Engineering Applications of Computational Fluid Mechanics
Taylor and Francis Ltd.
United Kingdom
journal
SJR by Edition
Subject Categories
- Computer Science (miscellaneous)Q1
- Modeling and SimulationQ1
Areas: Computer Science · Mathematics
Most published research topics
Source: OpenAlex
Publication Statistics
Documents per Year
Detailed Information
ISSN
1997-003X, 1994-2060
SJR Best Quartile
Q1
Region
Western Europe
Citations per Document (2 years)
6.44
References per Document
52.07
Coverage
2009, 2011-2026
Scope
The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal. Focal points of the journal are: Innovative computational strategies, architectures, algorithms and techniques for engineering problems Analysis and simulation techniques and systems Quality and reliability, i.e. control of the accuracy, stability and efficiency of computational process New computing environments such as distributed heterogeneous and collaborative computing Advanced visualization techniques, virtual environments and prototyping Automatic generation of model and mesh Application of object-oriented technology to engineering problems Applications of artificial intelligence, knowledge-based systems, decision-support systems, fuzzy logic, neural networks and evolutionary computations Computer-aided design and integrated systems Industrial experiences in the application of the above techniques, e.g. case studies or bench-marking exercises. The journal publishes research papers, review articles and discussions.
Metrics from SCImago Journal Rank 2025. View on SCImago