| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 684 | 52 | 75 | 12 |
| Computer Science | 759 | 23 | 22 | 6 |
Computer Methods in Biomechanics and Biomedical Engineering is mainly concerned with subjects like Finite element method, Biomedical engineering, Structural engineering, Anatomy and Physical medicine and rehabilitation. It addresses concerns in Finite element method which are intertwined with other disciplines, such as Biomechanics, Stress (mechanics), Composite material, Orthodontics and Mechanics. While it focused on Physical medicine and rehabilitation, it was also able to explore topics like Physical therapy and Kinematics.
The journal publications focus largely on the fields of Finite element method, Biomedical engineering, Mechanics, Structural engineering and Anatomy. The featured Finite element method studies in the most cited publications mainly concentrate on Biomechanics but also cover areas of interest in Simulation and Kinematics. The works on Biomedical engineering tackled in the journal articles bring together disciplines like Stent and Bone remodeling.
The journal generally zeroes in on subjects such as Finite element method, Orthodontics, Physical medicine and rehabilitation, Biomedical engineering and Artificial intelligence. Finite element method research presented in the journal encompasses a variety of subjects, including Stress (mechanics), Mechanics and Biomechanics. While work presented in the journal provided substantial information on Orthodontics, it also covered topics in Stress distribution and Reduction (orthopedic surgery).
The studies in Physical medicine and rehabilitation featured incorporate elements of Rehabilitation and Athletes. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Machine learning and Pattern recognition.
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 Computer Methods in Biomechanics and Biomedical 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 Computer Methods in Biomechanics and Biomedical 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, 4.95% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 2.84% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.27% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.80% of all publications and 80.09% 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.
Giulia Luraghi;Jose Felix Rodriguez Matas;Marta Beretta;Nicole Chiozzi
(2021)H Calmet;K Inthavong;H Owen;D Dosimont
(2021)Ioannis D. Apostolopoulos;Peter P. Groumpos
(2020)Reza Tabe;Roohollah Rafee;Mohammad Sadegh Valipour;Goodarz Ahmadi
(2021)Jinghua Xu;Kang Wang;Mingyu Gao;Zhengxin Tu
(2020)Hequan Wu;Haibin Hou;Ming Shen;King H. Yang
(2020)Raymond C. Z. Cohen;Paul W. Cleary;Bruce R. Mason;David L. Pease
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