Zeitschrift für Medizinische Physik

Journal of Medical Physics

Zeitschrift für Medizinische Physik - ISSN 0939-3889
Source Normalized Impact per Paper (SNIP): 0.792 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.605 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 2 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 1.784 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volume 30
Issues: 4 issues
ISSN: 09393889
Editor-in-Chief: Schad

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Zeitschrift fur Medizinische Physik (Journal of Medical Physics) is an official organ of the German and Austrian Society of Medical Physic and the Swiss Society of Radiobiology and Medical Physics. The Journal is a platform for basic research and practical applications of physical procedures in medical diagnostics and therapy. The articles are reviewed following international standards of peer reviewing.
Focuses of the articles are:

  • Biophysical methods in radiation therapy and nuclear medicine
  • Dosimetry and radiation protection
  • Radiological diagnostics and quality assurance
  • Modern imaging techniques, such as computed tomography, magnetic resonance imaging, positron emission tomography
  • Ultrasonography diagnostics, application of laser and UV rays
  • Electronic processing of biosignals
  • Artificial intelligence and machine learning in medical physics
In the Journal, the latest scientific insights find their expression in the form of original articles, reviews, technical communications, and information for the clinical practice.