| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 70 | 51 | 90 | 29 |
| Engineering and Technology | 88 | 75 | 170 | 47 |
The main points discussed in the journal deals with Mathematical optimization, Manufacturing engineering, Engineering drawing, Machining and Artificial intelligence. Journal of Manufacturing Systems holds forums on Mathematical optimization that merges themes from other disciplines such as Algorithm and Job shop scheduling, Flow shop scheduling. The research on Manufacturing engineering featured in Journal of Manufacturing Systems combines topics in other fields like Production (economics) and Process (engineering).
The journal focuses on Engineering drawing as well as the interrelated topic of Process (computing). The study of Machining, which falls within the realm of Mechanical engineering, was the main focus of the presentations. Topics in Artificial intelligence explored in it were investigated in conjunction with research in Machine learning, Computer vision and Pattern recognition.
The Computer-integrated manufacturing research presented places emphasis on topics like Integrated Computer-Aided Manufacturing and Process development execution system.
The journal publications explore disciplines such as Mathematical optimization, Manufacturing engineering, Computer-integrated manufacturing, Systems engineering and Engineering drawing. Issues in Mathematical optimization were discussed in the journal papers, taking into consideration concepts from other disciplines like Algorithm, Group technology and Job shop scheduling. The most cited articles explore topics in Manufacturing engineering which can be helpful for research in disciplines like Automation, Quality (business), Process (engineering) and Flexibility (engineering).
Journal of Manufacturing Systems tackles a plethora of topics, such as Process (engineering), Artificial intelligence, Process (computing), Production (economics) and Scheduling (production processes). While it focused on Process (engineering), it was also able to explore topics like Process management, Data-driven, Manufacturing engineering, Big data and Reinforcement learning. In Journal of Manufacturing Systems, Machine learning and Pattern recognition are investigated in conjunction with one another to address concerns in Artificial intelligence research.
It explores research in Process (computing) alongside concepts in Machining and other areas of study in Machine tool. It facilitates discussions on Production (economics) that incorporate concepts from other fields like Quality (business), Control (management), Mathematical optimization and Industrial engineering. The journal dives deep in exploring the relationship between the study of Scheduling (production processes) and Job shop scheduling.
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 Journal of Manufacturing Systems (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 Journal of Manufacturing Systems (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, 7.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.14% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.00% of all publications and 53.85% 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.
Qinglin Qi;Fei Tao;Tianliang Hu;Nabil Anwer
(2021)Xun Xu;Yuqian Lu;Birgit Vogel-Heuser;Lihui Wang
(2021)Yuqian Lu;Xun Xu;Lihui Wang
(2020)Chunyang Xia;Chunyang Xia;Zengxi Stephen Pan;Joseph W Polden;Hui Jun Li
(2020)Baicun Wang;S. Jack Hu;Lei Sun;Theodor Freiheit
(2020)Hongru Cao;Haidong Shao;Haidong Shao;Xiang Zhong;Qianwang Deng
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