Cognitive Computation

Aims & Scope

Cognitive Computation is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving biologically-inspired computational accounts of all aspects of natural and artificial cognitive systems.

It provides a new platform for the dissemination of research, current practices and future trends in the emerging discipline of cognitive computation that bridges the gap between life sciences, social sciences, engineering, physical and mathematical sciences, and humanities.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.3
2024	4.30

SJR (SCImago Journal Rank)

Year	Value
2024	0.841

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	73

Journal Rank

Year	Value
2024	6307

Journal Citation Indicator

Year	Value
2024	2044

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Neuroscience, designed to support cutting-edge academic discovery.

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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.

• An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

  Citation: 855

  Authors: Guang-Bin

• Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence

  Citation: 821

  Authors: Vikas, Vinay, Atmesh, Abhinandan, Divyansh, Kaizhu, Simone, Indro, Mufti, Amir

• Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors

  Citation: 714

  Authors: Pentti

• What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle

  Citation: 415

  Authors: Guang-Bin

• Three-Way Decisions and Cognitive Computing

  Citation: 365

  Authors: Yiyu

• Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion

  Citation: 323

  Authors: Parag K., Tim J., Robin L., John M.

• Deep Learning in Mining Biological Data

  Citation: 316

  Authors: Mufti, M. Shamim, T. Martin, Amir

• Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis

  Citation: 269

  Authors: Yukun, Haiyun, Tahir, Erik, Amir

• Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

  Citation: 264

  Authors: Jinpeng, Zhaoxiang, Huiguang

• Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19

  Citation: 248

  Authors: Abdullahi Umar, Mehmet, Sertan, Fadi, Polycarp Shizawaliyi

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