Engineering with Computers

Aims & Scope

Engineering with Computers is an international journal for simulation-based engineering.

It publishes original papers and authoritative state-of-the-art reviews on the technologies supporting simulation-based engineering, and examples of operational simulation-based engineering systems.

A partial list of the technical areas covered includes: adaptive simulation techniques, engineering databases, integration with CAD geometry, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies and visualization techniques.

Application areas covered include any to which engineering technologies are applied and will range from applications in the automotive industry, to the design of medical devices.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.9

Journal Rank

Year	Value
2024	4060

Journal Citation Indicator

Year	Value
2024	6774

SJR (SCImago Journal Rank)

Year	Value
2024	1.110

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	93

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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.

• Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems

  Citation: 1858

  Authors: Amir Hossein, Xin-She, Amir Hossein

• Metamodels for Computer-based Engineering Design: Survey and recommendations

  Citation: 1441

  Authors: T.W., J.D., P. N., J.K.

• libMesh : a C++ library for parallel adaptive mesh refinement/coarsening simulations

  Citation: 582

  Authors: Benjamin S., John W., Roy H., Graham F.

• Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems

  Citation: 507

  Authors: Amir, Farzad

• Development of an ABAQUS plugin tool for periodic RVE homogenisation

  Citation: 458

  Authors: Sadik L., Peter D., Srinivas

• Multiobjective firefly algorithm for continuous optimization

  Citation: 417

  Authors: Xin-She

• Ten challenges in 3D printing

  Citation: 325

  Authors: William, Les A.

• Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

  Citation: 314

  Authors: Yingui, Jian, Manoj, Haitao, Peixi, Chuanqi

• Wild horse optimizer: a new meta-heuristic algorithm for solving engineering optimization problems

  Citation: 308

  Authors: Iraj, Farshid

• Prediction of seismic slope stability through combination of particle swarm optimization and neural network

  Citation: 307

  Authors: Behrouz, Danial, Mohsen, Masoud

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