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Published by: Elsevier
https://www.journals.elsevier.com/robotics-and-computer-integrated-manufacturing
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 59 | 48 | 86 | 32 |
| Engineering and Technology | 114 | 48 | 135 | 42 |
| Electronics and Electrical Engineering | 169 | 34 | 51 | 21 |
Robotics and Computer-integrated Manufacturing focuses on Robot, Artificial intelligence, Control engineering, Control theory and Simulation. Robotics and Computer-integrated Manufacturing links adjacent topics like Robot with Process (computing). In Robotics and Computer-integrated Manufacturing, Mechanical engineering and Engineering drawing are investigated in conjunction with one another to address concerns in Process (computing) research.
The majority of Mechanical engineering studies in the journal are focused on the subject of Machining. The work tackled in it goes beyond the discipline of Machining as it also encompasses Machine tool. It facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Computer vision.
Robotics and Computer-integrated Manufacturing holds forums on Control theory that merges themes from other disciplines such as Kinematics and Position (vector). In it, researchers investigate the Robot control study as part of research in the field of Mobile robot.
The journal publications tackle a plethora of topics, such as Robot, Artificial intelligence, Control engineering, Manufacturing engineering and Systems engineering. Issues in Robot were discussed in the journal articles, taking into consideration concepts from other disciplines like Kinematics and Simulation. While the primary focus in the published articles is Control engineering, they also dissect topics surrounding Control theory and Acceleration as a whole.
The foci of Robotics and Computer-integrated Manufacturing are Robot, Artificial intelligence, Computer vision, Industrial robot and Human–robot interaction. The work on Robot tackled in Robotics and Computer-integrated Manufacturing brings together disciplines like Control theory, Robotic arm, Position (vector), Machining and Variety (cybernetics). Research in Process (computing) and the interrelating topic of Tool wear, Reliability engineering, Cutting tool and Backpropagation were among the subjects of interest in the Industrial robot studies discussed in the journal.
Human–robot interaction research featured in the journal incorporates concerns from various other topics such as Human–computer interaction, Scheme (programming language), Business model, Remanufacturing and Process management. The studies on Software discussed can also contribute to research in the domains of Control engineering and Point (geometry). The research on Control engineering tackled can also make contributions to studies in the areas of CAD and Robot welding.
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 Robotics and Computer-integrated Manufacturing (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 Robotics and Computer-integrated Manufacturing (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 2022 edition, 12.24% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 6.98% were posted by at least one author from the top 10 institutions publishing in the journal. Another 18.60% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.63% of all publications and 62.79% 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.
Yuqian Lu;Chao Liu;Kevin I.Kai Wang;Huiyue Huang
(2020)Yesheng Cui;Sami Kara;Ka Ching Chan;Ka Ching Chan
(2020)Arfan Majeed;Yingfeng Zhang;Yingfeng Zhang;Shan Ren;Jingxiang Lv
(2021)Unknown
(2022)Jiangfeng Cheng;Jiangfeng Cheng;He Zhang;Fei Tao;Chia-Feng Juang
(2020)Zhu Ming Bi;Zhu Ming Bi;Chaomin Luo;Zhonghua Miao;Bing Zhang
(2021)Xinlai Liu;Xinlai Liu;Wai Ming Wang;Hanyang Guo;Ali Vatankhah Barenji
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