| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 697 | 31 | 49 | 12 |
| Medicine | 1510 | 127 | 144 | 16 |
The journal tackles a plethora of topics, such as Radiology, Magnetic resonance imaging, Nuclear medicine, Internal medicine and Pathology. Computed tomography and Ultrasound are Radiology topics of special interest in Quantitative imaging in medicine and surgery. Most of the Magnetic resonance imaging studies addressed also intersect with Biomedical engineering.
The Nuclear medicine works featured in Quantitative imaging in medicine and surgery incorporate elements from Image quality and Receiver operating characteristic. The concepts on Internal medicine presented in Quantitative imaging in medicine and surgery can also apply to other research fields, including Gastroenterology and Cardiology.
The most cited articles mainly deal with areas of study such as Radiology, Pathology, Magnetic resonance imaging, Bioinformatics and Nuclear medicine. The most cited publications address concerns in Radiology which are intertwined with other disciplines, such as Lung cancer, Disease and Osteoporosis. The most cited publications facilitate discussions on Magnetic resonance imaging that incorporate concepts from other fields like Nuclear magnetic resonance and Radiography.
The main research concerns discussed in Quantitative imaging in medicine and surgery are Nuclear medicine, Internal medicine, Radiology, Magnetic resonance imaging and Artificial intelligence. It holds forums on Nuclear medicine that merges themes from other disciplines such as Image quality, Computed tomography and Receiver operating characteristic. Research on Image quality addressed in Quantitative imaging in medicine and surgery frequently intersections with the field of Iterative reconstruction.
It explores issues in Internal medicine which can be linked to other research areas like Gastroenterology and Cardiology. The majority of Magnetic resonance imaging studies presented zero in on Effective diffusion coefficient. It focuses on Artificial intelligence but the discussions also offer insight into other areas such as Computer vision and Pattern recognition.
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 Quantitative imaging in medicine and surgery (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 Quantitative imaging in medicine and surgery (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, 29.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 27.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 16.39% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.61% of all publications and 37.50% 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.
Tristan T. Hormel;David Huang;Yali Jia
(2020)Runze Li;Zhaodong Du;Xuejun Qian;Yan Li
(2020)Terrence C H Hui;Hau Wei Khoo;Barnaby E Young;Salahudeen Mohamed Haja Mohideen
(2020)Yongshuai Ge;Ting Su;Jiongtao Zhu;Xiaolei Deng
(2020)Hui Lin;Haonan Xiao;Lei Dong;Kevin Boon-Keng Teo
(2021)Yining Dai;Chen Xin;Qinqin Zhang;Zhongdi Chu
(2020)Kathryn S Stok;Andrew J Burghardt;Stephanie Boutroy;Michiel P H Peters;Michiel P H Peters
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