Big Data and Cognitive Computing - MDPI | 2024 Impact Factor:4.4 | Cite Score:9.8 | Q2

Cite Score and Journal Rank of Big Data and Cognitive Computing

• About: The Big Data and Cognitive Computing Journal is a peer-reviewed journal that focuses on advancements and innovations at the intersection of big data and cognitive computing. It covers a wide range of topics including big data analytics, cognitive models, machine learning algorithms, natural language processing, data mining, neural networks, deep learning, and applications of cognitive computing in various domains such as healthcare, finance, smart cities, and industry.
• Objective:
  The primary objective of the journal is to provide a platform for researchers, practitioners, and academics to publish high-quality research papers, reviews, and case studies that advance the understanding and development of big data and cognitive computing technologies. It aims to foster collaboration and knowledge exchange among experts from academia, industry, and research institutions.
• Interdisciplinary Approach:
  The Big Data and Cognitive Computing Journal adopts an interdisciplinary approach, integrating insights and contributions from fields such as computer science, artificial intelligence, cognitive psychology, neuroscience, data science, and engineering. This collaborative perspective enables comprehensive exploration and innovation in methodologies, algorithms, and applications that leverage big data and cognitive computing techniques.
• Impact:
  The journal significantly impacts both academia and industry by influencing the development of new technologies, methodologies, and applications in big data analytics and cognitive computing. Its publications contribute to advancements in decision support systems, intelligent automation, predictive analytics, personalized services, and optimization of complex systems through data-driven insights and cognitive capabilities.
• Significance:
  The Big Data and Cognitive Computing Journal is significant in advancing the fields of big data and cognitive computing by disseminating authoritative research findings and practical insights. By publishing high-quality, peer-reviewed articles, the journal supports continuous improvement and innovation in technologies that harness the power of big data and cognitive computing, ultimately contributing to societal progress, economic growth, and transformative impacts in various sectors worldwide.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Prof. Dr. Min Chen

• Scope: The Big Data and Cognitive Computing journal focuses on the intersection of big data analytics and cognitive computing technologies. Here are the key areas typically covered in this journal:
• 1. Big Data Analytics:
  Techniques and methodologies for big data processing
  Data mining and machine learning for big data
  Scalable algorithms and systems for big data analytics
• 2. Cognitive Computing:
  Cognitive models and architectures
  Natural language processing and understanding
  Knowledge representation and reasoning
• 3. AI and Machine Learning:
  Deep learning and neural networks
  Reinforcement learning in cognitive systems
  Explainable AI and interpretable models
• 4. Cognitive Internet of Things (IoT):
  IoT architectures and cognitive capabilities
  Edge computing and cognitive IoT applications
  Sensor data analytics and cognitive IoT systems
• 5. Cognitive Analytics and Decision Support:
  Decision support systems based on cognitive computing
  Predictive analytics and prescriptive analytics
  Real-time analytics and cognitive insights
• 6. Applications of Big Data and Cognitive Computing:
  Healthcare analytics and personalized medicine
  Financial analytics and risk management
  Smart cities and urban analytics
• 7. Cognitive Security and Privacy:
  Security and privacy issues in cognitive computing
  Trust and ethical considerations
  Cognitive cybersecurity and threat intelligence
• 8. Emerging Technologies and Innovations:
  Blockchain and decentralized computing in cognitive systems
  Quantum computing and cognitive applications
  Applications of cognitive computing in novel domains
• Latest Research Topics for PhD in Big Data

• Print ISSN:  25042289

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus, ESCI

• Imapct Factor 2024:  4.4

• Subject Area and Category:  Business, Management and Accounting, Management Information Systems, Computer Science, Artificial Intelligence, Computer Science Applications, Information Systems

• Publication Frequency:  

• H Index:  44

• Best Quartile:

  Q1:  

  Q2:  Artificial Intelligence

  Q3:  

  Q4:  

• Cite Score:  9.8

• SNIP:  1.785

• Journal Rank(SJR):  0.922

• Latest Articles:   Latest Articles in Big Data and Cognitive Computing

• Guidelines for Authors: Big Data and Cognitive Computing Author Guidelines

• Paper Submissions: Paper Submissions in Big Data and Cognitive Computing

• Publisher:  MDPI AG

  Country:  Switzerland

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