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Physica Medica
H-index 24

Physica Medica

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 827 18 30 10
Medicine 1511 125 224 16

Additional Metrics

Number of Best Scientists*: 334
Documents by Best Scientists*: 517
Top 100 Ranked Scientists*: 11
SCIMAGO H-index: 71
SCIMAGO SJR: 0.771
Impact Factor: 2.7

Overview

Top Research Topics at Physica Medica?

The journal mostly deals with topics like Nuclear medicine, Imaging phantom, Medical physics, Dosimetry and Radiation therapy. Some problems in Nuclear medicine that were presented in the journal overlapped with concepts under Radiation treatment planning, Planning target volume, Radiology and Dose distribution. The research on Imaging phantom featured in it combines topics in other fields like Image quality, Detector, Scanner, Monte Carlo method and Biomedical engineering.

Image quality is a subtopic of Artificial intelligence and Computer vision, which is among the main concerns addressed in it. Physica Medica addresses concerns in Monte Carlo method which are intertwined with other disciplines, such as Beam (structure) and Computational physics. Physica Medica investigates Medical physics research which frequently intersects with Quality assurance.

The journal holds forums on Dosimetry that merges themes from other disciplines such as Ionization chamber and Optics. Linear particle accelerator is part of Optics studies tackled in Physica Medica.

  • Nuclear medicine (30.78%)
  • Imaging phantom (18.48%)
  • Medical physics (15.41%)

What are the most cited papers published in the journal?

  • Iterative reconstruction methods in X-ray CT (504 citations)
  • Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit (250 citations)
  • Radiochromic film dosimetry: Past, present, and future (220 citations)

Research areas of the most cited articles at Physica Medica:

The published articles cover a variety of subjects, including Nuclear medicine, Radiation therapy, Optics, Biomedical engineering and Dosimetry. The published articles address concerns in the field of Nuclear medicine by exploring it in line with topics in Radiation treatment planning which intersect with Radiosurgery subjects. The journal articles focus on Dosimetry but sometimes tackle the closely related topic of Quality assurance which is concerned with Software.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in Physica Medica (based on the number of publications) are:

  • John Damilakis (58 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • Claudio Fiorino (54 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Giovanni Mettivier (49 papers) published 3 papers at the last edition the same number as at the previous edition,
  • Alberto Torresin (44 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Lidia Strigari (44 papers) published 2 papers at the last edition, 1 more than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in Physica Medica (based on the number of publications) are:

  • University of Milan (117 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • National and Kapodistrian University of Athens (115 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • French Institute of Health and Medical Research (99 papers) published 3 papers at the last edition,
  • University of Crete (81 papers) published 5 papers at the last edition, 1 more than at the previous edition,
  • Istituto Nazionale di Fisica Nucleare (78 papers) published 2 papers at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 23.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 10.77% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.23% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.31% of all publications and 57.69% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Photon-counting CT review

    Thomas Flohr;Martin Petersilka;Andre Henning;Stefan Ulzheimer

    (2020)
    346 Citations
  • A review of deep learning based methods for medical image multi-organ segmentation.

    Yabo Fu;Yang Lei;Tonghe Wang;Walter J. Curran

    (2021)
    246 Citations
  • Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods.

    Tonghe Wang;Yang Lei;Yabo Fu;Walter J. Curran

    (2020)
    75 Citations
  • Update on latest advances in time-of-flight PET

    Suleman Surti;Joel S. Karp

    (2020)
    63 Citations
  • Machine learning helps identifying volume-confounding effects in radiomics.

    Alberto Traverso;Alberto Traverso;Michal Kazmierski;Ivan Zhovannik;Mattea Welch

    (2020)
    52 Citations
  • Deep learning dose prediction for IMRT of esophageal cancer: The effect of data quality and quantity on model performance.

    Ana M. Barragán-Montero;Melissa Thomas;Gilles Defraene;Steven Michiels

    (2021)
    48 Citations
  • Principles and applications of dual source CT.

    Bernhard Schmidt;Thomas Flohr

    (2020)
    47 Citations
  • A deep survival interpretable radiomics model of hepatocellular carcinoma patients.

    Lise Wei;Dawn Owen;Benjamin Rosen;Xinzhou Guo

    (2021)
    37 Citations

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