Inteligencia Artificial Asociacion Espanola de Inteligencia Artificial Journal Impact Factor

Inteligencia Artificial - Asociacion Espanola de Inteligencia Artificial | 2024 Impact Factor:3.7 | Cite Score:2.6 | Q4

Inteligencia Artificial Journal With Cite Score

Cite Score and Journal Rank of Inteligencia Artificial

About: The Inteligencia Artificial Journal publishes high-quality research articles, technical papers, and reviews that focus on artificial intelligence (AI). Topics covered include machine learning, neural networks, natural language processing, computer vision, robotics, and AI applications in different sectors such as healthcare, finance, and industry. The journal aims to advance the state of the art in AI and promote the development and application of AI technologies.
Objective
The primary objective of the journal is to provide a platform for researchers and practitioners to share innovative ideas, methodologies, and applications in the field of artificial intelligence. It seeks to support the advancement of AI technologies and their integration into practical solutions that address real-world problems. The journal aims to foster collaboration and knowledge exchange among AI researchers and practitioners.
Interdisciplinary Approach
Inteligencia Artificial Journal adopts an interdisciplinary approach by integrating insights from various fields related to artificial intelligence. This includes computer science, mathematics, cognitive science, and engineering. The journal encourages research that combines these disciplines to develop comprehensive AI solutions and explore new applications of AI technologies.
Impact and Significance
The journal has a significant impact on the field of artificial intelligence by providing a venue for cutting-edge research and practical innovations. It influences research directions, contributes to the development of new AI techniques, and supports the application of AI in diverse domains. Inteligencia Artificial Journal plays a crucial role in advancing the field of AI and promoting its adoption in various sectors.

Journal Home: Journal Homepage

Editor-in-Chief: Prof. Miguel A. Salido,

Scope: The Inteligencia Artificial Journal is a peer-reviewed journal focused on the field of artificial intelligence (AI). It covers a broad range of topics within AI, including theoretical advancements, practical applications, and interdisciplinary approaches. The journal aims to contribute to the advancement of AI through high-quality research and innovative solutions.
Artificial Intelligence Theory and Foundations:
Research on the theoretical underpinnings of artificial intelligence
Innovations in AI algorithms, models, and methodologies
Developments in foundational concepts such as machine learning, neural networks, and natural language processing
Case studies exploring the application of theoretical AI principles to real-world problems
Trends in the evolution of AI theory and its implications for future research
Future directions for advancing AI theory and foundational research
Machine Learning and Data Science:
Research on machine learning techniques, including supervised, unsupervised, and reinforcement learning
Innovations in data science methodologies for extracting insights and making predictions from large datasets
Developments in machine learning models and their applications in various domains
Case studies demonstrating the impact of machine learning and data science on different industries
Trends in the integration of machine learning with emerging technologies such as big data and IoT
Future directions for advancing machine learning and data science applications
Artificial Intelligence Applications:
Research on the application of AI in various fields, including healthcare, finance, robotics, and more
Innovations in AI-driven solutions and technologies for solving practical problems
Developments in the deployment and scalability of AI systems in real-world settings
Case studies highlighting successful AI applications and their impact on industry and society
Trends in the application of AI to new and emerging domains
Future directions for expanding the use of AI across different sectors and industries
Human-Computer Interaction and AI:
Research on the interaction between humans and AI systems
Innovations in designing user interfaces and experiences for AI applications
Developments in human-centric AI approaches that enhance usability and accessibility
Case studies demonstrating the impact of AI on user experience and interaction
Trends in the evolution of human-computer interaction in the context of AI
Future directions for improving the interface between AI systems and users
Ethics and Social Implications of AI:
Research on the ethical considerations and societal impacts of AI technologies
Innovations in developing responsible AI practices and addressing biases
Developments in policy and regulatory frameworks for AI ethics
Case studies examining the ethical implications of AI applications and their societal consequences
Trends in the discourse on AI ethics and its influence on research and development
Future directions for addressing ethical challenges and promoting positive social outcomes in AI
AI and Emerging Technologies:
Research on the integration of AI with emerging technologies such as blockchain, quantum computing, and edge computing
Innovations in hybrid technologies that combine AI with other advanced fields
Developments in exploring the potential of AI-driven technologies and their applications
Case studies showcasing the convergence of AI with emerging technologies and its impact
Trends in the advancement of hybrid technologies and their influence on AI research and applications
Future directions for exploring and developing AI in conjunction with emerging technological trends