Orthogonal Trace-Sum Maximization: Applications, Local Algorithms, and Global Optimality is a research paper published in SIAM Journal on Matrix Analysis and Applications (2021). On theSindex it has a DataRank of 0. It has been cited 4 times.
Scored on demand from live citation data
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.
National Institutes of Health
Grant: 1R35GM141798
National Institutes of Health
Grant: R01HG006139
National Research Foundation of Korea
Grant: 2019R1A2C1007126
National Science Foundation
Grant: DMS-2054253
NIGMS NIH HHS
Grant: R35 GM141798
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
FWCI
0.46
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals