Animal Behaviour
Published by Elsevier
ISSN : 0003-3472 eISSN : 1095-8282
Abbreviation : Anim. Behav.
Aims & Scope
First published in 1953, Animal Behaviour is a leading international publication and has wide appeal, containing critical reviews, original papers, and research articles on all aspects of animal behaviour.
Book Reviews and Books Received sections are also included.
Growing interest in behavioural biology and the international reputation of Animal Behaviour prompted an expansion to monthly publication in 1989.
Animal Behaviour continues to be the journal of choice for biologists, ethologists, psychologists, physiologists, and veterinarians with an interest in the subject.
Research Areas include: • Behavioural ecology • Evolution of behaviour • Sociobiology • Ethology • Behavioural psychology • Behavioural physiology • Population biology • Sensory behaviour • Navigation and migration
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 2.1 |
2024 | 2.30 |
Journal Rank
Year | Value |
---|---|
2024 | 6592 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 1428 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.815 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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The repeatability of behaviour: a meta-analysis
Citation: 1743
Authors: Alison M., Shala J., Kate L.
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The evolution of polyandry: multiple mating and female fitness in insects
Citation: 1177
Authors: Göran, Tina
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A simple method for distinguishing within- versus between-subject effects using mixed models
Citation: 831
Authors: Martijn, Jonathan