ISSN: 1059-7123
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Adaptive Behavior Q1 Unclaimed
Adaptive Behavior is a journal indexed in SJR in Experimental and Cognitive Psychology and Behavioral Neuroscience with an H index of 59. It has an SJR impact factor of 0,562 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,562.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy: Open Choice
Type of publications:
Publication frecuency: -


- €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
0,562
SJR Impact factor59
H Index47
Total Docs (Last Year)157
Total Docs (3 years)3218
Total Refs282
Total Cites (3 years)126
Citable Docs (3 years)1.79
Cites/Doc (2 years)68.47
Ref/DocOther journals with similar parameters
Nature Human Behaviour Q1
Trends in Cognitive Sciences Q1
Developmental Review Q1
Behavior Research Methods Q1
Multivariate Behavioral Research Q1
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Aims and Scope
Best articles by citations
Adapting the Environment Instead of Oneself
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View moreBook Review: Enactive theory and the problem of non-sense
View moreStructural knowledge transfer by spatial abstraction for reinforcement learning agents
View moreRadical enactivism, Wittgenstein and the cognitive gap
View moreAssociative Learning on a Continuum in Evolved Dynamical Neural Networks
View moreFrom enactive concern to care in social life: towards an enactive anthropology of caring
View moreFrom enactive phenomenology to biosemiotic enactivism
View moreLearning Invariant Sensorimotor Behaviors: A Developmental Approach to Imitation Mechanisms
View moreAcquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition
View moreMultiple levels of spatial organization: World Graphs and spatial difference learning
View moreThe Advantages of Evolving Perceptual Cues
View moreAn Action-Selection Calculus
View moreUsing Optimal Foraging Models to Evaluate Learned Robotic Foraging Behavior
View moreParental Guidance Suggested: How Parental Imprinting Evolves Through Sexual Selection as an Adaptive Learning Mechanism
View moreEvolution of reflexive signals using a realistic vocal tract model
View moreInteractions with Takashi Gomi
View moreTakashi Gomi and the evolution of embodied AI
View moreTakashi Gomi: a bridge builder in robotics
View moreAffect, Anticipation, and Adaptation: Affect-Controlled Selection of Anticipatory Simulation in Artificial Adaptive Agents
View moreTakashi Gomi: contributor, organizer, interpreter, friend
View moreTakashi Gomi: founder, Applied AI Systems, Inc.
View moreEditorial: Adaptive Behavior's New Adaptations
View moreSynchronization of Internal Neural Rhythms in Multi-Robotic Systems
View more
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