International Review on Modelling and Simulations

Aims & Scope

The International Review on Modelling and Simulations (IREMOS) is a peer-reviewed journal that publishes original theoretical and applied papers concerning Modelling, Numerical studies, Algorithms and Simulations in all the engineering fields.

The topics to be covered include, but are not limited to: theoretical aspects of modelling and simulation, methods and algorithms for design control and validation of systems, tools for high performance computing simulation.

The applied papers can deal with Modelling, Numerical studies, Algorithms and Simulations regarding all the engineering fields; particularly about the electrical engineering (power system, power electronics, automotive applications, power devices, energy conversion, electrical machines, lighting systems and so on), the mechanical engineering (kinematics and dynamics of rigid bodies, vehicle system dynamics, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, computational mechanics, mechanics of materials and structures, plasticity, hydromechanics, aerodynamics, aeroelasticity, biomechanics, geomechanics, thermodynamics, heat transfer, refrigeration, fluid mechanics, micromechanics, nanomechanics, robotics, mechatronics, combustion theory, turbomachinery, manufacturing processes and so on), the chemical engineering (chemical reaction engineering, environmental chemical engineering, materials synthesis and processing and so on).

IREMOS also publishes letters to the Editor and research notes which discuss new research, or research in progress in any of the above thematic areas.

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	18558

Journal Citation Indicator

Year	Value
2024	152

SJR (SCImago Journal Rank)

Year	Value
2024	0.251

Quartile

Year	Value
2024	Q3

h-index

Year	Value
2024	26

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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 Chemical Engineering, 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.

• An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems

  Citation: 31

  Authors: Hong, Mohd Herwan, Mohd Rusllim

• Application of Genetic Algorithm-Multiple Linear Regression and Artificial Neural Network Determinations for Prediction of Kovats Retention Index

  Citation: 25

  Authors: Rinaldi, Teuku Rizky, Aga, Rivansyah, Novi Reandy, Muslem, Ghazi Mauer, Pati, Irvanizam

• An ANFIS Based Advanced MPPT Control of a Wind-Solar Hybrid Power Generation System

  Citation: 24

  Authors: A. Ali, R., M. D.

• Use of Fuzzy Clustering Algorithms Ensemble for SVM Classifier Development

  Citation: 23

  Authors: Liliya, Yulia, Evgeny

• Design and Implementation of Active Two Axes Solar Tracking System Using Particle Swarm Optimization Based Fuzzy Logic Controller

  Citation: 16

  Authors: Imam, Ali, Adi

• Photovoltaic Maximum Power Point Tracking Based on ANN Control

  Citation: 14

  Authors: Maissa, Aymen, Lassâad

• Retention Index Prediction of Flavor and Fragrance by Multiple Linear Regression and the Genetic Algorithm

  Citation: 13

  Authors: Rinaldi, Teuku Rizky, Aga, Rivansyah, Novi Reandy, Muslem, Ghazi Mauer, Irvanizam

• Modeling and Control of a Wind System based on a DFIG by Active Disturbance rejection control

  Citation: 13

  Authors: Rachid, A., M.

• Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: a Review

  Citation: 13

  Authors: Ali, Bassel, Mohammad, Imtinan, Omar

• Simulation of In-Sensor Processes in the Sensor – Object System Type when Scanning the Elements of Underwater Communication Lines with a Probe Beam

  Citation: 12

  Authors: Anton, Anatoliy, Sergei, Sergey

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