0890-6955
Published by: Elsevier
https://www.journals.elsevier.com/international-journal-of-machine-tools-and-manufacture
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mechanical and Aerospace Engineering | 50 | 50 | 86 | 34 |
| Engineering and Technology | 402 | 16 | 25 | 20 |
The objective of the journal is to combine knowledge in the areas of Machining, Mechanical engineering, Structural engineering, Engineering drawing and Composite material. The concepts on Machining presented in International Journal of Machine Tools & Manufacture can also apply to other research fields, including Surface finish, Machine tool and Cutting tool. The research on Surface finish tackled can also make contributions to studies in the areas of Surface roughness, Surface (mathematics) and Optics.
The featured Machine tool studies mainly concentrate on Control theory but also cover areas of interest in Control engineering. It holds forums on Mechanical engineering that merges themes from other disciplines such as Chip and Finite element method. Mechanics and Numerical analysis are some topics wherein Finite element method research discussed in International Journal of Machine Tools & Manufacture have an impact.
Structural engineering research presented in International Journal of Machine Tools & Manufacture encompasses a variety of subjects, including Vibration and Edge (geometry). The Composite material study tackling the subject of Abrasive is the focus of International Journal of Machine Tools & Manufacture. Issues in Drilling were discussed, taking into consideration concepts from other disciplines like Thrust and Drill.
The most cited papers are mainly concerned with subjects like Machining, Mechanical engineering, Metallurgy, Engineering drawing and Composite material. While work presented in the most cited articles provide substantial information on Machining, it also covers topics in Surface roughness, Surface finish, Machine tool and Cutting tool. The most cited papers address concerns in Mechanical engineering which are intertwined with other disciplines, such as Structural engineering and Finite element method.
The main points discussed in International Journal of Machine Tools & Manufacture deals with Composite material, Machining, Mechanical engineering, Microstructure and Stability (probability). The journal deals with Composite material in conjunction with Crystallite and similar fields in Grain size, Indentation hardness, Nickel, Tungsten disulfide and Nanoindentation. Machining research discussed connects with the study of Time domain.
Many of the studies tackled connect Mechanical engineering with a similar field of study like Thermal. The studies on Microstructure discussed can also contribute to research in the domains of Alloy, Ductility, Specific modulus and Volume (thermodynamics). While work presented in it provided substantial information on Stability (probability), it also covered topics in Robustness (computer science), Control theory, Probabilistic logic, Interpretability and Algorithm.
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 Machine Tools & Manufacture (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 Machine Tools & Manufacture (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, 4.55% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 28.57% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.35% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.81% of all publications and 41.27% 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.
Zhichao Yang;Lida Zhu;Guixiang Zhang;Chenbing Ni
(2020)Salomé Sanchez;Peter Smith;Zhengkai Xu;Gabriele Gaspard;Gabriele Gaspard
(2021)Zhirong Liao;Andrea la Monaca;James Murray;Alistair Speidel
(2021)Bing Wang;Zhanqiang Liu;Yukui Cai;Xichun Luo
(2021)Andrea la Monaca;James W. Murray;Zhirong Liao;Alistair Speidel
(2021)Unknown
(2022)Chaolin Tan;Chaolin Tan;Ji Zou;Ji Zou;Sheng Li;Parastoo Jamshidi
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