Score breakdown

Adam: A Method for Stochastic Optimization

paper-0070 · paper · 2015

Diederik P. Kingma, Jimmy Ba

The default optimizer of deep learning; among the most-cited papers in CS.

Academic, score 0.0123

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent84784.00.3816450.50.190823OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent14.00.9285710.050.046429OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2478

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent84784.00.3816450.20.076329OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent14.00.9285710.40.371429OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.1367

MetricStatusValueNorm.WeightContributionSourceConfidenceProvenance
citation_countpresent84784.00.3816450.250.095411OpenAlexmediumlink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent14.00.9285710.10.092857OpenAlexlowlink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.175recorded as missing; penalized by rule, never imputed

A rank is not a verdict on intrinsic worth. It is a transparent output of declared evidence, weights, and missing-data rules at a specific release date.

Disagree with this rank or a number? Challenge it with your evidence. Every challenge gets a public identifier and a published resolution.