INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Scope & Guideline

Unveiling Patterns, Empowering Intelligence

Introduction

Immerse yourself in the scholarly insights of INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0218-0014
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Support Open AccessNo
CountrySingapore
TypeJournal
Convergefrom 1995 to 2024
AbbreviationINT J PATTERN RECOGN / Int. J. Pattern Recognit. Artif. Intell.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE

Aims and Scopes

The INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE focuses on the advancement of pattern recognition and artificial intelligence methodologies, emphasizing their applications across various domains. The journal aims to present high-quality research that contributes to the theory, development, and practical applications of these fields.
  1. Pattern Recognition Techniques:
    The journal publishes research on various pattern recognition techniques, including machine learning, deep learning, and computer vision methods applied to diverse data types such as images, videos, and signals.
  2. Artificial Intelligence Applications:
    It explores applications of AI in real-world problems, including healthcare, transportation, security, and environmental monitoring, highlighting innovative solutions and methodologies.
  3. Interdisciplinary Research:
    The journal encourages interdisciplinary approaches that combine computer science with other fields, such as biology, medicine, and social sciences, to address complex challenges.
  4. Algorithm Development and Optimization:
    Research focused on the development and optimization of algorithms for improved performance in recognition tasks, including enhancements to existing algorithms and novel algorithmic solutions.
  5. Data Fusion and Multimodal Learning:
    The publication includes studies on data fusion techniques and multimodal learning that integrate data from multiple sources to enhance recognition accuracy and robustness.
The journal is actively embracing new and trending themes within pattern recognition and artificial intelligence, reflecting the latest advancements in technology and research interests. These emerging scopes indicate a shift towards more complex, integrated, and application-driven research.
  1. Deep Learning Innovations:
    There is a significant increase in papers focusing on deep learning innovations, including new architectures, optimization techniques, and applications in various domains such as healthcare, security, and autonomous systems.
  2. Explainable AI and Interpretability:
    Research on explainable AI is gaining traction, with a focus on making AI models more interpretable and transparent, addressing concerns about the black-box nature of deep learning algorithms.
  3. Real-Time Processing and Edge Computing:
    The journal is witnessing a rise in studies dedicated to real-time processing techniques and the application of edge computing for pattern recognition tasks, facilitating immediate analysis and decision-making.
  4. Generative Models and Adversarial Learning:
    Emerging themes include the use of generative models and adversarial learning approaches, particularly in image synthesis, data augmentation, and anomaly detection.
  5. Integration of AI with IoT and Smart Systems:
    There is a growing focus on the integration of AI with the Internet of Things (IoT), emphasizing smart systems and applications that leverage AI for enhanced functionality and efficiency.

Declining or Waning

While the journal maintains a dynamic focus on emerging trends, certain themes appear to be declining in prominence within its recent publications. These waning scopes reflect shifts in research priorities and technological advancements.
  1. Traditional Machine Learning Methods:
    There is a noticeable decline in research centered around traditional machine learning methods, as the field increasingly shifts towards deep learning and more complex AI models that offer better performance on large datasets.
  2. Basic Image Processing Techniques:
    Research papers that focus solely on basic image processing techniques are becoming less frequent, as the field evolves towards more sophisticated methods that incorporate AI and machine learning for enhanced outcomes.
  3. Theoretical Studies with Limited Practical Application:
    The journal is seeing fewer theoretical studies that do not demonstrate practical applications or real-world relevance, as the emphasis on applicable research that addresses current challenges grows.
  4. Conventional Feature Extraction Methods:
    There is a reduction in studies focused on conventional feature extraction methods, with a trend towards integrated and learned feature representations through deep learning architectures.
  5. Single-Modal Analysis:
    The focus on single-modal analysis, particularly in image or text processing without considering multimodal approaches, appears to be waning as researchers recognize the value of integrating diverse data types.

Similar Journals

MACHINE VISION AND APPLICATIONS

Advancing the Frontiers of Machine Vision Innovation.
Publisher: SPRINGERISSN: 0932-8092Frequency: 1 issue/year

MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.

IMAGE AND VISION COMPUTING

Pioneering research at the intersection of vision and computation.
Publisher: ELSEVIERISSN: 0262-8856Frequency: 12 issues/year

Image and Vision Computing, published by Elsevier, serves as a leading international journal focused on the dynamic fields of computer vision, pattern recognition, and signal processing. With its esteemed Q1 category rankings in these areas and an impressive standing in Scopus metrics, where it ranks 19th in Computer Vision and 23rd in Signal Processing, this journal has firmly positioned itself at the forefront of academic research and innovation. Established in 1983, it continues to publish cutting-edge research that drives advancements in technology and applications across various domains. The journal is committed to disseminating high-quality, peer-reviewed articles that address significant challenges and propose novel solutions, making it an essential resource for researchers, practitioners, and students alike. While not an open access journal, Image and Vision Computing offers a wealth of valuable insights into the ever-evolving landscape of visual computing technologies.

Applied Computational Intelligence and Soft Computing

Bridging Theory and Practice in Computational Research
Publisher: HINDAWI LTDISSN: 1687-9724Frequency: 1 issue/year

Applied Computational Intelligence and Soft Computing, published by HINDAWI LTD, is a premier open access journal that has been disseminating critical research since 2009, focusing on the intersection of artificial intelligence and soft computing. With an impressive array of quartile rankings in 2023, including Q2 in Civil and Structural Engineering and Computational Mechanics, this journal has established itself as a significant contributor to the fields of computer science and engineering. Based in Egypt, it plays a vital role in advancing knowledge by providing researchers, professionals, and students with easy access to high-quality studies. The journal’s rigorous peer-review process ensures that only the most impactful research is highlighted, making it an essential resource for those looking to stay abreast of the latest innovations and methodological advancements in applied computational intelligence. Its Scopus rankings further affirm its influence and reputation within the academic community, exemplifying its commitment to facilitating collaboration and fostering intellectual discourse in various scientific domains.

Cognitive Computation and Systems

Innovating Cognitive Insights Through Computational Brilliance.
Publisher: WILEYISSN: Frequency: 4 issues/year

Cognitive Computation and Systems is an innovative open-access journal published by Wiley, dedicated to advancing the fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. Based in the United Kingdom, this journal has established itself as a key resource for researchers, students, and professionals alike since its inception in 2019. With a focus on the convergence of cognitive theories and computational methodologies, Cognitive Computation and Systems aims to publish high-quality research that bridges holistic cognitive processing with algorithmic design. Although the journal is currently categorized in the lower quartiles of its fields, it provides a unique platform for disseminating pioneering ideas that can drive the vital intersection of computer vision, pattern recognition, and psychology. Scholars can take advantage of its open-access model, ensuring that research findings are freely available, thus promoting wider knowledge sharing and collaboration within these rapidly evolving domains. With its ambitious scope and commitment to quality, this journal is poised to make a significant impact in its respective fields.

Open Computer Science

Advancing the frontiers of computer science research.
Publisher: DE GRUYTER POLAND SP Z O OISSN: 2299-1093Frequency: 1 issue/year

Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

Computational Visual Media

Championing open access to visual media advancements.
Publisher: TSINGHUA UNIV PRESSISSN: 2096-0433Frequency: 4 issues/year

Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.

Evolutionary Intelligence

Fostering Innovation Through Interdisciplinary Collaboration
Publisher: SPRINGER HEIDELBERGISSN: 1864-5909Frequency: 4 issues/year

Evolutionary Intelligence is a prestigious journal published by Springer Heidelberg, dedicated to the interdisciplinary study of Artificial Intelligence, Cognitive Neuroscience, Computer Vision, and Mathematics. With its ISSN 1864-5909 and E-ISSN 1864-5917, the journal has established a significant presence in the academic community since its inception in 2008. Spanning a diverse range of topics relevant to both theoretical and empirical research, it has achieved impressive rankings, including Q3 in Artificial Intelligence and Cognitive Neuroscience, and Q2 in Computer Vision and Pattern Recognition as of 2023. With a strong Scopus ranking that places it in the top quartiles of its field, Evolutionary Intelligence serves as an essential platform for scholars and practitioners seeking to advance knowledge and foster innovation in these dynamic fields. Researchers, professionals, and students alike will find invaluable insights and cutting-edge findings that challenge existing paradigms and inspire future explorations in intelligence-related studies.

IMAGING SCIENCE JOURNAL

Exploring New Dimensions in Visual Technology
Publisher: TAYLOR & FRANCIS LTDISSN: 1368-2199Frequency: 8 issues/year

Imaging Science Journal, published by Taylor & Francis Ltd, serves as a vital resource for researchers and professionals in the fields of computer vision, pattern recognition, and media technology. With an ISSN of 1368-2199 and an E-ISSN of 1743-131X, this journal has been fostering scholarly dialogue since its inception in 1997, with a converged content offering extending through 2024. Its categorization in Quartile 4 in Computer Vision and Pattern Recognition and Quartile 3 in Media Technology highlights its relevance and contributions to emerging trends in these domains. Although it ranks 36th in the Engineering - Media Technology category and 96th in Computer Science - Computer Vision and Pattern Recognition, its innovative research and insights continue to attract the attention of scholars dedicated to advancing knowledge at the intersection of imaging technologies. Offering versatile access options, this journal is essential for students, researchers, and professionals aiming to stay informed and engaged in the rapidly evolving landscape of imaging science.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE

Fostering collaboration in the realm of computer science.
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.

Cognitive Computation

Elevating Academic Discourse in Cognitive and Computational Research
Publisher: SPRINGERISSN: 1866-9956Frequency: 4 issues/year

Cognitive Computation is a prominent journal published by Springer, focusing on interdisciplinary research at the intersection of cognitive sciences and computational methods. With an ISSN of 1866-9956 and an E-ISSN of 1866-9964, this journal has established itself as a leading resource for novel advancements and methodologies from 2009 through 2024. It is categorized in the top quartile (Q1) for 2023 in influential fields such as Cognitive Neuroscience, Computer Science Applications, and Computer Vision and Pattern Recognition. With impressive Scopus rankings including a 14th position in Cognitive Neuroscience and a percentile rank of 88th, the journal serves as a crucial platform for researchers and professionals eager to explore the cognitive processes underlying computational techniques. Although it does not operate under an open access model, the richness of research published within its pages contributes significantly to the academic discourse in these rapidly evolving domains, making it an essential read for scholars and practitioners alike.