Imaging Science - Taylor & Francis - Impact Factor

Imaging Science - Taylor & Francis | 2025 Impact Factor:1.3 | Cite Score:3.4 | SCOPUS Q2

Impact Factor and Journal Rank of Imaging Science

About: The Imaging Science Journal is a peer-reviewed publication that covers research related to all aspects of imaging science and technology. It serves as a platform for researchers, engineers, and practitioners to share advancements in imaging techniques, methodologies, and applications.
Objective:
The primary objective of the journal is to advance the field of imaging science through the dissemination of high-quality research. It aims to publish articles that contribute to the understanding, development, and application of imaging technologies across various disciplines.
Interdisciplinary Approach:
The Imaging Science Journal often adopts an interdisciplinary approach, welcoming contributions that integrate imaging techniques with fields such as medicine, biology, physics, computer science, and materials science. This approach encourages collaboration and innovation in imaging technology and its applications.
Impact:
The journal contributes to the advancement of imaging science by publishing research that enhances imaging capabilities, improves image quality, develops new imaging modalities, and explores novel applications of imaging technologies in research and industry.
Significance:
For researchers, practitioners, and professionals in imaging science and related fields, The Imaging Science Journal provides a valuable resource for accessing cutting-edge research, technological advancements, and practical applications in imaging technology. Its publications support advancements in medical imaging, remote sensing, industrial imaging, and beyond.

Journal Home: Journal Homepage

Editor-in-Chief: Professor Ricardo Vardasca

Scope: The Imaging Science Journal covers a range of topics related to imaging technologies and their applications. Here is an overview of its scope and the topics covered:
Image Acquisition and Processing:
Research on methods and techniques for acquiring and processing images. This includes studies on image sensors, digital imaging techniques, image enhancement, image restoration, image segmentation, and image registration.
Computer Vision:
Research on computer vision algorithms and applications. This includes studies on object recognition and detection, feature extraction, pattern recognition, image classification, image understanding, and applications in robotics and automation.
Medical Imaging:
Research on imaging techniques and applications in medicine. This includes studies on medical image analysis, diagnostic imaging modalities (such as MRI, CT, PET), medical image processing, image-guided therapy, and applications in healthcare and clinical practice.
Remote Sensing:
Research on remote sensing technologies and applications. This includes studies on satellite imaging, aerial photography, radar imaging, multispectral and hyperspectral imaging, geospatial analysis, environmental monitoring, and applications in agriculture, forestry, and geology.
Image and Video Compression:
Research on compression techniques for images and videos. This includes studies on lossless and lossy compression algorithms, wavelet transforms, JPEG, MPEG standards, scalable video coding, and applications in multimedia systems and internet streaming.
3D Imaging and Reconstruction:
Research on three-dimensional imaging techniques and reconstruction methods. This includes studies on 3D imaging systems (such as stereo vision, structured light, time-of-flight), 3D surface reconstruction, depth estimation, 3D modeling, and applications in virtual reality and augmented reality.
Biometric Imaging:
Research on biometric recognition technologies using imaging. This includes studies on fingerprint recognition, iris recognition, face recognition, gait analysis, behavioral biometrics, multimodal biometrics, and applications in security and authentication systems.
Image Quality Assessment:
Research on methods for assessing and evaluating image quality. This includes studies on subjective and objective image quality metrics, perceptual quality assessment, quality enhancement techniques, and applications in image and video coding standards.
Visualization and Image Interpretation:
Research on techniques for visualizing and interpreting images. This includes studies on scientific visualization, data visualization, visual analytics, image understanding, semantic image interpretation, and applications in education and scientific research.