| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Physics | 209 | 16 | 19 | 8 |
| Biology and Biochemistry | 617 | 17 | 22 | 9 |
Physics in Medicine and Biology was organized to reinforce research efforts on Optics, Nuclear medicine, Imaging phantom, Dosimetry and Monte Carlo method. Detector, Beam (structure), Photon, Radiation and Image resolution studies are all carried out as a component of the study in Optics presented. In it, Radiochemistry, Radiation therapy and Irradiation are investigated in conjunction with one another to address concerns in Nuclear medicine research.
The Radiation therapy works, particularly on Radiation treatment planning are tackled in the journal. While work presented in the journal provided substantial information on Imaging phantom, it also covered topics in Biomedical engineering, Tomography, Artificial intelligence and Computer vision. Discussions in the journal are anchored in the subject of Tomography and the similar topic of Image processing.
Iterative reconstruction, Image quality, Segmentation and Projection (set theory) are Artificial intelligence topics of special interest in Physics in Medicine and Biology. Topics in Dosimetry explored in Physics in Medicine and Biology were investigated in conjunction with research in Ionization chamber, Ionization and Calibration. The featured Monte Carlo method studies mainly concentrate on Electron but also cover areas of interest in Atomic physics.
The most cited publications mainly tackle studies in Optics, Nuclear medicine, Imaging phantom, Monte Carlo method and Tomography. The journal articles explore research in Optics alongside concepts in Dosimetry and other areas of study in Ionization chamber. While work presented in the most cited papers provide substantial information on Tomography, it also covers topics in Iterative reconstruction, Computer vision and Artificial intelligence.
Physics in Medicine and Biology aims to foster the development of research in Artificial intelligence, Imaging phantom, Optics, Detector and Pattern recognition. The studies tackled, which mainly focus on Artificial intelligence, apply to Computer vision as well. The study of Imaging phantom, which falls within the realm of Nuclear medicine, was the main focus of the presentations.
It focuses on Optics research which is adjacent to topics in Dosimetry. Research in Monte Carlo method and the interrelating topic of Computational physics and Proton were among the subjects of interest in the Detector studies discussed in the journal. While the primary focus in it is Image quality, it also dissects topics surrounding Iterative reconstruction and Algorithm as a whole.
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 Physics in Medicine and Biology (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 Physics in Medicine and Biology (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, 3.52% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.66% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.12% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.62% of all publications and 49.60% 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.
Jan Schuemann;Alexander Bagley;Ross Berbeco;Kyle Bromma
(2020)Steven R Meikle;Vesna Sossi;Emilie Roncali;Simon R Cherry
(2021)Takashi Nakano;Makoto Sakai;Kota Torikai;Yoshiyuki Suzuki
(2020)Joemini Poudel;Shuai Na;Lihong V Wang;Mark A Anastasio
(2020)Stefanos Margis;Maria Magouni;Ioanna Kyriakou;Alexandros G Georgakilas
(2020)Thomas D Lewin;Helen M Byrne;Philip K Maini;Jimmy J Caudell
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