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Published by: Emerald Publishing
http://www.emeraldgrouppublishing.com/products/journals/journals.htm?id=ir
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 385 | 8 | 9 | 5 |
| Electronics and Electrical Engineering | 476 | 13 | 12 | 4 |
Robot, Artificial intelligence, Robotics, Simulation and Control engineering are among the topics commonly tackled in Industrial Robot-an International Journal. Robot research presented in it encompasses a variety of subjects, including Mechanical engineering, Automation and Manufacturing engineering. It focuses on different Mechanical engineering studies like Welding and Robot welding.
The in-depth study on Manufacturing engineering also explores topics in the intersecting field of Automotive industry. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Human–computer interaction and Computer vision. Systems engineering and Engineering management are some topics wherein Robotics research discussed in it have an impact.
It holds forums on Control engineering that merges themes from other disciplines such as Control system and Control theory. Control theory and Trajectory are all topics related to Control theory research discussed. The work on Mobile robot presented in the journal focuses on Robot control in particular.
The journal articles investigate areas of study like Robot, Artificial intelligence, Robotics, Simulation and Control engineering. Robot research presented in the most cited publications is mostly focused on the subject of Mobile robot. Manufacturing engineering, Computer vision and Welding are some topics wherein Artificial intelligence research discussed in the journal articles has an impact.
The journal is mainly concerned with subjects like Robot, Control theory, Artificial intelligence, Robotics and Control theory. While it focused on Robot, it was also able to explore topics like Invasive surgery, Process (computing), Simulation and Trajectory. The work on Control theory tackled in Industrial Robot-an International Journal brings together disciplines like Grinding, Moment (mathematics) and Bending (metalworking).
The research on Artificial intelligence featured in the journal combines topics in other fields like Grippers and Computer vision. The journal explores research in Management and overlapping concepts in Robot design to expand the discourse in Robotics. The concepts on Control theory presented in it can also apply to other research fields, including Actuator, Impedance control and Fuzzy logic.
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 Industrial Robot-an International Journal (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 Industrial Robot-an International Journal (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.
Shuhuan Wen;Xiaohan Lv;Hak Keung Lam;Shaokang Fan
(2021)Zhuming Bi;Chaomin Luo;Zhonghua Miao;Bing Zhang
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