International Journal of Applied Pattern Recognition

Scope & Guideline

Illuminating the intricacies of data through rigorous analysis.

Introduction

Explore the comprehensive scope of International Journal of Applied Pattern Recognition 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 International Journal of Applied Pattern Recognition in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2049-887x
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationINT J APPL PATTERN R / Int. J. Appl. Pattern Recognit.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Applied Pattern Recognition focuses on the development and application of pattern recognition techniques across various domains. The journal emphasizes methodologies that integrate machine learning, neural networks, and image processing to address real-world problems.
  1. Application of Machine Learning Techniques:
    The journal frequently publishes research that utilizes machine learning algorithms, particularly in the fields of healthcare, automotive safety, and character recognition, showcasing the versatility of these methods in practical applications.
  2. Image Processing and Analysis:
    A significant portion of the journal's content revolves around image processing techniques, including contour analysis and feature extraction, which are essential for tasks such as facial recognition and medical imaging.
  3. Health Informatics and Diagnostics:
    There is a strong emphasis on the application of pattern recognition in healthcare, especially in early diagnosis and disease management, indicating a core area of research that merges technology with medical science.
  4. Character Recognition and Verification:
    The journal also explores advancements in character recognition technologies, both for handwritten and typewritten text, which is crucial for digital document processing and automated systems.
  5. Survey and Review Articles:
    The inclusion of comprehensive surveys and literature reviews highlights the journal's commitment to synthesizing existing knowledge in the field, aiding researchers and practitioners in identifying trends and gaps.
Recent publications in the International Journal of Applied Pattern Recognition reveal emerging themes and trends that reflect the evolving landscape of pattern recognition and its applications. These trends are crucial for guiding future research directions.
  1. Deep Learning for Medical Applications:
    There is an increasing trend towards the application of deep learning methodologies in medical diagnostics, particularly in analyzing MRI scans and ECG signals, highlighting the importance of AI in health management.
  2. Automated Systems for Real-Time Analysis:
    Emerging research on real-time applications, such as detecting phone usage while driving, indicates a growing interest in integrating pattern recognition with automated systems for enhancing safety and efficiency.
  3. Interdisciplinary Approaches:
    Research that crosses traditional boundaries, such as the application of pattern recognition in diverse fields like insurance fraud detection, suggests a trend towards interdisciplinary studies that leverage pattern recognition in various sectors.
  4. Advanced Feature Extraction Techniques:
    There is a notable rise in the exploration of innovative feature extraction methods, as evidenced by surveys on writer identification, which underscores the need for more sophisticated techniques in pattern recognition.
  5. Emotion and Sentiment Analysis:
    The trend towards using pattern recognition for emotion classification indicates a growing interest in understanding human emotions through technology, which has significant implications for fields such as marketing and user experience.

Declining or Waning

While the journal maintains a robust focus on several core areas, certain themes have shown a decline in prominence over recent publications. This may reflect shifts in research priorities or emerging technologies.
  1. Traditional Pattern Recognition Techniques:
    Research focusing on conventional pattern recognition methods appears to be waning, as the field increasingly shifts towards more advanced machine learning and deep learning approaches.
  2. Basic Image Processing without Advanced Algorithms:
    There is a noticeable decline in studies that rely solely on basic image processing techniques without the integration of sophisticated algorithms, suggesting a movement towards more complex methodologies.
  3. General Surveys without Specific Applications:
    While surveys are still published, there seems to be less focus on general surveys that do not target specific applications, indicating a trend towards more applied and targeted research.

Similar Journals

International Journal of Image and Graphics

Advancing the Frontiers of Visual Innovation
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-4678Frequency: 4 issues/year

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.

MACHINE VISION AND APPLICATIONS

Connecting Theory and Practice in Machine Vision.
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.

Computational Visual Media

Exploring the future of AI and design.
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.

International Arab Journal of Information Technology

Fostering Innovation Across Arab Tech Landscapes
Publisher: ZARKA PRIVATE UNIVISSN: 1683-3198Frequency: 6 issues/year

Welcome to the International Arab Journal of Information Technology, a prestigious publication under the aegis of ZARKA PRIVATE UNIVERSITY in Jordan, dedicated to advancing the field of Information Technology. First established in 2008, this journal has made significant strides in disseminating high-quality research, achieving an impressive Q2 ranking in Computer Science (miscellaneous) and securing a notable 57th percentile position in the Scopus rankings. With a comprehensive scope encompassing various sub-disciplines of computer science, the journal is committed to promoting scholarly dialogue and innovation among researchers, professionals, and students. While currently operating as a subscription-only journal, it remains a vital resource for the academic community seeking to explore the latest trends and advancements in technology. The International Arab Journal of Information Technology is not only a platform for original research but also a vibrant hub for ideas that shape the technological landscape of the Arab region and beyond.

VISUAL COMPUTER

Pioneering Innovations in Graphics and Vision
Publisher: SPRINGERISSN: 0178-2789Frequency: 12 issues/year

VISUAL COMPUTER is a prestigious journal published by Springer, focusing on the dynamic fields of computer graphics, computer-aided design, computer vision, and software. Established in 1985, this interdisciplinary journal serves as a vital platform for sharing innovative research, applications, and developments crucial to the advancement of visual computing technologies. With a notable Q2 ranking in various categories, including Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition, VISUAL COMPUTER demonstrates a solid impact within the academic community, marked by its Scopus rankings that reflect its significant contributions to the field. While the journal does not offer open access, it remains a reliable source of high-quality content for researchers, professionals, and students eager to stay abreast of emerging trends and techniques, ultimately fostering collaboration and knowledge exchange within the rapidly evolving landscape of visual computing.

NEUROCOMPUTING

Innovating at the Convergence of Neuroscience and Technology
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.

IMAGING SCIENCE JOURNAL

Innovating Insights in Computer Vision and Media
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.

International Journal of Neural Systems

Exploring the Frontiers of Neural Systems Research
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0129-0657Frequency: 10 issues/year

The International Journal of Neural Systems, published by World Scientific Publishing Co Pte Ltd, is a prestigious peer-reviewed journal dedicated to the dynamic field of neural systems research. With an ISSN of 0129-0657 and an E-ISSN of 1793-6462, this journal serves as a vital resource for researchers, professionals, and students interested in the intersections of computer science, neural networks, and communications. Noteworthy for its impact, the journal has achieved impressive rankings in 2023, positioned in the Q1 quartile for both Computer Networks and Communications as well as in the miscellaneous category of Medicine, highlighting its interdisciplinary significance and broad relevance. The journal's Scopus rank places it at #33 out of 395 in its category, reflecting its influence and reach within the academic community. While the journal is not open access, its contributions to advancing the understanding of neural systems are invaluable, offering a platform for disseminating cutting-edge research and fostering collaboration among scholars. Since its inception, the International Journal of Neural Systems remains committed to excellence and innovation in its published content, making it an essential subscription for everyone involved in this exciting and rapidly evolving field.

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Bridging theory and practice in the realm of data science.
Publisher: WILEY PERIODICALS, INCISSN: 1942-4787Frequency: 6 issues/year

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a premier journal published by WILEY PERIODICALS, INC, dedicated to the rapidly evolving fields of data mining and knowledge discovery. Since its inception in 2011, this journal has emerged as a vital resource for researchers and practitioners alike, boasting an impressive Q1 ranking in the field of Computer Science (miscellaneous) as of 2023, and is recognized for achieving a remarkable 98th percentile in Scopus rankings. The journal aims to disseminate high-quality, interdisciplinary research that addresses the theoretical and practical implications of data mining techniques, innovative algorithms, and knowledge discovery paradigms. With a commitment to fostering knowledge exchange among academia and industry, Wiley Interdisciplinary Reviews is essential for those looking to remain at the forefront of data science advancements. Researchers and professionals will find relevant discussions, cutting-edge methodologies, and comprehensive reviews that contribute significantly to the field's development.

CAAI Transactions on Intelligence Technology

Catalyzing Collaboration in Intelligent Technology Research
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.