Babak Shahbaba

Computer ScienceMathematicsMedicine

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

0.471Author 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Genetic Variation and Stroke Recovery: The STRONG Study

Stroke(2024)10.1161/strokeaha.124.047643

Top 40%

0.471DataRank

Top 40%14 citations

Livia Parodi, Zahra Moslemi, Robynne Braun, Chad Aldridge, Babak Shahbaba +50 more

Papers

Driven by 17 papers — median percentile 60. Top paper: “Genetic Variation and Stroke Recovery: The STRONG Study”.

Genetic Variation and Stroke Recovery: The STRONG Study

Stroke(2024)10.1161/strokeaha.124.047643

Top 40%

0.471DataRank

Top 40%14 citations

Livia Parodi, Zahra Moslemi, Robynne Braun, Chad Aldridge, Babak Shahbaba +50 more

Optimal experimental design for mathematical models of haematopoiesis

Journal of The Royal Society Interface(2021)10.1098/rsif.2020.0729

N/A

0DataRank · unranked

14 citations

Abdon Iniguez, Prasanthi Tata, Nilamani Jena, Zhongying Liu, Richard Van Etten +5 more

Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks

arXiv (Cornell University)(2021)10.48550/arxiv.2101.03906

N/A

0DataRank · unranked

2 citations

Shuyi Li, Babak Shahbaba, Shiwei Lan

A Flexible Joint Longitudinal-Survival Model for Analyzing Longitudinally Sampled Biomarkers

Open Journal of Statistics(2021)10.4236/ojs.2021.115046

N/A

0DataRank · unranked

0 citations

Tracy Holsclaw, Babak Shahbaba, Daniel L. Gillen, Sepehr Akhavan Masouleh

A Horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

arXiv (Cornell University)(2021)10.48550/arxiv.2106.08281

N/A

0DataRank · unranked

0 citations

Ricardo Antunes Azevedo, Chelsie Lo, Damian G. Wheeler, Sunil Gandhi, Michele Guindani +2 more

Hippocampal ensembles represent sequential relationships among an extended sequence of nonspatial events

Nature Communications(2022)10.1038/s41467-022-28057-6

N/A

0DataRank · unranked

49 citations

Lingge Li, Forest Agostinelli, Mansi Saraf, Keiland W Cooper, Derenik Haghverdian +4 more

Association of Congenital and Acquired Cardiovascular Conditions With COVID-19 Severity Among Pediatric Patients in the US

JAMA Network Open(2022)10.1001/jamanetworkopen.2022.11967

N/A

0DataRank · unranked

24 citations

Bradley J. Roth, Anita Patel, Olivia Heutlinger, Carly Heffernan, Antonio Arrieta +9 more

A horseshoe mixture model for Bayesian screening with an application to light sheet fluorescence microscopy in brain imaging

The Annals of Applied Statistics(2023)10.1214/23-aoas1736

N/A

0DataRank · unranked

5 citations

Ricardo Antunes Azevedo, Chelsie Lo, Damian G. Wheeler, Sunil Gandhi, Michele Guindani +2 more

Improving clinical efficiency in screening for cognitive impairment due to Alzheimer's

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2023)10.1002/dad2.12494

N/A

0DataRank · unranked

7 citations

Babak Shahbaba, Craig E.L. Stark, Yueqi Ren

Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes

PubMed(2023)10.48550/arxiv.2302.04534

N/A

0DataRank · unranked

1 citations

Babak Shahbaba, Stephan Mandt, Maurizio Filippone, Ba-Hien Tran

Using multimodal, low‐cost data to efficiently identify clinical subgroups and classify Alzheimer’s diagnosis

Alzheimer s & Dementia(2023)10.1002/alz.080159

N/A

0DataRank · unranked

0 citations

Babak Shahbaba, Craig E.L. Stark, Yueqi Ren

tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data

Nature Communications(2024)10.1038/s41467-024-48041-6

N/A

0DataRank · unranked

17 citations

Michelle N. Ngo, Satya Swaroop Karri, Lam C. Tsoi, Jóhann E. Guðjónsson, Babak Shahbaba +3 more

A Model-Agnostic Graph Neural Network for Integrating Local and Global Information

Journal of the American Statistical Association(2024)10.1080/01621459.2024.2404668

N/A

0DataRank · unranked

3 citations

Annie Qu, Keiland W Cooper, Norbert J. Fortin, Babak Shahbaba, Wenzhuo Zhou

Predicting postmortem neuropathology of Alzheimer’s disease and related dementias using widely accessible clinical data

Alzheimer s & Dementia(2024)10.1002/alz.092688

N/A

0DataRank · unranked

0 citations

Babak Shahbaba, Craig E.L. Stark, Yueqi Ren

Optimal Transport based Cross-Domain Integration for Heterogeneous Data

Journal of the American Statistical Association(2025)10.1080/01621459.2025.2540653

N/A

0DataRank · unranked

3 citations

Yifan Zhang, Babak Shahbaba, Norbert J. Fortin, Keiland W Cooper, Qing Nie +2 more

A refined cell-of-origin classifier with targeted NGS and artificial intelligence shows robust predictive value in DLBCL

Blood Advances(2020)10.1182/bloodadvances.2020001949

N/A

0DataRank · unranked

40 citations

Hongwei Zhang, Feng Zhu, Alexandar Tzankov, Govind Bhagat, Carlo Visco +23 more

Identifying dementia neuropathology using low‐burden clinical data

Alzheimer s & Dementia(2025)10.1002/alz.70539

N/A

0DataRank · unranked

2 citations

Babak Shahbaba, Craig E.L. Stark, Yueqi Ren

Babak Shahbaba

Indexed papers

Top data-sharing exemplar

Papers