APPLIED ARTIFICIAL INTELLIGENCE

Scope & Guideline

Unlocking Innovations in Artificial Intelligence

Introduction

Delve into the academic richness of APPLIED 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
ISSN0883-9514
PublisherTAYLOR & FRANCIS INC
Support Open AccessYes
CountryUnited Kingdom
TypeJournal
Convergefrom 1987 to 2024
AbbreviationAPPL ARTIF INTELL / Appl. Artif. Intell.
Frequency10 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The journal 'Applied Artificial Intelligence' aims to explore and publish research that applies artificial intelligence techniques across various domains, promoting innovative solutions and methodologies. It encompasses a wide range of topics that utilize AI to address real-world problems, focusing on practical applications and interdisciplinary approaches.
  1. Artificial Intelligence Applications:
    The journal highlights the application of AI technologies in diverse fields such as healthcare, finance, education, and environmental science, showcasing how AI can solve practical problems and improve efficiency.
  2. Machine Learning and Deep Learning Techniques:
    A significant focus is placed on the development and application of machine learning and deep learning algorithms, emphasizing novel methodologies and their effectiveness in various scenarios.
  3. Data Analysis and Predictive Modeling:
    Research often involves data-driven approaches, including predictive modeling and analytics, to derive insights from complex datasets across different sectors.
  4. Interdisciplinary Research:
    The journal supports interdisciplinary studies that combine artificial intelligence with other fields such as robotics, IoT, and social sciences, fostering collaborations that yield innovative solutions.
  5. Security and Privacy in AI:
    There is an increasing emphasis on security and privacy issues related to AI applications, addressing concerns about data protection and ethical implications.
The journal is witnessing a surge in interest in several emerging themes within the realm of artificial intelligence. These trends indicate where the field is heading and highlight areas ripe for exploration and innovation.
  1. AI for Social Good:
    There is a growing trend towards applying AI for social good, including projects aimed at healthcare, education, and environmental sustainability, reflecting a commitment to leveraging technology for positive societal impact.
  2. Explainable AI (XAI):
    Research focusing on explainability and interpretability in AI models is on the rise, driven by the need for transparency in AI decisions, especially in critical applications like healthcare and finance.
  3. Federated Learning and Privacy-Preserving Techniques:
    With increasing concerns about data privacy, federated learning and related privacy-preserving techniques are gaining traction, offering innovative solutions for training models without compromising sensitive information.
  4. Automation and Industry 4.0:
    The integration of AI in automation processes, particularly within the context of Industry 4.0, is a prominent trend, emphasizing smart manufacturing and intelligent systems that enhance operational efficiency.
  5. AI in Cybersecurity:
    Research exploring the application of AI in cybersecurity is emerging, focusing on threat detection, risk assessment, and the development of robust security measures to combat cyber threats.

Declining or Waning

While 'Applied Artificial Intelligence' continues to thrive in various research areas, some themes are experiencing a decline in publication frequency. This may reflect shifts in research focus or the maturation of certain fields.
  1. Traditional AI Techniques:
    Research focusing solely on traditional AI techniques without integration of modern approaches, such as deep learning, is becoming less prevalent as the field evolves towards more sophisticated methodologies.
  2. AI in Isolated Domains:
    Studies that apply AI to isolated or less impactful domains are waning, with a shift towards applications that demonstrate broader societal or economic relevance.
  3. Theoretical AI Concepts:
    While foundational theories remain important, there is a noticeable decline in the publication of purely theoretical papers that do not propose practical applications or implementations.
  4. Narrow AI Solutions:
    Research centered on narrow AI solutions that lack generalizability or scalability is less frequently published, as the focus shifts towards more versatile and adaptable AI systems.

Similar Journals

International Journal of Data Science and Analytics

Empowering Insights Through Rigorous Research
Publisher: SPRINGERNATUREISSN: 2364-415XFrequency: 4 issues/year

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE

Connecting researchers to the forefront of technology.
Publisher: GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICMISSN: 0948-695XFrequency: 12 issues/year

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

Machine Intelligence Research

Connecting Global Minds in AI Research
Publisher: SPRINGERNATUREISSN: 2731-538XFrequency: 6 issues/year

Machine Intelligence Research is a premier academic journal published by SPRINGERNATURE, dedicated to advancing knowledge in the rapidly evolving fields of Artificial Intelligence, Applied Mathematics, and more. With its ISSN 2731-538X and E-ISSN 2731-5398, the journal is recognized for its impact, holding a distinguished position in various Q1 categories for 2023, including Computer Vision and Pattern Recognition and Control and Systems Engineering. Operating under an Open Access model, it ensures that groundbreaking research from China and around the world remains accessible to a global audience, promoting collaboration and innovation. As a beacon for researchers, professionals, and students, Machine Intelligence Research aims to disseminate high-quality research findings, innovative methodologies, and influential theories, thereby shaping the future landscapes of science and technology.

International Journal of Modeling Simulation and Scientific Computing

Transforming Data into Insightful Simulations
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 1793-9623Frequency: 6 issues/year

The International Journal of Modeling Simulation and Scientific Computing, published by WORLD SCIENTIFIC PUBL CO PTE LTD, is a pivotal resource in the realms of Computer Science Applications and Modeling and Simulation. With an ISSN of 1793-9623 and an E-ISSN of 1793-9615, this journal serves as a platform for innovative and high-quality research from 2010 to 2024, contributing to the advancement of methodologies and applications in various scientific fields. Although currently categorized in the Q4 quartile for both recognized domains and positioned in the 42nd and 36th percentiles in the Scopus rankings for Mathematics and Computer Science respectively, the journal encourages scholarly exchange and fosters the integration of modeling and computational analysis in scientific research. Researchers, professionals, and students alike will find this journal an essential tool to stay updated with trends, methodologies, and cutting-edge findings in simulation and computational techniques that drive scientific inquiry today.

Big Data and Cognitive Computing

Elevating Understanding of Big Data Applications.
Publisher: MDPIISSN: Frequency: 4 issues/year

Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.

Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence

Connecting Minds Through Open Access Scholarship.
Publisher: ASOC ESPANOLA INTELIGENCIA ARTIFICIALISSN: 1137-3601Frequency: 2 issues/year

Inteligencia Artificial-Iberoamerican Journal of Artificial Intelligence, published by the ASOC ESPANOLA INTELIGENCIA ARTIFICIAL, serves as a pivotal platform for disseminating cutting-edge research in the burgeoning fields of artificial intelligence and software development. Established in 1997 as an Open Access journal, it ensures broad accessibility to its scholarly content, thus fostering collaboration and knowledge exchange amongst researchers, professionals, and students across the globe. Based in Valencia, Spain, the journal currently operates within a significant timeline spanning from 2004 to 2010 and 2012 to 2024, enabling continual contributions to the academic discourse. Although it holds a Q4 quartile ranking in both the Artificial Intelligence and Software categories and a notable yet competitive Scopus ranking among its peers, the journal remains committed to advancing the understanding and application of sophisticated AI methodologies. As it continues to embrace innovative research, this journal stands as a crucial reference point for those keenly navigating the complexities of artificial intelligence in a rapidly evolving digital landscape.

PROCEEDINGS OF THE IEEE

Showcasing Breakthroughs that Shape Tomorrow's Technologies
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCISSN: 0018-9219Frequency: 12 issues/year

PROCEEDINGS OF THE IEEE, published by the IEEE-Institute of Electrical and Electronics Engineers Inc, stands as a premier journal within the fields of Computer Science and Electrical and Electronic Engineering. Since its inception in 1963, it has provided a platform for cutting-edge research and developments, showcasing innovative studies and breakthrough technologies that influence academia and industry alike. With an impressive Q1 ranking in both fields according to the latest quartiles, this journal ranks among the top in its categories, holding a prestigious spot in the Scopus metrics—ranking 1st in General Computer Science and 4th in Electrical and Electronic Engineering. Researchers, professionals, and students benefit from its comprehensive scope that includes a wide range of topics from algorithms and computing systems to circuit design and network technologies. Additionally, though not available as an open-access publication, its significant impact factor signifies its role in advancing scholarly dialogue and innovation in these fast-evolving fields. With contributions from leading experts and a commitment to high-quality research, the PROCEEDINGS OF THE IEEE continues to be an essential resource for anyone invested in technological progress and scientific inquiry.

CAAI Transactions on Intelligence Technology

Unlocking Insights in Computer Vision and Networks
Publisher: WILEYISSN: 2468-6557Frequency: 4 issues/year

CAAI Transactions on Intelligence Technology is a premier peer-reviewed journal published by WILEY, dedicated to advancing the fields of Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Human-Computer Interaction, and Information Systems. Since its inception in 2017, this Open Access journal has rapidly ascended the ranks, achieving Q1 quartile status across multiple categories as of 2023, and is recognized for its rigorous standards and innovative research dissemination, evidenced by impressive Scopus rankings, including Rank #12 in Computer Vision and Pattern Recognition. Through its commitment to providing a platform for high-quality research, the journal invites contributions from scholars globally, fostering a collaborative environment that stimulates intellectual exchange and encourages advancements in intelligent technology. Addressed to researchers, professionals, and students alike, CAAI Transactions on Intelligence Technology serves as a vital resource for those aiming to stay at the forefront of technological innovation.

APPLIED INTELLIGENCE

Pioneering practical solutions through applied AI research.
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!

ACM Transactions on Sensor Networks

Advancing the Frontiers of Sensor Network Research
Publisher: ASSOC COMPUTING MACHINERYISSN: 1550-4859Frequency: 4 issues/year

ACM Transactions on Sensor Networks is a premier journal dedicated to the advancement of knowledge and technology in the field of sensor networks. Published by the Association for Computing Machinery, this prestigious journal boasts a notable Q1 ranking in Computer Networks and Communications, highlighting its significant contribution to ongoing research and development, based on the latest Scopus metrics which place it in the 69th percentile. Since its inception in 2005, it has served as a critical platform for researchers, professionals, and students to explore innovative approaches and share groundbreaking findings in the ever-evolving landscape of sensor network technologies. The journal is committed to high-quality, peer-reviewed publications that pave the way for future advancements in the field. While it does not offer open access, the vast readership through institutional subscriptions ensures that vital research reaches an audience of experts eager to apply these insights in real-world applications. Covering a diverse range of topics from network design to energy optimization, ACM Transactions on Sensor Networks remains an essential resource for those pursuing excellence in this dynamic discipline.