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Journal of Digital Imaging - Springer Nature | 2024 Impact Factor:4.4 | Cite Score:8.5 | Q2

Journal of Digital Imaging

Impact Factor and Journal Rank of Digital Imaging

  • About: The Journal of Digital Imaging is a peer-reviewed journal published by Springer Nature. It focuses on research and applications in the field of digital imaging, covering a wide range of topics such as image acquisition, processing, analysis, interpretation, and visualization. The journal serves as a platform for scholars, researchers, and practitioners to publish original research articles, reviews, and case studies that advance the understanding and application of digital imaging technologies.
  • Objective: The primary objective of the Journal of Digital Imaging is to promote research and innovation in digital imaging. The journal aims to explore theories, methodologies, and applications that enhance the acquisition, processing, and analysis of digital images across various domains, including medical imaging, remote sensing, multimedia, computer vision, and more. By publishing high-quality research, the journal contributes to the advancement of digital imaging techniques and their practical applications.
  • Interdisciplinary Focus: The Journal of Digital Imaging adopts an interdisciplinary approach, welcoming contributions from various fields related to digital imaging, including but not limited to, Medical Imaging, Remote Sensing, Multimedia Imaging, Computer Vision, Image Processing, Image Analysis, Visualization, Machine Learning, Artificial Intelligence. This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced digital imaging technologies that address complex imaging challenges in diverse applications.
  • Global Reach and Impact: With a broad international readership and authorship, the Journal of Digital Imaging has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in digital imaging worldwide. The journal content influences both academic research and practical applications, driving progress in areas such as medical diagnosis, environmental monitoring, surveillance, entertainment, and scientific research.
  • High Standards and Rigorous Review: Maintaining high academic standards, the Journal of Digital Imaging conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: The Journal of Digital Imaging plays a significant role in advancing research and practice in the field of digital imaging. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in digital imaging technologies and applications. It serves as an essential resource for researchers, practitioners, educators, and students interested in understanding and utilizing digital imaging techniques to address real-world challenges and opportunities

  • Editor-in-Chief:  Elizabeth Krupinski

  • Scope: The Journal of Digital Imaging, published by Springer Nature, is a reputable peer-reviewed publication dedicated to advancing research and practice in the field of digital imaging and medical imaging informatics. It provides a significant platform for researchers, clinicians, engineers, and policymakers to disseminate their latest findings, methodologies, and practical insights related to digital imaging technologies and their applications in healthcare. Here is an overview of its key focus areas and scope:
  • 1. Medical Imaging Technologies:
    Research on various medical imaging modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, nuclear medicine, and molecular imaging.
    Advancements in imaging hardware, image acquisition techniques, and imaging protocols for clinical diagnosis and medical research.
  • 2. Image Processing and Analysis:
    Exploration of digital image processing techniques, algorithms, and software tools for enhancing image quality, reducing noise, and extracting meaningful information from medical images.
    Research on computer-aided diagnosis (CAD), image segmentation, registration, feature extraction, and pattern recognition methods.
  • 3. Imaging Informatics and PACS (Picture Archiving and Communication Systems):
    Advancements in medical imaging informatics, including PACS, DICOM (Digital Imaging and Communications in Medicine) standards, and interoperability solutions.
    Research on data management, image storage, retrieval, and distribution in healthcare institutions and imaging facilities.
  • 4. Artificial Intelligence and Machine Learning in Imaging:
    Exploration of AI-based approaches, deep learning models, and machine learning algorithms for medical image analysis, interpretation, and decision support.
    Research on AI-driven imaging biomarkers, predictive modeling, and personalized medicine applications in radiology and clinical imaging.
  • 5. 3D and Multimodal Imaging:
    Advancements in 3D imaging techniques, volumetric reconstruction, and visualization methods for anatomical and functional imaging.
    Research on multimodal imaging fusion, image registration, and hybrid imaging systems for comprehensive diagnostic evaluation.
  • 6. Digital Pathology and Telemedicine:
    Exploration of digital pathology solutions, whole-slide imaging (WSI), and virtual microscopy for remote diagnosis, teleconsultation, and telepathology services.
    Research on telemedicine platforms, tele-radiology networks, and remote imaging technologies for delivering healthcare services in underserved regions.
  • 7. Imaging Workflow Optimization and Quality Assurance:
    Advancements in imaging workflow optimization, protocol standardization, and quality assurance measures to ensure accurate and reliable imaging procedures.
    Research on dose optimization, radiation safety, and quality control practices in medical imaging departments and facilities.
  • 8. Ethical and Regulatory Issues in Digital Imaging:
    Exploration of ethical considerations, patient privacy concerns, and regulatory compliance in the acquisition, storage, and sharing of medical imaging data.
    Research on data security, HIPAA (Health Insurance Portability and Accountability Act) compliance, and ethical guidelines for imaging research and practice.
  • 9. Innovations in Imaging Technology and Applications:
    Advancements in novel imaging technologies, such as photoacoustic imaging, optical coherence tomography (OCT), and functional imaging modalities.
    Research on emerging applications of digital imaging in precision medicine, theranostics, image-guided interventions, and virtual reality (VR) visualization.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  08971889

    Electronic ISSN:  1618727X

  • Abstracting and Indexing:  Scopus, SCience Citation Index EXpanded

  • Imapct Factor 2024:  4.4

  • Subject Area and Category:  Computer Science,Computer Science Applications,Health Professions,Radiological and Ultrasound Technology,Medicine,Radiology, Nuclear Medicine and Imaging

  • Publication Frequency:  

  • H Index:  82

  • Best Quartile:

    Q1:  

    Q2:  Radiological and Ultrasound Technology

    Q3:  

    Q4:  

  • Cite Score:  8.5

  • SNIP:  1.267

  • Journal Rank(SJR):  0.734