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

Eric Bridgeford

Stanford University

ORCID: 0000-0001-6115-719X
NeuroscienceBiochemistry, Genetics and Molecular BiologyPhysics and AstronomyMedicineMathematics

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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics”.

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009279
N/A
0.604DataRank · unranked
55 citations

Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey +11 more

A low-resource reliable pipeline to democratize multi-modal connectome estimation and analysis

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.01.466686
N/A
0DataRank · unranked
3 citations

Ross Lawrence, Alex Loftus, Derek Pisner, Gregory Kiar, Eric Bridgeford +15 more

A Guide for Quantifying and Optimizing Measurement Reliability for the Study of Individual Differences

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.27.478100
N/A
0DataRank · unranked
5 citations

Jae Wook Cho, Gregory Kiar, Eric Bridgeford, Joshua T Vogelstein, Michael P. Milham +1 more

Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.28.518219
N/A
0DataRank · unranked
0 citations

Michael Powell, Eric Bridgeford, Michael Winding, Carey E. Priebe, Joshua T Vogelstein +1 more

ReX: an integrative tool for quantifying and optimizing measurement reliability for the study of individual differences

Nature Methods(2023)10.1038/s41592-023-01901-3
N/A
0DataRank · unranked
33 citations

Gregory Kiar, Jae Wook Cho, Eric Bridgeford, Aki Nikolaidis, Joshua T Vogelstein +2 more

Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

eLife(2023)10.7554/elife.83739
N/A
0DataRank · unranked
12 citations

Michael Powell, Eric Bridgeford, Michael Winding, Carey E. Priebe, Joshua T Vogelstein +1 more

Learning sources of variability from high-dimensional observational studies

arXiv (Cornell University)(2023)10.48550/arxiv.2307.13868
N/A
0DataRank · unranked
3 citations

Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen +4 more

When no answer is better than a wrong answer: A causal perspective on batch effects

Imaging Neuroscience(2025)10.1162/imag_a_00458
N/A
0DataRank · unranked
5 citations

M. A. Powell, Gregory Kiar, Stephanie Noble, Jaewon Chung, Sambit Panda +6 more

Multiscale comparative connectomics

Imaging Neuroscience(2025)10.1162/imag.a.2
N/A
0DataRank · unranked
1 citations

Jaewon Chung, Eric Bridgeford, Benjamin D. Pedigo, Jesús Arroyo, Lucy Upchurch +6 more

Network Biomarkers of Alzheimer’s Disease Risk Derived from Joint Volume and Texture Covariance Patterns in Mouse Models

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.05.636582
N/A
0DataRank · unranked
1 citations

Jaewon Chung, Robert J. Anderson, Ali Mahzarnia, Jacques Stout, Hae Sol Moon +4 more