ISSN: 1076-9757

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Journal of Artificial Intelligence Research Q1 Unclaimed

Morgan Kaufmann Publishers, Inc. United States

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Journal of Artificial Intelligence Research is a journal indexed in SJR in Artificial Intelligence with an H index of 123. It is an CC BY-SA-ND Journal with a Single blind Peer Review review system The scope of the journal is focused on artificial intelligence, computer science. It has an SJR impact factor of 1.485 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1.485.

Journal of Artificial Intelligence Research focuses its scope in these topics and keywords: pddl, random, road, role, semantic, strategies, survey, temporal, traffic, tree, ...

Type: Journal

Type of Copyright: CC BY-SA-ND

Languages: English

Open Access Policy: Open Access

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q1)

Price

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Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

Journal of Artificial Intelligence Research

1.485

SJR Impact factor

123

H Index

106

Total Docs (Last Year)

226

Total Docs (3 years)

7914

Total Refs

1227

Total Cites (3 years)

226

Citable Docs (3 years)

3.59

Cites/Doc (2 years)

74.66

Ref/Doc

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Aims and Scope

Best articles by citations

BnB-ADOPT: An Asynchronous Branch-and-Bound DCOP Algorithm

A Selective Macro-learning Algorithm and its Application to the NxN Sliding-Tile Puzzle

Squeaky Wheel Optimization

The Difficulties of Learning Logic Programs with Cut

Characterizations of Decomposable Dependency Models

Monotonicity and Persistence in Preferential Logics

Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs

Towards Flexible Teamwork

Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection

Coherent Integration of Databases by Abductive Logic Programming

Optimal Strategies for Simultaneous Vickrey Auctions with Perfect Substitutes

Gesture Salience as a Hidden Variable for Coreference Resolution and Keyframe Extraction

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Learning Membership Functions in a Function-Based Object Recognition System

Evolutionary Algorithms for Reinforcement Learning

Analysis of Three-Dimensional Protein Images

Pac-learning Recursive Logic Programs: Negative Results

On Planning while Learning

Pattern Matching and Discourse Processing in Information Extraction from Japanese Text

New Islands of Tractability of Cost-Optimal Planning

Learning Neural Audio Embeddings for Grounding Semantics in Auditory Perception