| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 402 | 11 | 13 | 4 |
| Biology and Biochemistry | 913 | 6 | 6 | 2 |
| Engineering and Technology | 1196 | 17 | 22 | 5 |
The journal primarily focuses on research topics in Biomedical engineering, Artificial intelligence, Mechanics, Finite element method and Physical medicine and rehabilitation. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Speech recognition, Computer vision and Pattern recognition. Most of the works presented in it deals with Mechanics but it intersects with the subject of Classical mechanics.
Journal of Mechanics in Medicine and Biology features research on Finite element method in an attempt to reinforce studies in the field of Structural engineering. While work presented in it provided substantial information on Physical medicine and rehabilitation, it also covered topics in Physical therapy and Kinematics.
The published articles mainly deal with areas of study such as Mechanics, Artificial intelligence, Pattern recognition, Simulation and Biomedical engineering. The journal papers hold forums on Mechanics that merge themes from other disciplines such as Porous medium and Classical mechanics. The most cited articles facilitate discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Computer vision.
Journal of Mechanics in Medicine and Biology focuses largely on the fields of Artificial intelligence, Physical medicine and rehabilitation, Internal medicine, Cardiology and Pattern recognition. While Artificial intelligence is the focus of Journal of Mechanics in Medicine and Biology, it also provided insights into the studies of Machine learning and Computer vision. It explores issues in Physical medicine and rehabilitation which can be linked to other research areas like Test (assessment), Reliability (statistics) and Kinematics.
Most of the Pattern recognition studies addressed also intersect with Artificial neural network.
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 Mechanics in Medicine and Biology (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 Mechanics in Medicine and Biology (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, 7.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.60% were posted by at least one author from the top 10 institutions publishing in the journal. Another 22.40% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.20% of all publications and 52.80% 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.
Nur Afikah Zainal Abidin;Mohammed Rafiq Abdul Kadir;Muhammad Hanif Ramlee
(2020)M El Gendy;OA Beg;A Kadir;MN Islam
(2021)Jun Zhong;Jun Zhong;Hong Zhou;Yongfeng Liu;Xiankai Cheng
(2021)Madge Martin;Madge Martin;Thibault Lemaire;Guillaume Haïat;Peter Pivonka
(2020)Peisen Zhang;Jing Li;Yang Hao;Gastone Ciuti;Gastone Ciuti
(2020)Reza Tabe;Roohollah Rafee;Mohammad Sadegh Valipour;Goodarz Ahmadi
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