AI

Scope & Guideline

Transforming Research into Real-World AI Applications

Introduction

Explore the comprehensive scope of AI through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore AI in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN-
PublisherMDPI
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationAI-BASEL / AI
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND

Aims and Scopes

The journal "AI" aims to advance the field of artificial intelligence through interdisciplinary research that spans a multitude of applications, methodologies, and theoretical frameworks. It serves as a platform for disseminating innovative ideas and findings that push the boundaries of AI technologies and their practical implementations.
  1. Machine Learning and Deep Learning Techniques:
    The journal emphasizes the application of machine learning (ML) and deep learning (DL) methodologies across various domains, including healthcare, finance, and environmental science, showcasing advancements in algorithm development and model optimization.
  2. Computer Vision and Image Processing:
    A core focus area involves the use of AI for computer vision tasks, such as image classification, object detection, and image enhancement, highlighting novel approaches that leverage neural networks and other AI-driven techniques.
  3. Natural Language Processing (NLP):
    Research on NLP is prevalent, encompassing topics such as text summarization, sentiment analysis, and chatbots, with a commitment to improving understanding and interaction between humans and machines.
  4. Ethics and Societal Implications of AI:
    The journal addresses the ethical considerations surrounding AI technologies, including algorithmic bias, transparency, and the impact of AI on society, fostering discussions on responsible AI development.
  5. Robotics and Human-AI Collaboration:
    Robotic applications of AI are explored, with studies focusing on human-robot interaction, autonomous systems, and collaborative AI, emphasizing the integration of AI in real-world scenarios.
  6. Interdisciplinary Applications of AI:
    The journal promotes research that applies AI techniques across diverse fields such as agriculture, healthcare, environmental science, and smart cities, illustrating the versatility and adaptability of AI technologies.
The journal "AI" has observed a rise in research themes that reflect current technological advancements and societal needs. These emerging scopes indicate where the field is heading and highlight areas of growing importance.
  1. Generative AI and Its Applications:
    There is a significant increase in research related to generative AI, particularly in creative fields such as art therapy, content generation, and synthetic data creation, reflecting the technology's potential for innovation.
  2. AI in Healthcare:
    The integration of AI into healthcare continues to trend upward, with studies focusing on diagnostic tools, patient monitoring systems, and personalized medicine, driven by the urgent need for efficient healthcare solutions.
  3. AI Ethics and Governance:
    Research on ethical considerations and governance frameworks for AI systems is gaining traction, highlighting the importance of responsible AI practices and public trust in AI technologies.
  4. AI for Environmental Sustainability:
    Emerging studies are increasingly addressing how AI can contribute to environmental sustainability, including applications in agriculture, climate modeling, and resource management, underscoring the role of AI in tackling global challenges.
  5. Human-AI Collaboration:
    Research exploring effective collaboration between humans and AI systems is on the rise, focusing on enhancing user experience and decision-making processes across various sectors.

Declining or Waning

While the journal "AI" continues to explore a broad range of topics, certain themes have shown a decline in frequency and prominence. This shift may indicate changing research priorities or saturation in specific areas.
  1. Traditional Statistical Methods in AI:
    There has been a noticeable decrease in papers focusing on traditional statistical approaches to AI problems, as researchers increasingly favor machine learning and deep learning methods that offer more robust performance in complex tasks.
  2. Rule-Based Expert Systems:
    Interest in rule-based expert systems appears to be waning, with fewer publications addressing this topic as more sophisticated AI techniques, such as neural networks, become the focus of research.
  3. Basic AI Algorithms without Novel Applications:
    Papers that discuss fundamental AI algorithms without innovative applications or enhancements are becoming less common, as the field shifts towards more application-driven research and integration with emerging technologies.

Similar Journals

IEEE INTELLIGENT SYSTEMS

Advancing Knowledge in Intelligent Systems
Publisher: IEEE COMPUTER SOCISSN: 1541-1672Frequency: 6 issues/year

IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING

Exploring New Frontiers in Computational Theory.
Publisher: INST INFORMATION SCIENCEISSN: 1016-2364Frequency: 6 issues/year

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.

Journal of King Saud University-Computer and Information Sciences

Driving Progress in the Digital Age
Publisher: ELSEVIERISSN: 1319-1578Frequency: 10 issues/year

Journal of King Saud University-Computer and Information Sciences, published by ELSEVIER, is a prestigious open-access journal focusing on the rapidly evolving fields of computer science and information technology. Since its inception in 1996, this journal has provided a platform for high-quality research and innovative ideas, promoting the dissemination of knowledge to a global audience. With a remarkable impact factor and ranked Q1 in the Computer Science (miscellaneous) category as of 2023, it stands among the top 11% of journals in its field, reflecting its commitment to excellence and relevance. The journal proudly carries the ISSN 1319-1578 and E-ISSN 2213-1248, and it is based in Saudi Arabia while being part of a global academic network. With a Scopus rank of #26 out of 232 in general computer science, the Journal of King Saud University-Computer and Information Sciences is an essential resource for researchers, professionals, and students seeking to stay at the forefront of technological advancement. As it continues to thrive through 2024, it invites contributions that will shape the future of computing and information sciences.

IEEE Open Journal of the Computer Society

Advancing the Frontiers of Computer Science
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: Frequency: 1 issue/year

IEEE Open Journal of the Computer Society is an esteemed open-access journal dedicated to advancing the field of computer science. Published by IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC since 2020, this journal promotes innovative research and scholarly communication in a rapidly evolving technological landscape. With a notable Q1 ranking in the Computer Science (miscellaneous) category and a high Scopus percentile of 92, it serves as a premier platform for disseminating cutting-edge findings and interdisciplinary studies. The journal is committed to facilitating unrestricted access to valuable insights, fostering collaboration among researchers, professionals, and students alike. As it continues to publish impactful articles through 2024 and beyond, the IEEE Open Journal of the Computer Society remains a vital resource for anyone interested in the latest trends and developments in computer science.

International Journal on Document Analysis and Recognition

Elevating Standards in Document Recognition Research
Publisher: SPRINGER HEIDELBERGISSN: 1433-2833Frequency: 4 issues/year

International Journal on Document Analysis and Recognition (IJDAR), published by Springer Heidelberg, stands at the forefront of research and advancements in the field of document analysis, computer vision, and pattern recognition. With its ISSN 1433-2833 and E-ISSN 1433-2825, the journal is an essential resource for researchers and practitioners focusing on innovations in automatic document processing, image analysis, and artificial intelligence applications in document retrieval and recognition. Recognized as a Q1 journal in multiple relevant categories, including Computer Science Applications, Computer Vision and Pattern Recognition, and Software, IJDAR boasts impressive Scopus rankings that position it among the top-tier publications in these domains. The journal’s converged publication years from 1998 to 2024 offer a rich repository of knowledge essential for both theoretical and practical advancements, ensuring that researchers, professionals, and students can keep pace with the latest findings and methodologies. Access options may vary, but the journal continuously strives to facilitate the dissemination of high-quality research that contributes significantly to the academic discourse in document analysis and recognition.

NEUROCOMPUTING

Bridging Neuroscience and Artificial Intelligence
Publisher: ELSEVIERISSN: 0925-2312Frequency: 18 issues/year

NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

Natural Language Engineering

Advancing the Frontiers of Language and Technology
Publisher: CAMBRIDGE UNIV PRESSISSN: 1351-3249Frequency: 6 issues/year

Natural Language Engineering is a premier journal published by Cambridge University Press, dedicated to advancing the field of artificial intelligence and its intersection with linguistics and software. Since its inaugural publication in 1995, the journal has established itself as a vital platform for innovative research and development in natural language processing (NLP) and engineering. With a notable impact factor reflecting its influential contributions, it ranks in the top tiers across various categories, including Q1 in Linguistics and Language and Q3 in Artificial Intelligence. Researchers and practitioners alike benefit from the opportunity to access insightful articles that address both theoretical aspects and practical applications of NLP technologies. Although it operates under a traditional subscription model, the rigorous peer-review process ensures high-quality publications that foster academic discourse and collaboration within the community. This journal is essential for anyone interested in the evolving landscape of language engineering, making it a cornerstone reference for upcoming scholars and seasoned professionals aiming to push the boundaries of knowledge in this dynamic field.

SIGNAL PROCESSING-IMAGE COMMUNICATION

Exploring the Synergy of Vision and Communication
Publisher: ELSEVIERISSN: 0923-5965Frequency: 10 issues/year

SIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.

International Journal of Intelligent Information Technologies

Unlocking the Potential of Intelligent Systems and Analytics.
Publisher: IGI GLOBALISSN: 1548-3657Frequency: 4 issues/year

Founded in 2005, the International Journal of Intelligent Information Technologies serves as a pivotal platform for the dissemination of cutting-edge research in the fields of decision sciences and information systems. Published by IGI Global, this journal is dedicated to advancing the understanding of intelligent systems, data analytics, and technological innovations that drive modern decision-making processes. With an ISSN of 1548-3657 and an E-ISSN of 1548-3665, the journal is indexed strategically to ensure visibility among academia and industry professionals. Although it currently holds a ranking in the Q4 quartile of both decision sciences and information systems categories in 2023, it stands out for its comprehensive investigations into best practices and emerging trends in intelligent information technologies. It aims to provide readers with rigorous, peer-reviewed articles that offer practical insights and theoretical frameworks to facilitate informed decision-making in an increasingly data-driven world. Its commitment to quality research makes it an invaluable resource for researchers, professionals, and students alike who are eager to explore new dimensions of technology-assisted decision-making.

Automatika

Advancing Knowledge in Computer Science and Control Engineering
Publisher: TAYLOR & FRANCIS LTDISSN: 0005-1144Frequency: 4 issues/year

Automatika is a renowned academic journal dedicated to the fields of Computer Science and Control and Systems Engineering, published by TAYLOR & FRANCIS LTD. Since its establishment, this journal has embraced an Open Access model, enabling researchers worldwide to disseminate and access high-quality research freely since 2001. With an ISSN of 0005-1144 and an E-ISSN of 1848-3380, Automatika plays a pivotal role in fostering innovation and disseminating knowledge in its domain. The journal is recognized for its contributions to expanding the understanding of complex systems and computational methodologies, proudly holding a Q2 ranking in Computer Science and a Q3 ranking in Control and Systems Engineering according to the latest category quartiles. Its influence is exemplified through a Scopus ranking of #83/232 in General Computer Science and #127/321 in Control and Systems Engineering, placing it well within the top percentiles of its field. The journal is based in the United Kingdom and continues to converge towards its goal of advancing the frontiers of research from 2009 to 2024, making it an essential resource for researchers, professionals, and students aiming to stay at the cutting edge of technological advancements.