ISSN: 0004-3702

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Artificial Intelligence Q1 Unclaimed

Elsevier Netherlands

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Artificial Intelligence is a journal indexed in SJR in Artificial Intelligence and Language and Linguistics with an H index of 161. It has an SJR impact factor of 1,819 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,819.

Artificial Intelligence focuses its scope in these topics and keywords: reasoning, selection, instance, mathematical, logic, refute, structurewhy, theorem, treatment, wikipediawanted, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q1) Linguistics and Language (Q1)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

1,819

SJR Impact factor

161

H Index

111

Total Docs (Last Year)

281

Total Docs (3 years)

6852

Total Refs

2150

Total Cites (3 years)

280

Citable Docs (3 years)

6.28

Cites/Doc (2 years)

61.73

Ref/Doc

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Aims and Scope

Best articles by citations

Computer-aided thinking by mapping text-objects into metric spaces

An empirical study of automated dictionary construction for information extraction in three domains

A comprehensive methodology for building hybrid models of physical systems

Artificial intelligence: A modern approach

Abduction to plausible causes: an event-based model of belief update

Abductive consequence relations

The common order-theoretic structure of version spaces and ATMSs

"Field Reviews": A new style of review article for Artificial Intelligence

Dynamic tunneling based regularization in feedforward neural networks

Probably approximately optimal satisficing strategies

Global surface reconstruction by purposive control of observer motion

A situated view of representation and control

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Irrelevance and parameter learning in Bayesian networks

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A glimpse at the metaphysics of Bongard problems

Representations and solutions for game-theoretic problems

Hybrid hardware for a highly parallel search in the context of learning classifiers

Local conditioning in Bayesian networks

An algorithm for rinding MAPs for belief networks through cost-based abduction

Exploratory analysis of speedup learning data using expectation maximization

Learning dynamics: system identification for perceptually challenged agents

Transferring skills to humanoid robots by extracting semantic representations from observations of human activities