Mathematical Problems in Engineering

Aims & Scope

Mathematical Problems in Engineering is a broad-based journal which publishes articles of interest in all engineering disciplines.

Mathematical Problems in Engineering publishes results of rigorous engineering research carried out using mathematical tools.

Contributions containing formulations or results related to applications are also encouraged.

The primary aim of Mathematical Problems in Engineering is rapid publication and dissemination of important mathematical work which has relevance to engineering.

All areas of engineering are within the scope of the journal.

In particular, aerospace engineering, bioengineering, chemical engineering, computer engineering, electrical engineering, industrial engineering and manufacturing systems, and mechanical engineering are of interest.

Mathematical work of interest includes, but is not limited to, ordinary and partial differential equations, stochastic processes, calculus of variations, and nonlinear analysis.

View Aims & Scope

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Metrics & Ranking

SJR (SCImago Journal Rank)

Year	Value
2024	0.400

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	95

Journal Rank

Year	Value
2024	13782

Journal Citation Indicator

Year	Value
2024	11377

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in 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.

• DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

  Citation: 751

  Authors: Sheng-Li, Xiao-Yue, Hu-Chen, Ping

• Theory and computation of disturbance invariant sets for discrete‐time linear systems

  Citation: 691

  Authors: Ilya, Elmer G.

• Review on Methods to Fix Number of Hidden Neurons in Neural Networks

  Citation: 690

  Authors: K. Gnana, S. N.

• A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

  Citation: 487

  Authors: Yudong, Shuihua, Genlin

• Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models

  Citation: 406

  Authors: Dieu, Biswajeet, Owe, Inge

• Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

  Citation: 352

  Authors: Quang Hung, Hai-Bang, Lanh Si, Nadhir, Hiep Van, Van Quan, Indra, Binh Thai

• A Review of Definitions for Fractional Derivatives and Integral

  Citation: 338

  Authors: Edmundo Capelas, José António

• Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors

  Citation: 286

  Authors: Yu, Rennong, Guillaume, Ximeng, Zhenxing

• Prognostics and Health Management: A Review on Data Driven Approaches

  Citation: 272

  Authors: Kwok L., Nan, Qiang, Yizhen, Wenbin

• Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review

  Citation: 256

  Authors: Afshan, Aqsa, Umer, Jameel, Nouman, Naeem Iqbal, Bushra, Saadat Hanif, Muhammad, Tehmina

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