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CIRP Journal of Manufacturing Science and Technology
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CIRP Journal of Manufacturing Science and Technology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 87 62 137 24
Engineering and Technology 380 39 76 21

Additional Metrics

Number of Best Scientists*: 164
Documents by Best Scientists*: 265
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 69
SCIMAGO SJR: 1.097
Impact Factor: 5.4

Overview

Top Research Topics at Cirp Journal of Manufacturing Science and Technology?

Cirp Journal of Manufacturing Science and Technology aims to foster the development of research in Machining, Mechanical engineering, Composite material, Manufacturing engineering and Production (economics). Topics in Machining were tackled in line with various other fields like Surface roughness and Structural engineering. Finite element method is a primary topic of Structural engineering research in it.

The journal is focused mainly on Mechanical engineering, particularly Machine tool. Microstructure, Ultimate tensile strength, Welding and Residual stress are Composite material topics of special interest in Cirp Journal of Manufacturing Science and Technology. The concepts on Manufacturing engineering presented in the journal can also apply to other research fields, including Systems engineering and Process (engineering).

  • Machining (20.48%)
  • Mechanical engineering (17.19%)
  • Composite material (16.69%)

What are the most cited papers published in the journal?

  • Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels (604 citations)
  • Automotive assembly technologies review: challenges and outlook for a flexible and adaptive approach (269 citations)
  • Chatter stability of milling in frequency and discrete time domain (214 citations)

Research areas of the most cited articles at Cirp Journal of Manufacturing Science and Technology:

The most cited papers primarily tackle Machining, Mechanical engineering, Manufacturing engineering, Systems engineering and Metallurgy. In addition to Machining research, the most cited articles aim to explore topics under Composite material, Diamond and Control theory. While Manufacturing engineering is the focus of the most cited papers, it also provides insights into the studies of Product-service system and Process (engineering).

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

  • Mechanical engineering
  • Artificial intelligence
  • Composite material

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Composite material, Machining, Mechanical engineering, Microstructure and Process (engineering). Cirp Journal of Manufacturing Science and Technology focuses on different Composite material studies like Welding, Ultimate tensile strength, Aluminium, Alloy and Indentation hardness. While the primary focus in Cirp Journal of Manufacturing Science and Technology is Machining, it also dissects topics surrounding Surface roughness and Surface finish as a whole.

It facilitates discussions on Mechanical engineering that incorporate concepts from other fields like Finite element method and Edge (geometry). While Process (engineering) is the focus of the journal, it also provided insights into the studies of Production (economics), Process engineering, Systems engineering and Biochemical engineering. Production (economics) research in it involves the investigation of Automation studies, all of which are linked to disciplines such as Quality (business).

The most cited articles from the last journal are:

  • Towards high performance living manufacturing systems - A new convergence between biology and engineering (9 citations)
  • Effects of friction stir welding tool tilt angle on properties of Al-Mg-Si alloy T-joint (6 citations)
  • The energetic characteristics of milling with changing cross-section in the definition of specific cutting force by FEM method (6 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 Cirp Journal of Manufacturing Science and Technology (based on the number of publications) are:

  • Berend Denkena (41 papers) published 9 papers at the last edition, 3 more than at the previous edition,
  • George Chryssolouris (13 papers) absent at the last edition,
  • Konrad Wegener (13 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jan C. Aurich (13 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Gisela Lanza (12 papers) published 3 papers at the last edition, 2 more than at the previous 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 Cirp Journal of Manufacturing Science and Technology (based on the number of publications) are:

  • Leibniz University of Hanover (42 papers) published 7 papers at the last edition the same number as at the previous edition,
  • RWTH Aachen University (35 papers) published 7 papers at the last edition, 6 more than at the previous edition,
  • Fraunhofer Society (35 papers) published 11 papers at the last edition, 8 more than at the previous edition,
  • University of Patras (21 papers) absent at the last edition,
  • Karlsruhe Institute of Technology (17 papers) published 4 papers at the last edition, 3 more than at the previous 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, 2.96% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.20% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.90% of all publications and 50.61% 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

  • A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys

    Murat Sarıkaya;Munish Kumar Gupta;Italo Tomaz;Danil Yu Pimenov

    (2021)
    257 Citations
  • Deep reinforcement learning in smart manufacturing: A review and prospects

    (2022)
    131 Citations
  • Influence of MoS2 and graphite-reinforced nanofluid-MQL on surface roughness, tool wear, cutting temperature and microhardness in machining of Inconel 625

    Unknown

    (2023)
    118 Citations
  • Dissimilar joining of the martensitic grade P91 and Incoloy 800HT alloy for AUSC boiler application: Microstructure, mechanical properties and residual stresses

    Unknown

    (2022)
    94 Citations
  • On-line chatter detection in milling with hybrid machine learning and physics-based model

    M. Hossein Rahimi;Hoai Nam Huynh;Yusuf Altintas

    (2021)
    71 Citations
  • Real time monitoring and control of friction stir welding process using multiple sensors

    Debasish Mishra;Abhinav Gupta;Pranav Raj;Aman Kumar

    (2020)
    62 Citations
  • Effect of build direction on the microstructure evolution and their mechanical properties using GTAW based wire arc additive manufacturing

    (2022)
    55 Citations
  • Data-driven business process management-based development of Industry 4.0 solutions

    (2022)
    52 Citations

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Best Scientists Contributing to This Journal