| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 137 | 72 | 97 | 18 |
| Electronics and Electrical Engineering | 213 | 73 | 99 | 17 |
| Engineering and Technology | 710 | 23 | 37 | 12 |
The scientific interests tackled in the journal are Control theory, Control engineering, Control theory, Actuator and Robot. The Control theory study featured in the journal draws parallels with the field of Motion control. Mechatronics, Adaptive control, PID controller, Servomechanism and Robust control are all aspects of Control engineering research featured in it.
The research on Mechatronics discussed in the journal draws on the closely related field of Mechanical engineering. Topics in Control theory were tackled in line with various other fields like Trajectory and Feed forward. Most of the works presented in Mechatronics deals with Robot but it intersects with the subject of Simulation.
Many of the studies tackled connect Simulation with a similar field of study like Kinematics. Research on Artificial intelligence addressed in Mechatronics frequently intersections with the field of Computer vision.
The most cited papers mainly tackle studies in Control theory, Control engineering, Control theory, Actuator and Simulation. Most of the works presented in the most cited papers deal with Control theory but they intersect with the subject of Motion control. The published articles explore topics in Simulation which can be helpful for research in disciplines like Robot and Robotics.
The aim of the journal is to expand the discussion of research in Control theory, Control theory, Robot, Kinematics and Actuator. Control theory, which encompasses Torque, Nonlinear system, Feed forward, Sliding mode control and Observer (quantum physics), is the main subject of Mechatronics. The presentations focused mostly on Control theory in an attempt to further explore topics in Control engineering.
The journal addresses concerns in Control engineering which are intertwined with other disciplines, such as Field (computer science), Robotic arm and Modular design. While work presented in it provided substantial information on Robot, it also covered topics in Simulation and Human–computer interaction. While Actuator is the focus of it, it also provided insights into the studies of Control (management), Model predictive control, Energy consumption, Controllability and Bending.
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 Mechatronics (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 Mechatronics (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, 6.73% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.49% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.28% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.49% of all publications and 57.73% 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.
Raouf Fareh;Sofiane Khadraoui;Mahmoud Y. Abdallah;Mohammed Baziyad
(2021)Pengcheng Liu;M. Nazmul Huda;Li Sun;Hongnian Yu
(2020)Unknown
(2022)Huiming Xing;Huiming Xing;Liwei Shi;Xihuan Hou;Yu Liu
(2021)Tilok Kumar Das;Bijan Shirinzadeh;Mohammadali Ghafarian;Ammar Al-Jodah
(2020)Ammar Al-Jodah;Ammar Al-Jodah;Bijan Shirinzadeh;Mohammadali Ghafarian;Tilok Kumar Das
(2020)Lixin Tu;Donghong Ning;Shuaishuai Sun;Wenxing Li
(2020)Hongjun Xing;Hongjun Xing;Ali Torabi;Liang Ding;Haibo Gao
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