| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Electronics and Electrical Engineering | 502 | 12 | 30 | 3 |
International Journal of Robotics & Automation aims to foster the development of research in Control theory, Artificial intelligence, Robot, Computer vision and Control engineering. International Journal of Robotics & Automation connects research in Control theory with the related topic of Control (management). International Journal of Robotics & Automation connects the study in Artificial intelligence with the closely related area of Pattern recognition.
The Robot study tackled is a key component of adjacent topics in the area of Human–computer interaction. The Computer vision study featured in International Journal of Robotics & Automation draws connections with the study of Mobile robot.
The journal articles mainly tackle studies in Control theory, Robot, Computer vision, Artificial intelligence and Control theory. The journal publications link adjacent topics like Control theory with Control (management). The published papers facilitate discussions in Feedback linearization as part of the larger field of Control theory, however, they also tackle fields such as Adaptive estimator.
International Journal of Robotics & Automation focuses on Structural engineering, Artificial intelligence, Control theory, Computer vision and Robot. The concepts on Structural engineering presented in it can also apply to other research fields, including Stress monitoring and Magnetic flux leakage. Topics in Artificial intelligence were tackled in line with various other fields like Systems engineering and Pattern recognition.
Some problems in Control theory that were presented in it overlapped with concepts under Control (management) and Obstacle avoidance. It holds forums on Computer vision that merges themes from other disciplines such as Simultaneous localization and mapping and Monocular slam. While work presented in International Journal of Robotics & Automation provided substantial information on Robot, it also covered topics in Control engineering, Bending and Real-time computing.
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 International Journal of Robotics & Automation (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 International Journal of Robotics & Automation (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, 100.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, nan% were posted by at least one author from the top 10 institutions publishing in the journal. Another nan% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included nan% of all publications and nan% 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.
Peng Liu;Changlin Song;Junmin Li;Simon X. Yang
(2020)Zhiwei Yu;Jielian Tao;Jianyu Xiong;Simon X. Yang
(2021)Wenyang Gan;Daqi Zhu;Simon X. Yang
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