| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 1454 | 64 | 73 | 17 |
Magnetic Resonance Materials in Physics Biology and Medicine mainly tackles studies in Nuclear magnetic resonance, Magnetic resonance imaging, Nuclear medicine, Artificial intelligence and Radiology. Nuclear magnetic resonance research featured in Magnetic Resonance Materials in Physics Biology and Medicine incorporates concerns from various other topics such as Imaging phantom, Signal, Solid-state physics and Electromagnetic coil. The concepts on Magnetic resonance imaging presented in Magnetic Resonance Materials in Physics Biology and Medicine can also apply to other research fields, including Internal medicine, Perfusion, Cardiology, Pathology and Biomedical engineering.
Some problems in Artificial intelligence that were presented in Magnetic Resonance Materials in Physics Biology and Medicine overlapped with concepts under Computer vision and Pattern recognition. The research topics discussed in it include Radiology as well as In patient.
The most cited papers focus on Nuclear magnetic resonance, Magnetic resonance imaging, Nuclear medicine, Artificial intelligence and Radiology. The studies on Nuclear magnetic resonance discussed at the published papers can also contribute to research in the domains of Metabolite, Signal and Scanner. The most cited articles explore research in Magnetic resonance imaging alongside concepts in Perfusion and other areas of study in Cerebral blood flow.
Magnetic Resonance Materials in Physics Biology and Medicine aims to foster the development of research in Nuclear medicine, Magnetic resonance imaging, Artificial intelligence, Biomedical engineering and Reproducibility. Magnetic Resonance Materials in Physics Biology and Medicine explores issues in Nuclear medicine which can be linked to other research areas like Image quality, Repeatability, Effective diffusion coefficient and Magnetic resonance angiography. The Effective diffusion coefficient research presented in it explores the relationship between Diffusion MRI and the closely related topic of White matter.
Issues in Magnetic resonance imaging were discussed, taking into consideration concepts from other disciplines like Internal medicine, Perfusion and Cardiology. While work presented in Magnetic Resonance Materials in Physics Biology and Medicine provided substantial information on Artificial intelligence, it also covered topics in Computer vision and Pattern recognition. Magnetic Resonance Materials in Physics Biology and Medicine deals with Biomedical engineering in conjunction with Imaging phantom and similar fields in Pulse sequence, Signal and Scanner.
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 Magnetic Resonance Materials in Physics Biology and Medicine (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 Magnetic Resonance Materials in Physics Biology and Medicine (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, 1.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 21.21% of all publications and 45.45% 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.
In the world of healthcare, qualifications in Nuclear Magnetic Resonance and Magnetic Resonance Imaging open up a vast array of career opportunities. These specialized skills are highly valued in many medical and research settings. The Magnetic Resonance Imaging field, for instance, is growing faster than most other healthcare professions, according to data from the U.S. Bureau of Labor Statistics. Healthcare practitioners trained in Nuclear Magnetic Resonance and Magnetic Resonance Imaging work in a range of environments, from hospitals to standalone imaging centers, and even research facilities. A career in this field could lead to roles such as radiologic technologists and technicians, MRI technologists, and even researchers or educators in the field. For those seeking a career in this rewarding and growing field, the state of Illinois offers some of the best online nursing programs. The best online nursing programs in Illinois provide a well-rounded education incorporating both theoretical knowledge and practical training in areas like Nuclear Magnetic Resonance and Magnetic Resonance Imaging. Graduating from such courses can equip individuals with the skills and knowledge needed to excel in these specialized healthcare careers.
Octavia Bane;Iosif A. Mendichovszky;Bastien Milani;Ilona A. Dekkers
(2020)Ilona A Dekkers;Anneloes de Boer;Kaniska Sharma;Eleanor F Cox
(2020)Iosif Mendichovszky;Pim Pullens;Ilona Dekkers;Fabio Nery
(2020)Jana Kemnitz;Christian F. Baumgartner;Felix Eckstein;Akshay Chaudhari
(2020)Giulia Villa;Steffen Ringgaard;Ingo Hermann;Rebecca Noble
(2020)Yoko Kato;Bharath Ambale-Venkatesh;Yoshimori Kassai;Larry Kasuboski
(2020)Wolfgang Wirth;Felix Eckstein;Jana Kemnitz;Christian Frederik Baumgartner
(2021)Jun-Ying Li;Xue-Ling Suo;Nan-Nan Li;Du Lei
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