| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Medicine | 1923 | 62 | 56 | 13 |
The journal investigates areas of study like Radiology, Magnetic resonance imaging, Nuclear medicine, Artificial intelligence and Internal medicine. The journal features Radiology research that overlaps with concepts in Retrospective cohort study. The studies on Magnetic resonance imaging discussed can also contribute to research in the domains of Differential diagnosis, Prospective cohort study and Pathology.
The Positron emission tomography studies presented in the journal fall under the field of Nuclear medicine, but it also has connections to other fields such as In patient. PET-CT is a key component of Positron emission tomography research discussed in BMC Medical Imaging. BMC Medical Imaging addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Computer vision and Pattern recognition.
In the journal, Gastroenterology and Cardiology are investigated in conjunction with one another to address concerns in Internal medicine research.
The journal papers primarily tackle Radiology, Pathology, Artificial intelligence, Nuclear medicine and Magnetic resonance imaging. The most cited papers facilitate discussions on Artificial intelligence that incorporate concepts from other fields like Software, Computer vision and Pattern recognition. While Magnetic resonance imaging is the focus of the most cited articles, it also provides insights into the studies of Ejection fraction, Cardiology, Voxel, Prostate cancer and Receiver operating characteristic.
The journal facilitates discussions on Radiology, Nuclear medicine, Magnetic resonance imaging, Artificial intelligence and Receiver operating characteristic. Nodule (medicine) is part of Radiology studies tackled in BMC Medical Imaging. The journal holds forums on Nuclear medicine that merges themes from other disciplines such as Image quality, Ultrasound and Hounsfield scale.
Some problems in Magnetic resonance imaging that were presented in it overlapped with concepts under Differential diagnosis, Univariate analysis, Coronal plane and Histopathology. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Machine learning and Pattern recognition. The journal explores issues in Receiver operating characteristic which can be linked to other research areas like Cancer and Area under the curve.
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 BMC Medical Imaging (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 BMC Medical Imaging (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, 6.49% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.61% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.72% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.81% of all publications and 54.86% 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.
The field of medical imaging is an interplay of various disciplines, involving intricate analysis and visualization techniques. To excel in this research field, gaining a comprehensive and strategic understanding is crucial. Today, several prestigious universities and colleges offer exceptional programs to develop a strong foundation in medical imaging, radiology, and related disciplines. For instance, the best online nursing programs in Pennsylvania offer courses on medical imaging as an important aspect of the curriculum. These programs enable students to grasp the different imaging modalities and its relevance in today's clinical scenario. However, it is essential for aspiring students and researchers to choose a program that suits their career goals and academic interests. Making an informed choice in selecting the right educational program can lay the groundwork for a successful future in medical imaging. Those interested in medical imaging should consider comprehensive programs that cover topics including radiology, artificial intelligence in image processing, nuclear medicine, and more. As the field continues to develop at a rapid pace, keeping updated with the latest research and trends is essential for professionals in this domain. To this end, journals like BMC Medical Imaging not only offer insights into the current research landscape, but also provide direction for the future educational courses, ensuring that the upcoming programs are in alignment with the evolving demands and needs of the field.
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(2022)Yucheng Zhang;Yucheng Zhang;Edrise M. Lobo-Mueller;Paul Karanicolas;Steven Gallinger
(2020)Styliani Mantziari;Anastasia Pomoni;John O. Prior;Michael Winiker
(2020)Gerhard-Paul Diller;Julius Vahle;Robert Radke;Maria Luisa Benesch Vidal
(2020)Dandan Song;Sohaib Shujaat;Karla de Faria Vasconcelos;Yan Huang;Yan Huang
(2021)Akram Al-Ibraheem;Nader Hirmas;Stefano Fanti;Diana Paez
(2021)Thomas Atta-Fosu;Michael LaBarbera;Soumya Ghose;Paul Schoenhagen
(2021)Emma M. Davidson;Michael T. C. Poon;Arlene Casey;Andreas Grivas
(2021)Timo Alexander Auer;Thula Walter-Rittel;Dominik Geisel;Wenzel Schöning
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