ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE

Scope & Guideline

Charting New Territories in Mathematical and AI Research

Introduction

Explore the comprehensive scope of ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 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 ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1012-2443
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1990 to 2024
AbbreviationANN MATH ARTIF INTEL / Ann. Math. Artif. Intell.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

Aims and Scopes

The journal "ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE" focuses on the intersection of mathematical theory and artificial intelligence, promoting research that advances the methodologies and applications in both fields. It aims to bridge theoretical concepts with practical implementations, fostering innovation in algorithm design, optimization, and machine learning.
  1. Mathematical Foundations of AI:
    The journal emphasizes rigorous mathematical frameworks that underpin artificial intelligence algorithms, including logic, probability, and optimization techniques.
  2. Algorithm Development and Optimization:
    It showcases research on novel algorithms and optimization strategies for various applications, including machine learning, data mining, and decision-making processes.
  3. Interdisciplinary Applications:
    The journal encourages submissions that demonstrate the application of AI techniques in diverse fields such as robotics, healthcare, and social systems, highlighting the practical relevance of mathematical theories.
  4. Theoretical Insights into AI Mechanisms:
    Research contributing to the theoretical understanding of AI mechanisms, including learning algorithms, decision processes, and cognitive modeling, is a core focus.
  5. Data-Driven Decision-Making:
    The journal promotes studies that integrate mathematical models with data analytics to enhance decision-making capabilities in complex systems.
The journal has seen a rise in interest towards emerging themes that reflect the evolving landscape of mathematics and artificial intelligence. These trends highlight new areas of exploration and innovation.
  1. Machine Learning Enhancements:
    There is a significant increase in research focused on enhancing machine learning algorithms, particularly in areas like deep learning, reinforcement learning, and novel architectures.
  2. AI in Robotics and Automation:
    The integration of AI in robotics has gained momentum, with a focus on safe and robust robot behavior, as well as the development of intelligent systems capable of real-time decision-making.
  3. Interdisciplinary Research:
    Emerging themes reflect a growing trend towards interdisciplinary research, combining insights from various fields such as biology, economics, and social sciences with mathematical AI applications.
  4. Quantum Computing and AI:
    Recent papers indicate an increasing interest in the intersection of quantum computing and AI, exploring how quantum algorithms can enhance traditional machine learning techniques.
  5. Complex Systems and Multi-Agent Systems:
    Research on complex systems and multi-agent systems is trending, with a focus on collaborative behaviors, negotiation strategies, and dynamic interactions among agents.

Declining or Waning

While the journal continues to thrive in many areas, certain themes have shown a decline in focus over recent years. These waning scopes indicate a shift in research priorities within the mathematical and AI communities.
  1. Traditional Logic Programming:
    Research in traditional logic programming has decreased, potentially overshadowed by advancements in machine learning and neural networks that offer more dynamic approaches to problem-solving.
  2. Basic Statistical Methods:
    The emphasis on foundational statistical methods appears to be waning as researchers increasingly adopt more complex and computationally intensive techniques that align with modern AI applications.
  3. Classic Optimization Techniques:
    While optimization remains a crucial aspect of AI, there is a noticeable decline in papers focusing on classic optimization methods, as newer, more innovative techniques gain traction.
  4. Single-Domain Applications:
    Research that focuses solely on single-domain applications without interdisciplinary integration has become less common, as the trend shifts towards more complex, multi-domain approaches.
  5. Static Models of Decision Making:
    The focus on static models for decision-making processes is declining, with a growing preference for dynamic models that better capture the complexities of real-world scenarios.

Similar Journals

APPLIED INTELLIGENCE

Shaping the landscape of applied intelligence for tomorrow.
Publisher: SPRINGERISSN: 0924-669XFrequency: 12 issues/year

Applied Intelligence is a prominent peer-reviewed journal that has been instrumental in advancing the field of Artificial Intelligence since its inception in 1991. Published by Springer, a reputable name in academic publishing, the journal focuses on the innovative applications of intelligent systems, algorithms, and methodologies across various disciplines. With an impressive Q2 ranking in the Artificial Intelligence category for 2023, and a Scopus rank of #117 out of 350 in its field, Applied Intelligence is recognized for its significant contributions and rigorous standards. The journal is accessed primarily through subscription, ensuring that high-quality research reaches the academic community and industry professionals alike. Its commitment to disseminating cutting-edge research makes it an invaluable resource for researchers, practitioners, and students interested in the practical implications of AI advancements. Join a community dedicated to exploring the transformative power of artificial intelligence and stay ahead in this ever-evolving field!

JOURNAL OF COMPUTER AND SYSTEM SCIENCES

Elevating research standards in computer and system sciences.
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 0022-0000Frequency: 8 issues/year

The Journal of Computer and System Sciences is a distinguished publication founded in 1967 and continually striving to push the boundaries of knowledge in computer science and applied mathematics. Published by Academic Press Inc, Elsevier Science, this journal boasts impressive credentials, holding a Q1 quartile ranking across multiple categories including Applied Mathematics, Computational Theory and Mathematics, Computer Networks and Communications, and Theoretical Computer Science as of 2023. With a focus on innovative research and comprehensive theoretical developments, this journal serves as a pivotal forum for authors and readers alike, facilitating cutting-edge contributions to the field. The journal is not currently open access, providing a curated selection of high-quality articles for its subscription residents. By engaging with this journal, researchers, professionals, and students can gain insight into the latest trends, prominent methodologies, and significant findings that shape the modern landscape of computing and systems analysis.

International Journal of Mathematics and Computer Science

Navigating the Complexities of Mathematics and Computing
Publisher: LEBANESE UNIVISSN: 1814-0424Frequency: 2 issues/year

The International Journal of Mathematics and Computer Science (ISSN: 1814-0424, E-ISSN: 1814-0432), published by Lebanese University, serves as a vital platform for disseminating innovative research and advancements in the fields of mathematics and computer science. With a compelling range of topics including Algebra, Applied Mathematics, Computational Mathematics, and Statistical Analysis, this journal caters to a broad audience of researchers, professionals, and students. Spanning the years from 2017 to 2025, it has established a presence in several key quartiles, including Q3 rankings in Applied Mathematics and Computational Mathematics, and a Q4 ranking in Algebra and Number Theory. While currently not an open-access journal, it provides valuable insights through its rigorous peer-reviewed process, enhancing its relevance in both theoretical and applied domains. Furthermore, its presence in Scopus rankings reflects its commitment to quality, making it an essential resource for anyone looking to explore the intersection of mathematics and computer science.

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES

Empowering innovation through mathematical excellence.
Publisher: TARU PUBLICATIONSISSN: 0252-2667Frequency: 8 issues/year

JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, published by TARU PUBLICATIONS, is a vital platform for researchers and practitioners in the field of information science and optimization techniques. With a focus on the application of mathematical and computational methods to solve complex problems in various domains, this journal aims to advance knowledge and encourage innovative thinking. The journal's ISSN is 0252-2667 and the E-ISSN is 2169-0103. Although currently not Open Access, it strives to provide high-quality research that significantly contributes to the industry. With a commitment to rigor and excellence, the JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES is essential for anyone dedicated to enhancing their understanding and application of optimization methodologies in an ever-evolving technological landscape.

Eurasian Journal of Mathematical and Computer Applications

Connecting Theory and Practice in Mathematics and Computer Applications.
Publisher: L N GUMILYOV EURASIAN NATL UNIVISSN: 2306-6172Frequency: 4 issues/year

Eurasian Journal of Mathematical and Computer Applications, published by the prestigious L N GUMILYOV EURASIAN NATIONAL UNIVERSITY in Kazakhstan, stands as a vital platform for researchers and professionals engaging in the fields of Applied Mathematics, Computational Mathematics, Computer Science Applications, Information Systems, Mathematical Physics, and Modeling and Simulation. With its ISSN 2306-6172 and E-ISSN 2308-9822, this academic journal aims to foster innovative research and facilitate knowledge transfer in these interdisciplinary domains. The journal, which converges its endeavors from 2013 to 2024, is currently ranked Q3 across its various categories in 2023, reflecting its growing influence and commitment to academic excellence. Despite its open access availability, the journal's dedication to quality research is evident as it attracts contributions that not only advance theoretical understanding but also address practical applications. With a supportive community of researchers in an increasingly important field, the Eurasian Journal of Mathematical and Computer Applications is poised to remain a significant resource for those seeking to propel the boundaries of mathematical and computational sciences.

IEEE Computational Intelligence Magazine

Innovating the Future of Artificial Intelligence Research
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.

MACHINE LEARNING

Bridging Theory and Application in Machine Learning
Publisher: SPRINGERISSN: 0885-6125Frequency: 9 issues/year

MACHINE LEARNING is a premier academic journal published by SPRINGER, dedicated to advancing the field of artificial intelligence and software engineering. Established in 1986, this journal has consistently showcased pioneering research and innovative methodologies that facilitate the understanding and application of machine learning techniques across various domains. With an impressive impact factor reflecting its high-quality publications, it is classified within the top quartile (Q1) in both Artificial Intelligence and Software categories as of 2023, underscoring its critical role in these fields. The journal boasts significant Scopus rankings, placing it at the 45th and 54th positions, respectively, in Computer Science - Software and Computer Science - Artificial Intelligence, further validating its stature as a vital resource for researchers, professionals, and students alike. While not an open-access journal, MACHINE LEARNING ensures that its comprehensive peer-reviewed articles are widely circulated, fostering academic dialogue and innovation. The journal continues to be a go-to platform for cutting-edge research, providing invaluable insights and contributions that drive the future of machine learning.

Information Technology and Control

Driving excellence in information technology and systems.
Publisher: KAUNAS UNIV TECHNOLOGYISSN: 1392-124XFrequency: 2 issues/year

Information Technology and Control, published by Kaunas University of Technology, is a prominent open access journal dedicated to the fields of computer science, control and systems engineering, and electrical and electronic engineering. With an ISSN of 1392-124X and a notable reputation, the journal has continuously contributed to the dissemination of innovative research since its establishment in 2008. As of 2023, it ranks in the Q3 quartile for Computer Science Applications and in the Q2 quartile for both Control and Systems Engineering and Electrical and Electronic Engineering, reflecting its growing influence in these disciplines. The journal provides a platform for the latest developments in technologies driving the industry forward and encourages an interdisciplinary approach to problem-solving. With open-access solutions implemented in 2020, it ensures that research findings are readily accessible to a global audience, supporting knowledge transfer and collaboration among researchers, professionals, and students alike. This inaugural introduction underscores the journal's commitment to fostering innovation and excellence in the rapidly evolving landscape of information technology and control.

NEURAL COMPUTING & APPLICATIONS

Pioneering Research for Tomorrow's Technologies
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.

International Journal on Artificial Intelligence Tools

Navigating AI Frontiers: Insights for Researchers and Practitioners
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0218-2130Frequency: 6 issues/year

International Journal on Artificial Intelligence Tools is a pivotal platform for disseminating innovative research in the field of artificial intelligence, published by World Scientific Publishing Co. PTE LTD. Established in 2005 and running through to 2024, this journal maintains a focus on evolving AI methodologies and applications that drive technological advancement. Though currently ranked in the fourth quartile of artificial intelligence journals and holding a Scopus rank of #256 among 350 in the Computer Science category, it offers a unique avenue for researchers, professionals, and students aiming to foster their understanding and engagement with AI tools. With its dedicated publication timeline, the journal encourages submissions exploring both theoretical underpinnings and practical implementations of AI technologies. While it does not subscribe to an open-access model, the journal ensures high-quality peer-reviewed content, making it an essential resource for those seeking to contribute to and learn from the evolving field of artificial intelligence.