Computing - Springer - Impact Factor - S-Logix

Computing - Springer | 2024 Impact Factor:2.8 | Cite Score: 8.7 | Q1

Impact Factor and Journal Rank of Computing

About: Computing is a well-established international journal that publishes high-quality research papers, reviews, and technical notes in the field of computer science and its applications. The journal aims to provide a comprehensive forum for the dissemination of significant research results and innovative solutions across all areas of computing.
Objective: The primary objective of the journal is to advance the knowledge and understanding of computing by publishing original research that addresses theoretical, practical, and technological aspects. The journal seeks to bridge the gap between theory and practice, promoting the application of research findings in real-world computing systems.
Interdisciplinary Focus: Computing embraces an interdisciplinary focus, covering a wide range of topics such as algorithms, data structures, artificial intelligence, machine learning, software engineering, network and distributed systems, and computational theory. This broad scope encourages the integration of diverse perspectives and techniques to tackle complex computing challenges.
Global Reach and Impact: The journal has a global reach, attracting contributions from researchers, academics, and professionals worldwide. Its impact is evident through its extensive citation rates and its role in influencing both research and practice in the field of computing.
High Standards and Rigorous Review: Computing maintains high standards through a rigorous peer-review process, ensuring that only high-quality and relevant research is published. This thorough review process helps uphold the journal reputation for excellence and reliability in the computing community.
Significance: By providing a platform for the dissemination of pioneering research and innovative solutions, the Computing Journal plays a crucial role in advancing the field of computer science. The journal contributes to the development of new methodologies, the improvement of computing practices, and the overall enhancement of technology and information systems globally.

Journal Home: Journal Homepage

Editor-in-Chief: Schahram Dustdar

Scope: The Computing Journal is a distinguished international publication that covers a broad spectrum of research in the field of computing. The journal aims to provide a comprehensive platform for scientists, researchers, and practitioners to share innovative findings and advancements in various areas of computing. Below are the key focus areas and scope of the journal:
1. Algorithms and Theory:
Research on the development and analysis of algorithms.
Studies on computational complexity and theoretical computer science.
Advances in graph theory, combinatorial optimization, and algorithmic game theory.
2. Artificial Intelligence and Machine Learning:
Exploration of AI methodologies, including neural networks, deep learning, and reinforcement learning.
Research on natural language processing, computer vision, and autonomous systems.
Advances in AI applications in various domains such as healthcare, finance, and robotics.
3. Data Science and Big Data:
Studies on data mining, data analytics, and statistical methods for large datasets.
Research on big data technologies, including Hadoop, Spark, and NoSQL databases.
Advances in data visualization, data management, and data-driven decision making.
4. Software Engineering:
Exploration of software development methodologies, including agile, DevOps, and model-driven engineering.
Research on software testing, quality assurance, and maintenance.
Advances in software design, architecture, and component-based development.
5. Systems and Networking:
Studies on computer networks, network protocols, and communication systems.
Research on distributed systems, cloud computing, and Internet of Things (IoT).
Advances in network security, privacy, and performance optimization.
6. Human-Computer Interaction:
Research on user interface design, usability, and user experience.
Studies on interaction techniques, virtual reality, and augmented reality.
Advances in accessibility, computer-supported cooperative work, and social computing.
7. Computational Biology and Bioinformatics:
Exploration of computational methods for analyzing biological data.
Research on genomics, proteomics, and systems biology.
Advances in bioinformatics tools, algorithms, and applications in life sciences.
8. Security and Privacy:
Studies on cryptography, network security, and information assurance.
Research on privacy-preserving technologies, secure computation, and cybersecurity.
Advances in security protocols, threat detection, and mitigation strategies.
9. Parallel and Distributed Computing:
Research on parallel algorithms, distributed computing frameworks, and high-performance computing.
Studies on multicore processors, GPU computing, and parallel programming models.
Advances in distributed storage, cloud infrastructure, and grid computing.
10. Computational Science and Engineering:
Exploration of numerical methods, scientific computing, and simulation techniques.
Research on computational modeling in physics, chemistry, and engineering.
Advances in computational tools, software, and applications in various scientific domains.