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International Journal of Machining and Machinability of Materials
H-index 4

International Journal of Machining and Machinability of Materials

1748-5711

Published by: Inderscience Publishers

https://www.inderscience.com/jhome.php?jcode=ijmmm

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 427 7 16 3

Additional Metrics

Number of Best Scientists*: 14
Documents by Best Scientists*: 24
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 31
SCIMAGO SJR: 0.217
Impact Factor: N/A

Overview

Top Research Topics at International Journal of Machining and Machinability of Materials?

International Journal of Machining and Machinability of Materials is organized to address concerns in the fields of Machining, Metallurgy, Surface roughness, Mechanical engineering and Composite material. While Machining is the focus of it, it also provided insights into the studies of Surface finish and Cutting tool. Research on Metallurgy addressed in the journal frequently intersections with the field of Lubrication.

The Surface roughness works featured in it incorporate elements from Taguchi methods, Design of experiments, Superalloy, Grey relational analysis and Response surface methodology. International Journal of Machining and Machinability of Materials explores issues in Mechanical engineering which can be linked to other research areas like Engineering drawing, Structural engineering, Finite element method and Edge (geometry). International Journal of Machining and Machinability of Materials focused on Composite material research but expanded to cover Drilling.

The studies in Drilling featured incorporate elements of Thrust and Drill. The research on Machinability featured in International Journal of Machining and Machinability of Materials combines topics in other fields like Silicon carbide and Aluminium. The research on Tool wear discussed in the journal draws on the closely related field of Inconel.

  • Machining (95.29%)
  • Metallurgy (37.71%)
  • Surface roughness (34.18%)

What are the most cited papers published in the journal?

  • Accompanying phenomena in the cutting zone machinability during turning of stainless steels (57 citations)
  • Toolpath dependent stability lobes for the milling of thin-walled parts (47 citations)
  • An investigation into the machining characteristics of titanium using ultrasonic machining (42 citations)

Research areas of the most cited articles at International Journal of Machining and Machinability of Materials:

The most cited publications investigate studies in Machining, Metallurgy, Composite material, Surface roughness and Surface finish. Research in the field of Mechanical engineering was used to conduct the presented Machining studies in the journal publications. The most cited papers address concerns in Metallurgy which are intertwined with other disciplines, such as Lubrication, Taguchi methods and Coolant.

What topics the last edition of the journal is best known for?

  • Composite material
  • Mechanical engineering
  • Statistics

The previous edition focused in particular on these issues:

The journal mostly deals with topics like Machining, Surface roughness, Machinability, Composite material and Metallurgy. The featured Machining research is covered under the field of Mechanical engineering. International Journal of Machining and Machinability of Materials addresses concerns in Surface roughness which are intertwined with other disciplines, such as Data analysis, Outlier, Damping ratio and Big data.

Some problems in Machinability that were presented in the journal overlapped with concepts under Rake, Texture (crystalline), Cutting tool, Shear (sheet metal) and Titanium alloy. The Composite material study presented in the journal encompasses related topics like Optical microscope, Polymer, Scanning electron microscope and Epoxy and also examines its connection to subjects such as Flank. The Inconel and Dry machining studies presented in International Journal of Machining and Machinability of Materials fall under the field of Metallurgy, but it also has connections to other fields such as Health problems.

The most cited articles from the last journal are:

  • Effect of rake surface textures spacing and width on the cutting performance of inserts in dry machining of titanium alloy (1 citations)
  • Improving the micro-electrical-discharge drilling performance of carbon fibre-reinforced polymer: role of assisting-electrode and shaped tool (1 citations)
  • Finite Element Analysis Machining Assessment Study of AL-6XN and Inconel 718 alloys (0 citations)

Papers citation over time

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 Machining and Machinability of Materials (based on the number of publications) are:

  • Pradeep Kumar (9 papers) absent at the last edition,
  • Deba Kumar Sarma (7 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • J. Paulo Davim (7 papers) absent at the last edition,
  • Hédi Hamdi (6 papers) absent at the last edition,
  • Joël Rech (6 papers) absent at the last edition.

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 Machining and Machinability of Materials (based on the number of publications) are:

  • Indian Institute of Technology Madras (13 papers) absent at the last edition,
  • Jadavpur University (13 papers) absent at the last edition,
  • Indian Institute of Technology Roorkee (13 papers) absent at the last edition,
  • National Institute of Technology, Tiruchirappalli (10 papers) absent at the last edition,
  • Indian Institute of Technology Kanpur (9 papers) absent at the last edition.

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.

Publication chance based on affiliation

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, 15.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 29.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.53% of all publications and 47.06% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Hybrid Taguchi-GRA-PCA approach for multi-response optimisation of turning process parameters under HPC condition

    (2020)
    13 Citations
  • Hybrid Taguchi-GRA-PCA approach for multi-response optimisation of turning process parameters under HPC condition

    (2020)
    6 Citations
  • Assessment of features from multiple sensors in monitoring titanium milling

    (2022)
    4 Citations
  • Study on characteristics of AlTiN and TiCN coating layers deposited on carbide cutting tools in hard turning of steel: experimental, simulation and optimisation

    (2021)
    1 Citations
  • Increasing productivity in hard turning of steels using CVD-coated carbide

    (2020)
    1 Citations
  • Experimental investigation into electrochemical discharge peripheral surface grinding process of polymer nanocomposites

    (2023)
    1 Citations
  • Study on characteristics of AlTiN and TiCN coating layers deposited on carbide cutting tools in hard turning of steel: experimental, simulation and optimisation

    Armansyah Ginting;Che Hassan Che Haron;Mohammed Nouari;Issam Bencheikh

    (2021)
    1 Citations
  • Experimental investigation into electrochemical discharge peripheral surface grinding process of polymer nanocomposites

    (2022)
    1 Citations
  • Increasing productivity in hard turning of steels using CVD-coated carbide

    Armansyah Ginting;Mohammed Nouari;Issam Bencheikh

    (2020)
    1 Citations
  • The effect of wet blasting as a pre-deposition treatment for thick TiAlN PVD coating on machining performance

    (2022)
    0 Citations

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Best Scientists Contributing to This Journal