JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE

Scope & Guideline

Unveiling Insights into AI's Evolving Landscape

Introduction

Delve into the academic richness of JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0952-813x
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1989 to 2024
AbbreviationJ EXP THEOR ARTIF IN / J. Exp. Theor. Artif. Intell.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The Journal of Experimental & Theoretical Artificial Intelligence focuses on advancing the field of artificial intelligence through both experimental and theoretical frameworks. It encompasses a wide range of methodologies and applications, aiming to bridge the gap between theoretical concepts and practical implementations in various domains.
  1. Artificial Intelligence Applications:
    The journal publishes research on the application of AI techniques in diverse fields such as healthcare, agriculture, finance, and robotics, demonstrating the versatility and impact of AI technologies.
  2. Machine Learning and Deep Learning:
    A significant focus is on machine learning and deep learning methodologies, exploring novel algorithms, architectures, and optimization techniques to enhance performance in classification, prediction, and decision-making tasks.
  3. Optimization Algorithms:
    Research on optimization techniques, including metaheuristic and hybrid approaches, is prominent, with applications in resource management, scheduling, and system efficiency.
  4. Data Analysis and Processing:
    The journal includes studies on data mining, feature selection, and data preprocessing, emphasizing the importance of effective data handling in AI applications.
  5. Theoretical Foundations of AI:
    Theoretical explorations into the foundations of AI, including decision-making models, cognitive frameworks, and algorithmic complexity, are also central to the journal's scope.
  6. Interdisciplinary Research:
    The journal encourages interdisciplinary studies that integrate AI with other scientific domains, fostering innovative solutions to complex real-world problems.
The Journal of Experimental & Theoretical Artificial Intelligence has observed several emerging themes that highlight the current trends and future directions in the field of artificial intelligence. These themes reflect the growing complexity and interdisciplinary nature of AI research.
  1. Explainable AI (XAI):
    A significant trend is the increasing focus on explainability and interpretability of AI models, ensuring that AI systems are transparent and their decisions can be understood by users, which is critical for ethical AI deployment.
  2. Federated Learning and Privacy-Preserving AI:
    Research on federated learning and privacy-preserving techniques is on the rise, addressing the need for collaborative learning while ensuring data privacy and security, especially in sensitive applications like healthcare.
  3. Integration of AI and IoT:
    The convergence of AI with Internet of Things (IoT) technologies is a prominent theme, with studies exploring how AI can enhance IoT systems through intelligent data processing and automation.
  4. AI for Social Good:
    Emerging research is increasingly focusing on the application of AI for social good, tackling global challenges such as climate change, healthcare access, and education, reflecting a commitment to ethical and impactful AI development.
  5. Neurosymbolic AI:
    There is a growing interest in neurosymbolic AI, which combines neural networks with symbolic reasoning, aiming to create systems that leverage the strengths of both paradigms for improved reasoning and understanding.

Declining or Waning

As the field of artificial intelligence evolves, certain themes within the Journal of Experimental & Theoretical Artificial Intelligence have seen a decline in publication frequency. This shift reflects changes in research priorities and technological advancements.
  1. Traditional Rule-Based Systems:
    Research focusing on traditional rule-based AI systems has decreased, likely due to the rise of data-driven approaches such as machine learning and deep learning, which offer more robust and adaptable solutions.
  2. Basic Statistical Methods:
    Studies employing basic statistical techniques without integration into advanced AI models are becoming less prominent as researchers seek to leverage more sophisticated methodologies to enhance predictive accuracy.
  3. Single-Domain Applications:
    There is a noticeable decline in studies focused solely on single-domain applications, as interdisciplinary approaches that combine multiple domains are gaining traction for their broader applicability and impact.
  4. Static Data Analysis:
    Research centered on static data analysis methods is waning, replaced by a focus on dynamic and real-time data processing techniques that are more relevant in today's fast-paced technological landscape.

Similar Journals

Acta Universitatis Sapientiae Informatica

Fostering Knowledge in Informatics and Beyond
Publisher: SCIENDOISSN: 1844-6086Frequency: 2 issues/year

Acta Universitatis Sapientiae Informatica, published by SCIENDO, is an esteemed open-access journal in the field of computer science and informatics. Since its transition to open access in 2013, the journal has fostered an inclusive academic environment that allows researchers, professionals, and students to freely access cutting-edge research and innovations. With its ISSN 1844-6086 and E-ISSN 2066-7760, Acta Universitatis Sapientiae Informatica aims to disseminate high-quality scholarly articles that cover a broad scope of topics ranging from theoretical foundations to practical applications in informatics. Located in Warsaw, Poland, the journal serves as an essential platform for advancing the discourse in computer science, thus playing a critical role in both regional and international research communities.

Vietnam Journal of Computer Science

Connecting scholars and professionals in the realm of computer science.
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 2196-8888Frequency: 4 issues/year

Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.

IEEE Computational Intelligence Magazine

Unveiling Insights in Machine Learning and Data Mining
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: 1556-603XFrequency: 4 issues/year

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY

Advancing technology through innovative research.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 0952-8091Frequency: 8 issues/year

International Journal of Computer Applications in Technology is a reputable academic journal published by InderScience Enterprises Ltd, dedicated to advancing the field of computer applications across various domains including Computer Networks and Communications, Computer Science Applications, and more. With an ISSN of 0952-8091 and an E-ISSN of 1741-5047, this journal has been a credible source of research since its inception in 1976, transitioning into its current form in 1988. With its consistent rank in the Q3 quartile for several key engineering and computer science categories in 2023, it highlights the significance of the journal and its contributions to ongoing discourse in these fields. Researchers benefit from its wide-ranging scope, which encompasses both theoretical and practical applications of technology, making it an invaluable resource for both industry professionals and academic scholars. Although it currently does not provide open access, the journal remains committed to disseminating high-quality research that is essential for technological advancement and innovation.

PeerJ Computer Science

Pioneering Open Access for Tomorrow's Innovators
Publisher: PEERJ INCISSN: Frequency: 1 issue/year

PeerJ Computer Science is a leading open access journal published by PEERJ INC, dedicated to the field of computer science. Since its inception in 2015, it has made significant strides in promoting scholarly communication and accessibility to cutting-edge research. With an impressive impact factor reflected by a Q1 ranking in the Computer Science (miscellaneous) category and a Scopus rank of 51 out of 232, this journal stands at the forefront of its field. The journal's open access model ensures that groundbreaking findings are readily available to researchers, professionals, and students alike, fostering collaboration and innovation in the ever-evolving landscape of computer science. As it continues to publish until 2024 and beyond, PeerJ Computer Science remains an essential resource for those seeking to stay ahead in their research and practice.

International Journal of Software Science and Computational Intelligence-IJSSCI

Empowering Researchers in the Realm of Software Science
Publisher: IGI GLOBALISSN: 1942-9045Frequency: 4 issues/year

International Journal of Software Science and Computational Intelligence (IJSSCI) is a prominent academic journal published by IGI Global, dedicated to advancing the fields of software science and computational intelligence. With its ISSN 1942-9045 and E-ISSN 1942-9037, IJSSCI offers a platform for researchers, practitioners, and students to disseminate innovative research findings, theoretical advancements, and practical applications in areas such as algorithm development, machine learning, and software engineering. Although the journal currently does not operate under an open access model, its rigorous peer-review process ensures high-quality publications that contribute significantly to the academic discourse. Based in Hershey, PA, IJSSCI is recognized for its commitment to fostering collaboration among professionals in the technology and computer science fields, making it an essential resource for those looking to stay at the forefront of software science advancements.

NEURAL COMPUTING & APPLICATIONS

Driving Insights in Artificial Intelligence Applications
Publisher: SPRINGER LONDON LTDISSN: 0941-0643Frequency: 12 issues/year

NEURAL COMPUTING & APPLICATIONS is a premier journal dedicated to the burgeoning fields of Artificial Intelligence and Software Engineering, published by Springer London Ltd. Established in 1993, the journal serves as a pivotal platform for disseminating cutting-edge research and innovative applications in neural computing, covering a broad range of topics from algorithm development to real-world applications. With its impressive categorization in the 2023 Journal Quartiles—ranging Q2 in Artificial Intelligence and Q1 in Software—it stands out in its discipline, ranking 42nd out of 407 in Computer Science Software and 50th out of 350 in Computer Science Artificial Intelligence, reflecting its significant impact in the academic community. Although not an open access journal, it provides vital access to significant findings and methodologies that drive advancements in technology. Researchers, professionals, and students looking to stay abreast of the most relevant and impactful developments in these fields will find NEURAL COMPUTING & APPLICATIONS an indispensable resource.

Machine Learning and Knowledge Extraction

Connecting Minds to Foster Knowledge in Machine Learning
Publisher: MDPIISSN: Frequency: 4 issues/year

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

PROGRAMMING AND COMPUTER SOFTWARE

Connecting Researchers and Practitioners in Software Development
Publisher: PLEIADES PUBLISHING INCISSN: 0361-7688Frequency: 6 issues/year

PROGRAMMING AND COMPUTER SOFTWARE is a distinguished journal committed to advancing the field of software development and programming methodologies. Published by PLEIADES PUBLISHING INC, this journal has been a valuable resource since its inception in 1978, reaching out to researchers, professionals, and students alike. With an emphasis on rigorous peer-reviewed articles, the journal holds a Q3 ranking in the realm of Software according to the latest 2023 Category Quartiles. Though it does not offer open access, the journal ensures that high-quality research is disseminated to its audience, providing insights into evolving programming techniques, software engineering challenges, and innovative solutions. With its convergence of years extending to 2024, PROGRAMMING AND COMPUTER SOFTWARE remains a pivotal publication, fostering a deeper understanding of the complexities in computer programming while supporting the broader software community.

NEW GENERATION COMPUTING

Exploring the Future of Technology and Networks
Publisher: SPRINGERISSN: 0288-3635Frequency: 4 issues/year

NEW GENERATION COMPUTING is a prominent academic journal published by SPRINGER, specializing in the dynamic fields of Computer Networks, Hardware and Architecture, Software Engineering, and Theoretical Computer Science. With a commitment to disseminating high-quality research since its inception in 1983 and extending its coverage to 2024, this journal occupies a vital role in advancing knowledge and innovation within these critical domains. Holding prestigious Q2 rankings in Computer Networks and Communications, Hardware and Architecture, and Software, as well as a Q3 ranking in Theoretical Computer Science for 2023, NEW GENERATION COMPUTING attracts significant contributions from scholars and professionals around the globe. Researchers will find its rigorous peer-review process ensures the publication of impactful studies, while students gain access to cutting-edge research that shapes contemporary computing practices. Though it does not offer open access, the journal remains an invaluable resource in the academic community, fostering collaboration and dialogue among experts aiming to push the boundaries of technology.