International Journal of Imaging Systems and Technology

Aims & Scope

The International Journal of Imaging Systems and Technology (IMA) is a forum for the exchange of ideas and results relevant to imaging systems, including imaging physics and informatics.

The journal covers all imaging modalities in humans and animals.

IMA accepts technically sound and scientifically rigorous research in the interdisciplinary field of imaging, including relevant algorithmic research and hardware and software development, and their applications relevant to medical research.

The journal provides a platform to publish original research in structural and functional imaging.

The journal is also open to imaging studies of the human body and on animals that describe novel diagnostic imaging and analyses methods.

Technical, theoretical, and clinical research in both normal and clinical populations is encouraged.

Submissions describing methods, software, databases, replication studies as well as negative results are also considered.

The scope of the journal includes, but is not limited to, the following in the context of biomedical research: Imaging and neuro-imaging modalities: structural MRI, functional MRI, PET, SPECT, CT, ultrasound, EEG, MEG, NIRS etc.; Neuromodulation and brain stimulation techniques such as TMS and tDCS; Software and hardware for imaging, especially related to human and animal health; Image segmentation in normal and clinical populations; Pattern analysis and classification using machine learning techniques; Computational modeling and analysis; Brain connectivity and connectomics; Systems-level characterization of brain function; Neural networks and neurorobotics; Computer vision, based on human/animal physiology; Brain-computer interface (BCI) technology; Big data, databasing and data mining.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.5
2024	3.00

Journal Rank

Year	Value
2024	10376

Journal Citation Indicator

Year	Value
2024	1819

SJR (SCImago Journal Rank)

Year	Value
2024	0.561

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	62

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering, Materials Science and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• MRtrix: Diffusion tractography in crossing fiber regions

  Citation: 1301

  Authors: J‐Donald, Fernando, Alan

• NOSER: An algorithm for solving the inverse conductivity problem

  Citation: 501

  Authors: M., D., J. C., S., J.

• Advances and challenges in super‐resolution

  Citation: 485

  Authors: Sina, Dirk, Michael, Peyman

• An iterative solution of the two‐dimensional electromagnetic inverse scattering problem

  Citation: 406

  Authors: Y. M., W. C.

• Quantitative trace element imaging using PIXE and the nuclear microprobe

  Citation: 339

  Authors: C. G.

• Supervised pattern classification based on optimum‐path forest

  Citation: 320

  Authors: J. P., A. X., C. T. N.

• Residual learning based CNN for breast cancer histopathological image classification

  Citation: 213

  Authors: Mahesh, Sweta, T.

• Threshold prediction for segmenting tumour from brain MRI scans

  Citation: 196

  Authors: M. Marsaline, Valarmathi, Swamy, B. R.

• Finger vein recognition using minutia‐based alignment and local binary pattern‐based feature extraction

  Citation: 195

  Authors: Eui Chul, Hyeon Chang, Kang Ryoung

• Independent comparative study of PCA, ICA, and LDA on the FERET data set

  Citation: 166

  Authors: Kresimir, Mislav, Sonja

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