High-Performance Statistical Computing in the Computing Environments of the 2020s is a research paper published in Statistical Science (2022). On theSindex it has a DataRank of 0. It has been cited 14 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
NHLBI NIH HHS
Grant: R21 HL150374
NIDDK NIH HHS
Grant: K01 DK106116
NIGMS NIH HHS
Grant: R35 GM141798
NICHD NIH HHS
Grant: R25 HD108136
NHGRI NIH HHS
Grant: R01 HG006139
National Institutes of Health
Grant: 5K01DK106116-03
Develop T2D Patient-Centered Treatment Suggestion Rule using EMR data
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01HG006139-06
Genomics, GPUs, and Next Generation Computational Statistics
National Institutes of Health
Grant: 5R35GM141798-05
Modeling, Inference, and Optimization for Genomic and Biomedical Big Data
National Science Foundation
Grant: 2054253
DMS/NIGMS 2: Statistical Methods and Computational Algorithms for Biobank Data
National Institutes of Health
Grant: 1R21HL150374-01A1
A Role for Glycemic Variation in Optimizing Management of Diabetes and Vascular Complications
Fields of Study
Keywords