Score breakdown

A Mathematical Theory of Communication

paper-0003 · paper · 1948

Claude E. Shannon

Created information theory; the quantitative substrate of all machine learning.

Abstract

The recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A basis for such a theory is contained in the important papers of Nyquist 1 and Hartley 2 on this subject. In the present paper we will extend the theory to include a number of new factors, in particular the effect of noise in the channel, and the savings possible due to the statistical structure of the original message and due to the nature of the final destination of the information. [OpenAlex]

Academic, score 0.0067

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent80721.00.3633530.50.181677OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.1recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.050.05OpenAlexmediumOpenAlex, CC0 metadatalink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed

Broad Influence, score 0.2727

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent80721.00.3633530.20.072671OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.125recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.40.4OpenAlexmediumOpenAlex, CC0 metadatalink
syllabus_adoptionsmissingrecorded as missing, penalized by rule, never imputed−0.075recorded as missing; penalized by rule, never imputed

Governance Practitioner, score -0.1342

MetricStatusValueNorm.WeightContributionSourceConfidenceLicenseProvenance
citation_countpresent80721.00.3633530.250.090838OpenAlexhighOpenAlex, CC0 metadatalink
library_holdingsmissingrecorded as missing, penalized by rule, never imputed−0.15recorded as missing; penalized by rule, never imputed
readership_persistencepresent15.01.00.10.1OpenAlexmediumOpenAlex, CC0 metadatalink
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.