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

Andrew J. Holbrook

University of California, Los Angeles

ORCID: 0000-0002-3558-200X

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 5%percentile
0.354Author DataRank

Indexed papers

2in 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 2 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.

ANTsX neuroimaging-derived structural phenotypes of UK Biobank

Scientific Reports(2024)10.1038/s41598-024-59440-6
Top 50%
0.354DataRank
Top 50%7 citations

Michael A. Yassa, Batool Rizvi, Philip A. Cook, Andrew J. Holbrook, Mithra Sathishkumar +5 more

Papers

Driven by 24 papers — median percentile 25. Top paper: “BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference”.

BEAST X for Bayesian phylogenetic, phylogeographic and phylodynamic inference

Nature Methods(2025)10.1038/s41592-025-02751-x
N/A
0.960DataRank · unranked
72 citations

Xiang Ji, Gabriel W. Hassler, John T. McCrone, Yucai Shao, Zhenyu Zhang +6 more

Gradients Do Grow on Trees: A Linear-TimeO(N)-Dimensional Gradient for Statistical Phylogenetics

Molecular Biology and Evolution(2020)10.1093/molbev/msaa130
N/A
0.736DataRank · unranked
43 citations

Zhenyu Zhang, Andrew J. Holbrook, Akihiko Nishimura, Guy Baele, Andrew Rambaut +3 more

ANTsX neuroimaging-derived structural phenotypes of UK Biobank

Scientific Reports(2024)10.1038/s41598-024-59440-6
Top 50%
0.354DataRank
Top 50%7 citations

Michael A. Yassa, Batool Rizvi, Philip A. Cook, Andrew J. Holbrook, Mithra Sathishkumar +5 more

Random-Effects Substitution Models for Phylogenetics via Scalable Gradient Approximations

Systematic Biology(2024)10.1093/sysbio/syae019
N/A
0.345DataRank · unranked
9 citations

Andrew J. Holbrook, Jonathan E. Pekar, Itzue W. Caviedes-Solis, Frederick A. Matsen, Guy Baele +5 more

From viral evolution to spatial contagion: a biologically modulated Hawkes model

Bioinformatics(2022)10.1093/bioinformatics/btac027
N/A
0.104DataRank · unranked
1 citations

Xiang Ji, Marc A. Suchard, Andrew J. Holbrook

Scalable Bayesian inference for self-excitatory stochastic processes applied to big American gunfire data

Statistics and Computing(2021)10.1007/s11222-020-09980-4
N/A
0DataRank · unranked
0 citations

Charles Loeffler, Seth Flaxman, Marc A. Suchard, Andrew J. Holbrook

Principled, practical, flexible, fast: A new approach to phylogenetic factor analysis

Methods in Ecology and Evolution(2022)10.1111/2041-210x.13920
N/A
0DataRank · unranked
22 citations

Brigida Gallone, Leandro Arístide, William L. Allen, Max R. Tolkoff, Andrew J. Holbrook +4 more

Generating MCMC proposals by randomly rotating the regular simplex

Journal of Multivariate Analysis(2022)10.1016/j.jmva.2022.105106
N/A
0DataRank · unranked
5 citations

Andrew J. Holbrook

Computational Statistics and Data Science in the Twenty-first Century

arXiv (Cornell University)(2022)10.48550/arxiv.2204.05530
N/A
0DataRank · unranked
0 citations

Akihiko Nishimura, Xiang Ji, Marc A. Suchard, Andrew J. Holbrook

Accelerating Bayesian inference of dependency between mixed-type biological traits

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011419
N/A
0DataRank · unranked
6 citations

Akihiko Nishimura, Nídia S. Trovão, Joshua L. Cherry, Andrew J. Holbrook, Xiang Ji +3 more

A Quantum Parallel Markov Chain Monte Carlo

Journal of Computational and Graphical Statistics(2023)10.1080/10618600.2023.2195890
N/A
0DataRank · unranked
4 citations

Andrew J. Holbrook

Random-effects substitution models for phylogenetics via scalable gradient approximations

arXiv (Cornell University)(2023)10.48550/arxiv.2303.13642
N/A
0DataRank · unranked
0 citations

Andrew J. Holbrook, Jonathan E. Pekar, Itzue W. Caviedes-Solis, Fredrick A. Matsen, Guy Baele +5 more

ANTsX neuroimaging-derived structural phenotypes of UK Biobank

Research Square(2023)10.21203/rs.3.rs-3459157/v1
Top 100%
0DataRank
Top 100%0 citations

Michael A. Yassa, Batool Rizvi, Philip A. Cook, Andrew J. Holbrook, Mithra Sathishkumar +5 more

Quantum Speedups for Multiproposal MCMC

arXiv (Cornell University)(2023)10.48550/arxiv.2312.01402
N/A
0DataRank · unranked
0 citations

Kuo-Chin Chen, Philippe Lemey, Marc A. Suchard, Andrew J. Holbrook, Min-Hsiu Hsieh +1 more

On the surprising effectiveness of a simple matrix exponential derivative approximation, with application to global SARS-CoV-2

Proceedings of the National Academy of Sciences(2024)10.1073/pnas.2318989121
N/A
0DataRank · unranked
6 citations

Nathan Glatt-Holtz, Andrew J. Holbrook, Andrew F. Magee, Marc A. Suchard, Gustavo Didier

Parallel MCMC algorithms: theoretical foundations, algorithm design, case studies

Transactions of Mathematics and Its Applications(2024)10.1093/imatrm/tnae004
N/A
0DataRank · unranked
6 citations

Andrew J. Holbrook, Justin Krometis, Cecilia F. Mondaini, Nathan Glatt-Holtz

Sparse Bayesian multidimensional scaling(s)

arXiv (Cornell University)(2024)10.48550/arxiv.2406.15573
N/A
0DataRank · unranked
0 citations

Aaron Smith, Andrew J. Holbrook, Ami Sheth

Scaling Hawkes processes to one million COVID-19 cases

arXiv (Cornell University)(2024)10.48550/arxiv.2407.11349
N/A
0DataRank · unranked
0 citations

Marc A. Suchard, Andrew J. Holbrook, Seokbum Ko

A spatially varying hierarchical random effects model for longitudinal macular structural data in glaucoma patients

The Annals of Applied Statistics(2024)10.1214/24-aoas1944
N/A
0DataRank · unranked
0 citations

Robert E. Weiss, Kouros Nouri‐Mahdavi, Andrew J. Holbrook, Erica Su

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks

arXiv (Cornell University)(2024)10.48550/arxiv.2410.17398
N/A
0DataRank · unranked
0 citations

Andrew J. Holbrook, Justin Krometis, Cecilia F. Mondaini, Ami Sheth, Nathan Glatt-Holtz

Massive Parallelization Boosts Big Bayesian Multidimensional Scaling

Journal of Computational and Graphical Statistics(2020)10.1080/10618600.2020.1754226
N/A
0DataRank · unranked
2 citations

Philippe Lemey, Guy Baele, Simon Dellicour, Dirk Brockmann, Andrew Rambaut +2 more

Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2020)10.1002/dad2.12068
N/A
0DataRank · unranked
36 citations

Nicholas J. Tustison, Freddie Márquez, Jared M. Roberts, Michael A. Yassa, Daniel L. Gillen +2 more

The ANTsX ecosystem for quantitative biological and medical imaging

medRxiv(2020)10.1101/2020.10.19.20215392
N/A
0DataRank · unranked
31 citations

Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson, John Muschelli, Gabriel A. Devenyi +10 more

The ANTsX ecosystem for quantitative biological and medical imaging

Scientific Reports(2021)10.1038/s41598-021-87564-6
N/A
0DataRank · unranked
412 citations

Philip A. Cook, Andrew J. Holbrook, Hans J. Johnson, John Muschelli, Gabriel A. Devenyi +9 more