Nonlinear Component Analysis as a Kernel Eigenvalue Problem is a research paper published in Neural Computation (1998). On theSindex it has a DataRank of 1.3. It has been cited 8,045 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.
Base Score Contribution
1.3
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →FWCI
48.85
Citation Percentile
1.0%
Influential Citations
1101
Citation Trend
Fields of Study
Keywords
Additional file 2 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
Additional file 2 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
Additional file 3 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
Additional file 3 of CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
Additional file 1 of A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data
Additional file 1 of A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data
Additional file 1 of Assignment of structural domains in proteins using diffusion kernels on graphs
Additional file 1 of Assignment of structural domains in proteins using diffusion kernels on graphs
Additional file 1 of Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity
Additional file 1 of Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity