Biologically Inspired Cognitive Architectures

Biologically Inspired Cognitive Architectures is published by Elsevier BV. By OpenAlex counts of its recent articles, its largest topics are Psychiatry, Mental Health, Neuroscience, Cognitive Computing and Networks and AI-based Problem Solving and Planning, together about 49.4% of its articles. Its main subfields are Artificial Intelligence and Cognitive Neuroscience. (generated from OpenAlex topic counts and CAS ranking data)

Announcing the merge of Biologically Inspired Cognitive Architectures with Cognitive Systems Research. Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.

Source: LetPub

Research area (LetPub): COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEN-NEUROSCIENCES

CAS Journal Ranking

CiteScore quartiles (Scopus, June 2026 release)

Scopus ranks journals by CiteScore within each subject: the 75th percentile and above is Q1, then a quartile every 25 points. A different system from the CAS zones.LetPub

Database indexing

Indexed in: no record yet.

International journal early-warning lists: not listed in any editionLetPub

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Impact

CiteScore 2026-06

3.6LetPub · 2026-11-01

SJR 2026-06

0.23LetPub · 2026-11-01

SNIP 2026-06

1.01LetPub · 2026-11-01

h-index

15LetPub · 2026-11-01

h-index

33OpenAlex · 2026-11-01

i10-index

119OpenAlex · 2026-11-01

2-year mean citedness

0OpenAlex · 2026-11-01

Share of gold OA articles

0%LetPub · 2026-11-01

Sources count differently and were observed at different times, so each source's own value is kept; "publisher" marks figures from the journal's website.

The journal's website is authoritative for fees; sources were observed at different times and each keeps its own value, without averaging.

Publisher

Elsevier BV

Country or region

NETHERLANDS

ISSN

2212-683X

Official links

• Journal homepage ↗OpenAlex
• Submission system ↗LetPub
• Special issues ↗Publisher website