| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 645 | 41 | 68 | 13 |
The journal aims to foster the development of research in Biomedical engineering, Finite element method, Artificial intelligence, Biomechanics and Simulation. Topics in Biomedical engineering were tackled in line with various other fields like Femur, Stiffness, Implant and Anatomy. In Medical Engineering & Physics, researchers investigate the Finite element method study as part of research in the field of Structural engineering.
In addition to Artificial intelligence research, it aims to explore topics under Computer vision and Pattern recognition. The studies tackled, which mainly focus on Biomechanics, apply to Orthodontics as well. Studies on Orthodontics discussed in the journal link to the field of Surgery.
Many of the studies tackled connect Simulation with a similar field of study like Kinematics.
The published papers are mainly concerned with subjects like Biomedical engineering, Finite element method, Biomechanics, Artificial intelligence and Anatomy. The published articles address concerns in Biomedical engineering which are intertwined with other disciplines, such as Soft tissue, Tomography, Stiffness and Implant. The published articles focus on Artificial intelligence but sometimes tackle the closely related topic of Pattern recognition which is concerned with Speech recognition.
The journal mostly deals with topics like Biomedical engineering, Orthodontics, Finite element method, Artificial intelligence and Biomechanics. While Biomedical engineering is the focus of the journal, it also provided insights into the studies of Imaging phantom, Compression (physics), Stiffness and Soft tissue. Topics in Orthodontics explored in Medical Engineering & Physics were investigated in conjunction with research in Fixation (histology), Kinematics, Femur and Fracture (geology).
Kinematics and Motion capture are closely related fields of research discussed in the journal. The studies in Finite element method featured incorporate elements of Stress (mechanics) and Material properties. Research on Artificial intelligence addressed in Medical Engineering & Physics frequently intersections with the field of Computer vision.
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 Medical Engineering & Physics (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 Medical Engineering & Physics (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, 5.26% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 7.14% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.32% of all publications and 73.81% 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.
Monika Colombo;Marco Bologna;Marc Garbey;Scott Berceli
(2020)Giuseppe De Nisco;Paola Tasso;Karol Calò;Valentina Mazzi
(2020)Jihun Lee;Hyoryong Lee;Su-hyun Kwon;Sukho Park
(2020)Maurizio Lodi Rizzini;Diego Gallo;Giuseppe De Nisco;Fabrizio D'Ascenzo
(2020)Mario F. Jiménez;Ricardo C. Mello;Teodiano Bastos;Anselmo Frizera
(2020)Chloé Techens;Marco Palanca;Peter Endre Éltes;Áron Lazáry
(2020)Gil Serrancolí;Allison L. Kinney;Benjamin J. Fregly
(2020)Giovanni Putame;Stefano Gabetti;Dario Carbonaro;Franca Di Meglio
(2020)Manon Fraulob;Siyuan Pang;Sophie Le Cann;Romain Vayron
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