scopus journal list
Fast Publication Scopus Journals
Departments Covered- Mathematics, Engineering, Computer Science, Decision Sciences
About: Fast Publication Scopus Journals, Part# 28
Post date: 19.06.2024
Collections by Team JobSkillsMentor
Details:
Publishing research findings is a crucial step in academia, but the lengthy process can delay the dissemination of valuable knowledge. Fortunately, there are journals that prioritize rapid publication, allowing researchers to share their work with the world in a timely manner. In this blog post, we’ve compiled a list of fast publication journals across various disciplines to help researchers accelerate their research impact.
Scopus Website: https://www.scopus.com/sources.uri
fast publication scopus journals
Journal 1: Engineering Analysis with Boundary Elements
| Journal | Engineering Analysis with Boundary Elements |
| ISSN | 0955-7997 |
| CiteScore | 5.6 |
| Issues | 12 |
| Time from Submission to Acceptance (Months) | 3-4 |
| Publisher | Elsevier |
| Aim and Scope | Engineering Analysis with Boundary Elementspublishes topics including: • Boundary Element Methods • Method of Fundamental Solutions and Related Methods • Radial Basis Function Collocation Methods • Other Mesh Reduction and Meshless Methods • Particle Methods • Other Emerging and Non-Traditional Numerical Methods • Advanced Engineering Analyses and Applications |
| Publication Model | Open Access and Subscription |
fast publication journals
Journal 2: Engineering Applications of Artificial Intelligence
| Journal | Engineering Applications of Artificial Intelligence |
| ISSN | 0952-1976 |
| CiteScore | 12.3 |
| Issues | 12 |
| Time from Submission to Acceptance (Months) | 4-5 |
| Publisher | Elsevier |
| Aim and Scope | Focal points of the journal include, but are not limited to innovative applications of: • Internet–of–things and cyber-physical systems • Intelligent transportation systems & smart vehicles • Big data analytics, understanding complex networks • Neural networks, fuzzy systems, neuro-fuzzy systems • Deep learning and real world applications • Self-organizing, emerging or bio-inspired system • Global optimization, Meta-heuristics and their applications: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired meta-heuristics, etc. • Architectures, algorithms and techniques for distributed AI systems, including multi-agent based control and holonic control • Decision-support systems • Aspects of reasoning: abductive, case-based, model-based, non-monotonic, incomplete, progressive and approximate reasoning • Applications of chaos theory and fractals • Real-time intelligent automation, and their associated supporting methodologies and techniques, including control theory and industrial informatics • Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems • Perception, e.g. image processing, pattern recognition, vision systems, tactile systems, speech recognition and synthesis • Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability • Intelligent fault detection, fault analysis, diagnostics and monitoring • Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises • Robotics |
| Publication Model | Open Access and Subscription |
free scopus indexed journals
Journal 3: Computers and Electrical Engineering
| Journal | Computers and Electrical Engineering |
| ISSN | 0045-7906 |
| CiteScore | 7.1 |
| Issues | 12 |
| Time from Submission to Acceptance (Months) | 4-5 |
| Publisher | Elsevier |
| Aim and Scope | The journal publishes papers featuring novel implementations of computers and computational techniques in areas like: • Signal Processing • Power Engineering (including renewable and green energies) • Artificial Intelligence – methods and applications • Security • Privacy • Communication |
| Publication Model | Open Access and Subscription |
Journal 4: Digital Signal Processing
| Journal | Digital Signal Processing |
| ISSN | 1051-2004 |
| CiteScore | 4.5 |
| Issues | 12 |
| Time from Submission to Acceptance (Months) | 4-5 |
| Publisher | Elsevier |
| Aim and Scope | The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging applications of signal processing such as: • big data • machine learning • internet of things • information security • systems biology and computational biology • financial time series analysis • autonomous vehicles • quantum computing • neuromorphic engineering • human-computer interaction and intelligent user interfaces • environmental signal processing • geophysical signal processing including seismic signal processing • chemioinformatics and bioinformatics • audio, visual and performance arts • disaster management and prevention • renewable energy |
| Publication Model | Open Access and Subscription |
fast publishing scopus indexed journals
fast publishing scopus indexed journals in computer science
For a successful researcher, two things are important:
- Timely publication- This is possible by fast publication journals
- Paper quality- Quality of words, Quality of figures, and Quality of tables
Note:
Generally, the probability of a paper being accepted for publication in a newly added journal is higher than an established journal. However, this probability depends on various factors, including the journal’s editorial policies, review process, and the quality of submissions received. The information available in this post is taken from respective journal websites. However, the journal updates information on their website regularly. Therefore, Authors are advised to do a through study about journal before submission of paper. Please provide your feedback by posting comments.
Read More: Fast Publication Scopus Journals
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