Journal of Artificial Intelligence and Soft Computing Research

Aims & Scope

Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques.

Our goal is to bring together scientists representing both approaches and various research communities.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.4
2024	3.30

Journal Rank

Year	Value
2024	11922

Journal Citation Indicator

Year	Value
2024	149

SJR (SCImago Journal Rank)

Year	Value
2024	0.483

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	29

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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 Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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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.

• Performance Evaluation of Deep Neural Networks Applied to Speech Recognition: RNN, LSTM and GRU

  Citation: 446

  Authors: Apeksha, Deepika, Simone A.

• A Survey of Artificial Intelligence Techniques Employed for Adaptive Educational Systems within E-Learning Platforms

  Citation: 207

  Authors: Khalid, Hani, Daniyal, Ghadah

• Population Diversity Maintenance In Brain Storm Optimization Algorithm

  Citation: 113

  Authors: Shi, Yuhui, Quande, Qingyu, Ruibin

• Application Of Artificial Intelligence Methods In Drilling System Design And Operations: A Review Of The State Of The Art

  Citation: 109

  Authors: Opeyemi, Javier, Tanveer, Catalin

• An Artificial Potential Field Based Mobile Robot Navigation Method To Prevent From Deadlock

  Citation: 87

  Authors: Tharindu, Kazuo, Amir Ali Forough

• Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks

  Citation: 83

  Authors: Jarosław, Bartosz, Alina, Jacek M.

• Feature Selection Using Particle Swarm Optimization in Text Categorization

  Citation: 81

  Authors: Mehdi Hosseinzadeh, Setareh

• Characterization of Symbolic Rules Embedded in Deep DIMLP Networks: A Challenge to Transparency of Deep Learning

  Citation: 74

  Authors: Guido, Yoichi

• The Training Of Multiplicative Neuron Model Based Artificial Neural Networks With Differential Evolution Algorithm For Forecasting

  Citation: 63

  Authors: Eren

• A New Method for Automatic Determining of the DBSCAN Parameters

  Citation: 60

  Authors: Artur, Piotr, Meng Joo

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