| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 850 | 12 | 17 | 10 |
The main points discussed in the journal deals with Artificial intelligence, Biomedical engineering, Pattern recognition, Computer vision and Physical medicine and rehabilitation. It connects research in Artificial intelligence with the related topic of Electroencephalography. The journal features Physical medicine and rehabilitation research that overlaps with concepts in Physical therapy.
The journal publications mainly deal with areas of study such as Artificial intelligence, Pattern recognition, Computer vision, Biomedical engineering and Simulation. Many of the studies tackled in the journal articles connect Artificial intelligence with a similar field of study like Machine learning. While Pattern recognition is the focus of the journal publications, it also provides insights into the studies of Speech recognition and Sensitivity (control systems).
The journal is mainly concerned with subjects like Artificial intelligence, Pattern recognition, Physical medicine and rehabilitation, Deep learning and Orthodontics. Artificial intelligence research presented in it encompasses a variety of subjects, including Computer vision and Pneumonia. The research on Pattern recognition featured in the journal combines topics in other fields like Image processing, Ecg signal, Residual and Cluster analysis.
The overlapping concepts between Electroencephalography and Audiology are the key highlights of Physical medicine and rehabilitation study. Orthodontics research in the journal involves the investigation of Fracture (geology) studies, all of which are linked to disciplines such as Stiffness. The work on Segmentation tackled in it brings together disciplines like Transfer of learning and Jaccard index.
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 and Biological Engineering (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 and Biological Engineering (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, 12.82% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 30.88% were posted by at least one author from the top 10 institutions publishing in the journal. Another 2.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.82% of all publications and 57.35% 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.
Licia Di Pietro;Davide Piaggio;Iyabosola Oronti;Alessia Maccaro
(2020)Kulchamai Thienkarochanakul;Akbar A. Javadi;Mohammad Akrami;Joseph Robert Charnley
(2020)Mehmet Aydin;Fatih Evrendilek;Seckin Aydin Savas;Ismail Erkan Aydin
(2020)Qin Shen;Hongxiang Gao;Yuwen Li;Qi Sun
(2020)Roneel V. Sharan;Shlomo Berkovsky;Hao Xiong;Enrico Coiera
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