| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 827 | 18 | 30 | 10 |
| Medicine | 1511 | 125 | 224 | 16 |
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.
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.
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:
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:
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Thomas Flohr;Martin Petersilka;Andre Henning;Stefan Ulzheimer
(2020)Yabo Fu;Yang Lei;Tonghe Wang;Walter J. Curran
(2021)Tonghe Wang;Yang Lei;Yabo Fu;Walter J. Curran
(2020)Suleman Surti;Joel S. Karp
(2020)Alberto Traverso;Alberto Traverso;Michal Kazmierski;Ivan Zhovannik;Mattea Welch
(2020)Ana M. Barragán-Montero;Melissa Thomas;Gilles Defraene;Steven Michiels
(2021)Bernhard Schmidt;Thomas Flohr
(2020)Lise Wei;Dawn Owen;Benjamin Rosen;Xinzhou Guo
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