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

Rogers F. Silva

Georgia Institute of Technology

ORCID: 0000-0002-7271-1288

Also affiliated with Emory University, Georgia State University, Center for Translational Research in Neuroimaging and Data Science

NeuroscienceComputer ScienceMedicine

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 7%percentile
0.165Author 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.

The interplay between brain and behavior during development: A multisite effort to generate and share simulated datasets

Scientific Data(2025)10.1038/s41597-025-04740-3
Top 70%
0.165DataRank
Top 70%2 citations

Isabelle F. van der Velpen, Bradley T. Baker, Ishaan Batta, Kyle J. Cahill, Sarah Genon +18 more

Papers

Driven by 22 papers — median percentile 30. Top paper: “Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning”.

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Nature Communications(2021)10.1038/s41467-020-20655-6
N/A
0.809DataRank · unranked
219 citations

Zening Fu, Mustafa S. Salman, Rogers F. Silva, Yuhui Du, Sergey Plis +2 more

Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker

Biological Psychiatry(2021)10.1016/j.biopsych.2021.01.011
N/A
0.606DataRank · unranked
56 citations

Günter Schumann, Juan Bustillo, Jessica A. Turner, Rongtao Jiang, Dongmei Zhi +45 more

Hype versus hope: Deep learning encodes more predictive and robust brain imaging representations than standard machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.14.041582
N/A
0.396DataRank · unranked
13 citations

Zening Fu, Mustafa S. Salman, Rogers F. Silva, Yuhui Du, Sergey Plis +2 more

A Method for Multimodal IVA Fusion Within a MISA Unified Model Reveals Markers of Age, Sex, Cognition, and Schizophrenia in Large Neuroimaging Studies

Human Brain Mapping(2024)10.1002/hbm.70037
N/A
0.241DataRank · unranked
4 citations

Eswar Damaraju, Xinhui Li, Peter Kochunov, Judith M Ford, Daniel H. Mathalon +5 more

Sparse parallel independent component analysis and its application to identify linked genomic and gray matter alterations underlying working memory impairment in attention-deficit/hyperactivity disorder

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.11.198622
N/A
0.208DataRank · unranked
3 citations

Jiayu Chen, Vince D. Calhoun, Wenhao Jiang, Kelly Rootes-Murdy, Gido Schoenmacker +13 more

The interplay between brain and behavior during development: A multisite effort to generate and share simulated datasets

Scientific Data(2025)10.1038/s41597-025-04740-3
Top 70%
0.165DataRank
Top 70%2 citations

Isabelle F. van der Velpen, Bradley T. Baker, Ishaan Batta, Kyle J. Cahill, Sarah Genon +18 more

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

Human Brain Mapping(2025)10.1002/hbm.70241
N/A
0.104DataRank · unranked
1 citations

Debbrata K. Saha, Zening Fu, Marlena Duda, Rogers F. Silva, Tony W. Wilson +4 more

Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders

IEEE Transactions on Image Processing(2025)10.1109/tip.2025.3597045
N/A
0.104DataRank · unranked
1 citations

Rogers F. Silva, Tülay Adalı, Rongtao Jiang, Daoqiang Zhang, Shile Qi +2 more

Sparse Parallel Independent Component Analysis and Its Application to Identify Stable and Replicable Imaging-genomic Association Patterns in UK Biobank

medRxiv(2022)10.1101/2022.06.27.22276981
N/A
0.104DataRank · unranked
1 citations

Jiayu Chen, Zening Fu, Rogers F. Silva, Vince D. Calhoun, Michela Dell’Orco +5 more

Direct linkage detection with multimodal IVA fusion reveals markers of age, sex, cognition, and schizophrenia in large neuroimaging studies

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.13.472507
N/A
0.104DataRank · unranked
1 citations

Eswar Damaraju, Xinhui Li, Peter Kochunov, Ayşenil Belger, Judith M. Ford +9 more

Semantic locality-aware biclustering for brain functional network connectivity

Scientific Reports(2025)10.1038/s41598-025-18007-9
N/A
0DataRank · unranked
0 citations

Rogers F. Silva, Zening Fu, Armin Iraji, Vince D. Calhoun, Md Abdur Rahaman

COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation

The Journal of Open Source Software(2020)10.21105/joss.02166
N/A
0DataRank · unranked
16 citations

Ross Kelly, Javier Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva +8 more

Multimodal Data Fusion in Neuroscience: Promises, challenges, and future directions [Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology]

IEEE Signal Processing Magazine(2025)10.1109/msp.2025.3604570
N/A
0DataRank · unranked
0 citations

Rogers F. Silva, Tülay Adalı, Rongtao Jiang, Daoqiang Zhang, Shile Qi +2 more

Frequency-Aware Summarization of Resting-State fMRI Data

Frontiers in Systems Neuroscience(2020)10.3389/fnsys.2020.00016
N/A
0DataRank · unranked
14 citations

Rogers F. Silva, Armin Iraji, Vince D. Calhoun, Maziar Yaesoubi

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion

IEEE Transactions on Image Processing(2020)10.1109/tip.2020.3028452
N/A
0DataRank · unranked
3 citations

Sergey Plis, Tülay Adalı, Marios S. Pattichis, Vince D. Calhoun, Rogers F. Silva

Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data

Human Brain Mapping(2021)10.1002/hbm.25720
N/A
0DataRank · unranked
26 citations

Rogers F. Silva, Daoqiang Zhang, Sergey Plis, Robyn L. Miller, Victor M. Vergara +5 more

Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals

PLoS ONE(2022)10.1371/journal.pone.0249502
N/A
0DataRank · unranked
4 citations

Rogers F. Silva, Anees Abrol, Mustafa S. Salman, Anna K. Bonkhoff, Yuhui Du +6 more

dcSBM: A federated constrained source-based morphometry approach for multivariate brain structure mapping

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.29.522266
N/A
0DataRank · unranked
0 citations

Rogers F. Silva, Bradley T. Baker, Rekha Saha, Vince D. Calhoun, Debbrata K. Saha

Genomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder

Translational Psychiatry(2023)10.1038/s41398-023-02349-x
N/A
0DataRank · unranked
9 citations

Jiayu Chen, Vince D. Calhoun, Wenhao Jiang, Kelly Rootes-Murdy, Gido Schoenmacker +13 more

dcSBM : A federated constrained source‐based morphometry approach for multivariate brain structure mapping

Human Brain Mapping(2023)10.1002/hbm.26483
N/A
0DataRank · unranked
3 citations

Rogers F. Silva, Bradley T. Baker, Rekha Saha, Vince D. Calhoun, Debbrata K. Saha

Analysis of Longitudinal Change Patterns in Developing Brain Using Functional and Structural Magnetic Resonance Imaging via Multimodal Fusion

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.07.588473
N/A
0DataRank · unranked
2 citations

Debbrata K. Saha, Zening Fu, Marlena Duda, Rogers F. Silva, Vince D. Calhoun +1 more

Cortico–thalamo–cerebellar circuit disruptions underlying cognitive deficits in schizophrenia: a multi-cohort multidomain fusion study

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.02.657541
N/A
0DataRank · unranked
0 citations

Rogers F. Silva, Md Abdur Rahaman, Zening Fu, Jingyu Liu, Peter Kochunov +4 more