International Journal of Applied Mathematics and Computer Science

Aims & Scope

The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences.

The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science.

In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.2

Journal Rank

Year	Value
2024	16176

Journal Citation Indicator

Year	Value
2024	231

SJR (SCImago Journal Rank)

Year	Value
2024	0.314

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	55

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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, Engineering 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.

• Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies

  Citation: 150

  Authors: Vicenç

• K3M: A universal algorithm for image skeletonization and a review of thinning techniques

  Citation: 140

  Authors: Khalid, Marek, Mariusz, Marcin

• Fractional Positive Continuous-Time Linear Systems and Their Reachability

  Citation: 140

  Authors: Tadeusz

• Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms

  Citation: 129

  Authors: Bogdan, Magdalena, Zbigniew, Tadeusz

• Learning the naive Bayes classifier with optimization models

  Citation: 127

  Authors: Sona, Musa

• Circular Object Detection Using a Modified Hough Transform

  Citation: 101

  Authors: Marcin, Ignacy

• Regularization Parameter Selection in Discrete Ill-Posed Problems — The Use of the U-Curve

  Citation: 97

  Authors: Dorota, Marek

• Fault Tolerant Control Design For Polytopic LPV Systems

  Citation: 87

  Authors: Mickael, Didier, Samir, Dominique

• Image Based Analysis of Complex Microstructures of Engineering Materials

  Citation: 86

  Authors: Tomasz, Wojciech, Krzysztof, Krzysztof

• A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

  Citation: 85

  Authors: S. Monira, M. Faisal, Hideo

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