Neural Networks Q1 Unclaimed

Elsevier Ltd. United Kingdom
Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

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Neural Networks focuses its scope in these topics and keywords: neural, learning, network, networks, ganglia, functionsthe, implementation, kernelsa, mapcostefficient, largescale, ...

Type: Journal

Type of Copyright: NA

Languages: English

Open Access Policy: NA

Type of publications: NA

Publication frecuency: NA

Price

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Gold OA

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Green OA

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Non OA

Metrics

Neural Networks

1,718

SJR Impact factor

148

H Index

373

Total Docs (Last Year)

580

Total Docs (3 years)

19774

Total Refs

6106

Total Cites (3 years)

575

Citable Docs (3 years)

11,02

Cites/Doc (2 years)

53,01

Ref/Doc

Aims and Scope


neural, learning, network, networks, ganglia, functionsthe, implementation, kernelsa, mapcostefficient, largescale, graphsmodels, method, model, modeling, mst, mt, multilevel, multiple, fpga, fat, explained, algorithm, analysisevolutional, application, areas, associative, back, basal, connection, convolutional, detectionreaction, development, discontinuous, emergent, epilepsy, NA


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