| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 246 | 20 | 34 | 11 |
| Engineering and Technology | 807 | 32 | 37 | 10 |
Composite material, Mechanical engineering, Structural engineering, Control theory and Machining are among the topics commonly tackled in the journal. International Journal of Precision Engineering and Manufacturing connects research in Composite material with the related topic of Metallurgy. The studies tackled, which mainly focus on Mechanical engineering, apply to Process (computing) as well.
It is mostly focused on Structural engineering, specifically Finite element method. International Journal of Precision Engineering and Manufacturing focuses on Control theory as well as the interrelated topic of Control engineering. Most of the works presented in the journal deals with Machining but it intersects with the subject of Surface roughness.
The journal publications tackle a plethora of topics, such as Mechanical engineering, Machining, Composite material, Metallurgy and Surface roughness. The journal publications focus on Mechanical engineering but the discussions also offer insight into other areas such as Structural engineering, Finite element method, Process (computing) and Engineering drawing. The journal papers focus on Metallurgy but sometimes tackle the closely related topic of Lubrication which is concerned with Lubricant and Tribology.
The foci of the journal are Composite material, Machining, Mechanical engineering, Process (computing) and Control theory. It dives deep in exploring the relationship between the study of Composite material and Laser. It facilitates discussions on Machining that incorporate concepts from other fields like Algorithm and Machine tool.
The overlapping concepts between Finite element method and Deformation (meteorology) are the key highlights of Mechanical engineering study. The research on Process (computing) featured in the journal combines topics in other fields like Vibration, Grinding and Actuator. It explores topics in Control theory which can be helpful for research in disciplines like Artificial neural network, Robot and Displacement (vector).
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 Precision Engineering and 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 International Journal of Precision Engineering and 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 2021 edition, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.17% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.29% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.38% of all publications and 53.15% 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.
Woo-Kyun Jung;Dong-Ryul Kim;Hyunsu Lee;Tae-Hun Lee
(2021)Duc-Thien Tran;Duc-Thien Tran;Hoai-Vu-Anh Truong;Kyoung Kwan Ahn
(2021)Kun Wang;Shichang Du;Lifeng Xi
(2020)Hyung Bin Park;Dong Ryul Kim;Hyung Jung Kim;Wei Wang
(2020)Yong Eun Lee;Bok-Kyung Kim;Jun-Hee Bae;Kyung Chun Kim
(2021)Ho-Jun Kim;Dong-Hwan Lim;Wan-Soo Kim;Chang-Soo Han
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