Journal of Computational Methods in Sciences and Engineering

Aims & Scope

The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering.

Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole.

This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.

Moreover, the JCMSE shall try to simultaneously stimulate similar initiatives, within the realm of computational methods, from knowledge transfer for engineering to applied as well as to basic sciences and beyond.

The journal has four sections and welcomes papers on (1) Mathematics and Engineering, (2) Computer Science, (3) Biology and Medicine, and (4) Chemistry and Physics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.4

Journal Rank

Year	Value
2024	22572

Journal Citation Indicator

Year	Value
2024	423

SJR (SCImago Journal Rank)

Year	Value
2024	0.179

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	22

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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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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.

• AIM-UC: An application for QTAIM analysis

  Citation: 44

  Authors: D., D.

• E-government development models for municipalities

  Citation: 19

  Authors: Sussy, Vicente

• Features extraction for speech emotion

  Citation: 17

  Authors: Norhaslinda, Abdul

• AvatarSim: A multi-agent system for emergency evacuation simulation

  Citation: 17

  Authors: Sharad

• An LSTM-CNN attention approach for aspect-level sentiment classification

  Citation: 17

  Authors: Ming, Wen, Min, Jianping, Tao

• Support vector machines, Decision Trees and Neural Networks for auditor selection

  Citation: 16

  Authors: Efstathios, Charalambos, Yannis

• Chaotic time series prediction by artificial neural networks

  Citation: 16

  Authors: Marjan Kuchaki, Meysam

• Slot scheduling for wireless sensor networks

  Citation: 15

  Authors: Thibault, Hacène

• Mathematical modeling analysis of genetic algorithms under schema theorem

  Citation: 13

  Authors: Donghai

• A new image edge detection algorithm based on improved Canny

  Citation: 13

  Authors: Yiqin, Dan, Yeyu

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