmeister, Colin F. Camerer, Anna Dreber, Jürgen Huber, Magnus Johannesson +95 more

Common Ground in Asking and Understanding Questions

Language and Speech(1988)10.1177/002383098803100402
N/A
1.1DataRank · unranked
19 citations

Rachel A.G. Mueller, Robert W. Cox, Raymond W. Gibbs

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

The Haskins pediatric atlas: a magnetic-resonance-imaging-based pediatric template and atlas

Pediatric Radiology(2020)10.1007/s00247-020-04875-y
Top 32%
0.621DataRank
Top 32%18 citations

Daniel Glen, Laura Mesite, Robert W. Cox, Fumiko Hoeft, Stephen J. Frost +4 more

Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies

NeuroImage(2021)10.1016/j.neuroimage.2021.117891
N/A
0.468DataRank · unranked
13 citations

Tiffany Nash, Katherine M. Cole, Philip D. Kohn, Shau-Ming Wei, Michael D. Gregory +5 more

Going virtual during the COVID-19 pandemic: adaptation of a mixed-methods dietary behavior study within a community-based participatory research study of African-American adults at risk for cardiovascular disease

BMC Medical Research Methodology(2022)10.1186/s12874-022-01806-3
N/A
0.441DataRank · unranked
6 citations

Ralph Thadeus S. Tuason, Narjis Kazmi, Sharon Flynn, Valérie Mitchell, Kimberly R. Middleton +6 more

Fast detection and reduction of local transient artifacts in resting-state fMRI

Computers in Biology and Medicine(2020)10.1016/j.compbiomed.2020.103742
N/A
0.416DataRank · unranked
15 citations

Richard C. Reynolds, Stephen J. Gotts, Daniel A. Handwerker, Irena Balzekas, Alex Martin +3 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

EPI Distortion Correction is Easy and Useful, and You Should Use It: A case study with toddler data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.28.306787
N/A
0DataRank · unranked
7 citations

Jerry J. French, Dylan M. Nielson, Richard C. Reynolds, Daniel Glen, Precilla D’ Souza +4 more

Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.01.363838
N/A
0DataRank · unranked
3 citations

Tiffany Nash, Katherine M. Reding, Philip D. Kohn, Shau-Ming Wei, Michael D. Gregory +5 more

To pool or not to pool: Can we ignore cross-trial variability in FMRI?

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.19.102111
N/A
0DataRank · unranked
8 citations

Srikanth Padmala, Yi Chen, Paul A. Taylor, Robert W. Cox, Luiz Pessoa +1 more

Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging

NeuroImage(2021)10.1016/j.neuroimage.2021.118786
N/A
0DataRank · unranked
76 citations

Daniel S. Pine, Melissa A. Brotman, Ashley R. Smith, Robert W. Cox, Paul A. Taylor +2 more

Trial and error: A hierarchical modeling approach to test-retest reliability

NeuroImage(2021)10.1016/j.neuroimage.2021.118647
N/A
0DataRank · unranked
52 citations

Daniel S. Pine, Melissa A. Brotman, Ashley R. Smith, Robert W. Cox, Simone P. Haller +1 more

Beware (Surprisingly Common) Left-Right Flips in Your MRI Data: An Efficient and Robust Method to Check MRI Dataset Consistency Using AFNI

Frontiers in Neuroinformatics(2020)10.3389/fninf.2020.00018
N/A
0DataRank · unranked
28 citations

Paul A. Taylor, Bradley R. Buchsbaum, Robert W. Cox, Richard C. Reynolds, Daniel Glen

Sources of information waste in neuroimaging: mishandling structures, thinking dichotomously, and over-reducing data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.09.443246
N/A
0DataRank · unranked
16 citations

Paul A. Taylor, Joel Stoddard, Robert W. Cox, Peter A. Bandettini, Luiz Pessoa +1 more

Hyperbolic trade-off: the importance of balancing trial and subject sample sizes in neuroimaging

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.15.452548
N/A
0DataRank · unranked
15 citations

Daniel S. Pine, Melissa A. Brotman, Ashley R. Smith, Robert W. Cox, Paul A. Taylor +2 more

Correction to: The Haskins pediatric atlas: a magnetic-resonance-imaging-based pediatric template and atlas

Pediatric Radiology(2021)10.1007/s00247-020-04958-w
N/A
0DataRank · unranked
1 citations

Daniel Glen, Laura Mesite, Robert W. Cox, Fumiko Hoeft, Stephen J. Frost +4 more

To pool or not to pool: Can we ignore cross-trial variability in FMRI?

NeuroImage(2020)10.1016/j.neuroimage.2020.117496
N/A
0DataRank · unranked
39 citations

Srikanth Padmala, Yi Chen, Paul A. Taylor, Robert W. Cox, Luiz Pessoa +1 more

Processing, evaluating, and understanding FMRI data with afni_proc.py

Imaging Neuroscience(2024)10.1162/imag_a_00347
N/A
0DataRank · unranked
16 citations

Daniel Glen, Gang Chen, Ziad S. Saad, Robert W. Cox, Paul A Taylor +1 more

A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth, and interactive QC with afni_proc.py and more

Imaging Neuroscience(2024)10.1162/imag_a_00246
N/A
0DataRank · unranked
5 citations

Daniel Glen, Gang Chen, Robert W. Cox, Taylor Hanayik, Chris Rorden +4 more

A Set of FMRI Quality Control Tools in AFNI: Systematic, in-depth and interactive QC with afni_proc.py and more

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.27.586976
N/A
0DataRank · unranked
5 citations

Daniel Glen, Gang Chen, Robert W. Cox, Taylor Hanayik, Chris Rorden +4 more