| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 818 | 28 | 30 | 5 |
Artificial intelligence, Pattern recognition, Computer vision, Radiology and Segmentation are among the topics commonly tackled in Journal of Medical Imaging and Health Informatics. The Artificial intelligence study featured in the journal draws connections with the study of Machine learning.
The journal articles are mainly concerned with subjects like Artificial intelligence, Pattern recognition, Computer vision, Machine learning and Segmentation. The journal articles feature Artificial intelligence research that overlaps with concepts in Domain (software engineering). While Pattern recognition is the key highlight in the most cited articles, thet also covered some subjects on Speech recognition and Rehabilitation and Layer (object-oriented design).
Journal of Medical Imaging and Health Informatics investigates studies in Artificial intelligence, Radiology, Pattern recognition, Internal medicine and Segmentation. Artificial intelligence research discussed connects with the study of Computer vision. Many of the studies tackled connect Radiology with a similar field of study like Value (mathematics).
Discussions in Journal of Medical Imaging and Health Informatics are anchored in the subject of Internal medicine and the similar topic of Cardiology.
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 Journal of Medical Imaging and Health Informatics (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 Journal of Medical Imaging and Health Informatics (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, 50.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.81% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.93% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.37% of all publications and 44.90% 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.
Another important aspect to consider when delving into the world of Medical Imaging and Health Informatics is the career prospects it offers. For those who are passionate about artificial intelligence, pattern recognition, and computer vision, pursuing a career in this field can be highly rewarding. Academics and researchers who frequently write for journals such as the Journal of Medical Imaging and Health Informatics often have a robust understanding of these subjects, which can be translated into practical use in various professional roles. These include positions such as medical image analysts, healthcare IT consultants, and even roles in academia such as professors or research scientists. For example, a high school history teacher looking to transition into this field may want to consider continuing their education to bolster their understanding of these complex topics. The salary of such a role can vary depending on the level of expertise and the location. For instance, the salary of a high school history teacher in Kentucky may differ from that of a medical imaging specialist. To understand the potential income, you can read more about how much does a high school history teacher make in Kentucky. Going forward, as technology continues to evolve, the demand for experts in Medical Imaging and Health Informatics is likely to increase, making it a prospective field for those interested in both medicine and technology.
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(2021)Meisu Zhong;Yongsheng Yang;Yamin Zhou;Octavian Postolache
(2020)Siying Guo;Chao Xu;Xiao Xue;Zhiyong Feng
(2020)Ali Hussain;Miss Laiha Mat Kiah;Nor Badrul Anuar;Rafidah Md Noor
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