| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 445 | 4 | 5 | 3 |
| Electronics and Electrical Engineering | 459 | 9 | 10 | 5 |
The journal investigates areas of study like Manufacturing engineering, Automation, Artificial intelligence, Robot and Engineering drawing. The Manufacturing engineering works featured in Assembly Automation incorporate elements from Quality (business), Mechanical engineering, Rapid prototyping, Process (engineering) and Flexibility (engineering). The work tackled in Assembly Automation goes beyond the discipline of Process (engineering) as it also encompasses Systems engineering.
It focused on Artificial intelligence research but expanded to cover Computer vision. Studies on Robot discussed in it link to the field of Control engineering.
The most cited articles are organized to reinforce research efforts on Manufacturing engineering, Artificial intelligence, Mechanical engineering, Systems engineering and Engineering drawing. The studies on Manufacturing engineering discussed at the most cited publications can also contribute to research in the domains of Rapid prototyping, Rapid manufacturing and Design for assembly, Process (engineering). The most cited publications focus on Artificial intelligence but the discussions also offer insight into other areas such as Control engineering and Computer vision.
The journal focuses largely on the fields of Robot, Artificial intelligence, Control theory, Trajectory and Control engineering. The research on Robot tackled can also make contributions to studies in the areas of Object (computer science), Control theory, Process (computing) and GRASP. Artificial intelligence research featured in the journal incorporates concerns from various other topics such as Cloud computing and Computer vision.
Assembly Automation tackles studies in Motion planning and the interrelated subject of Deadlock, Optimal design, Industrial engineering, Quality (business) and Rule-based system to gain insights into Trajectory. While Assembly Automation focused on Control engineering, it was also able to explore topics like Compliant mechanism, Pallet, Strapping, SMT placement equipment and Robotic systems. While the primary focus in the journal is Computer hardware, it also dissects topics surrounding Automation and Process (engineering) as a whole.
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 Assembly 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 Assembly 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.
Yanjiang Huang;Yanglong Zheng;Nianfeng Wang;Jun Ota
(2020)Chengjun Chen;Zhongke Tian;Dongnian Li;Lieyong Pang
(2020)Mohamed Raessa;Weiwei Wan;Kensuke Harada
(2021)Yanhui Sun;Junkang Guo;Jun Hong;Guanghui Liu
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