2405-6316
Published by: Elsevier
https://www.journals.elsevier.com/physics-and-imaging-in-radiation-oncology
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 1701 | 58 | 100 | 15 |
Physics and Imaging in Radiation Oncology focuses largely on the fields of Radiation therapy, Nuclear medicine, Magnetic resonance imaging, Radiation treatment planning and Radiology. It facilitates discussions on Radiation therapy that incorporate concepts from other fields like Rectum, Medical physics, Lung cancer, Prostate cancer and Dosimetry. While Medical physics is the focus of Physics and Imaging in Radiation Oncology, it also provided insights into the studies of Radiation oncology, Organ at risk and Brachytherapy.
It dives deep in exploring the relationship between the study of Prostate cancer and Prostate. In it, Head and neck cancer, Planning target volume, Volumetric modulated arc therapy and Cone beam computed tomography are investigated in conjunction with one another to address concerns in Nuclear medicine research. It explores issues in Magnetic resonance imaging which can be linked to other research areas like Computed tomography, Image-guided radiation therapy, External beam radiotherapy and Linear particle accelerator.
While Physics and Imaging in Radiation Oncology focused on Radiation treatment planning, it was also able to explore topics like Proton therapy and Head and neck. As a part of the journal, discussions in Radiology involve topics like Effective diffusion coefficient and Locally advanced. The presented Imaging phantom research focuses mostly on Artificial intelligence and, on occasion, topics in Pattern recognition.
The most cited articles focus on Radiation treatment planning, Radiation therapy, Magnetic resonance imaging, Nuclear medicine and Radiology. The journal articles tackle studies in Treatment delivery and the interrelated subject of Reliability engineering to gain insights into Radiation treatment planning. The works on Radiation therapy tackled in the most cited articles bring together disciplines like Lung cancer, Lung and Dose calculation.
The objective of the journal is to combine knowledge in the areas of Radiation therapy, Magnetic resonance imaging, Nuclear medicine, Radiation treatment planning and Radiology. Radiation therapy research featured in it incorporates concerns from various other topics such as Rectum and Prostate cancer. Imaging phantom, Cone beam computed tomography, Artificial intelligence, Hausdorff distance and Stereotactic body radiotherapy are some topics wherein Magnetic resonance imaging research discussed in Physics and Imaging in Radiation Oncology have an impact.
The work on Nuclear medicine tackled in the journal brings together disciplines like Tomography, Voxel, Computed tomography and Volumetric modulated arc therapy. Radiation treatment planning research presented in it encompasses a variety of subjects, including Nursing, Medical physics and Dose prediction. The studies in Radiology featured incorporate elements of Segmentation, Lung cancer and Breast radiotherapy.
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 and Imaging in Radiation Oncology (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 and Imaging in Radiation Oncology (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, 7.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 36.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.00% of all publications and 23.33% 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.
It’s worth noting that the insights and accomplishments culminated through the detailed studies in Physics and Imaging in Radiation Oncology also have profound implications in the nursing field. This is particularly important as nurses often play an essential role in administering radiation therapy and ensuring patient safety during processes involving radiation treatment. For those aspiring to join the healthcare sector as nursing professionals, having a strong foundation in understanding the utilization of Physics and Imaging in Radiation Oncology can enhance their potential in improving patient outcomes. This understanding can be crucial in dealing with various cancers including but not limited to lung cancer, prostate cancer, and head and neck cancer, which are topics covered extensively in these studies. Notably, the advancements in imaging technologies such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) discussed in this field can contribute significantly to the practice of radiology nursing. These technologies allow nurses to assist in more precise diagnoses, helping doctors administer the most appropriate treatment. Moreover, the discussions surrounding artificial intelligence, pattern recognition, and radiation therapy in this field can equip nurses with the knowledge needed to navigate the rapidly evolving landscape of healthcare technology. Furthering your education in these areas could prove beneficial towards a rewarding nursing career. To continue your educational journey, becoming a part of reputed online nursing schools in best online nursing programs in New Jersey can help you master these essential principles and methodologies.
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