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Manufacturing Letters
H-index 20

Manufacturing Letters

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Materials Science 480 51 69 13

Additional Metrics

Number of Best Scientists*: 169
Documents by Best Scientists*: 257
Top 100 Ranked Scientists*: 2
SCIMAGO H-index: 46
SCIMAGO SJR: 0.551
Impact Factor: 2

Overview

Top Research Topics at Manufacturing letters?

Manufacturing letters mainly deals with areas of study such as Composite material, Laser, Mechanical engineering, Machining and Metallurgy. Manufacturing letters focuses on different Composite material studies like Microstructure, Composite number, Alloy, Welding and Ultimate tensile strength. The research on Welding discussed in Manufacturing letters draws on the closely related field of Joint (geology).

It explores issues in Laser which can be linked to other research areas like Optoelectronics and Deposition (phase transition).

  • Composite material (31.82%)
  • Laser (12.30%)
  • Mechanical engineering (10.16%)

What are the most cited papers published in the journal?

  • A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems (2282 citations)
  • Recent advances and trends in predictive manufacturing systems in big data environment (565 citations)
  • Industrial Artificial Intelligence for industry 4.0-based manufacturing systems (179 citations)

Research areas of the most cited articles at Manufacturing letters:

The most cited articles investigate areas of study like Cyber-physical system, Industry 4.0, Artificial intelligence, Big data and Manufacturing engineering. While Cyber-physical system is the focus of the journal articles, it also provides insights into the studies of Predictive analytics, Analytics and Systems engineering. The most cited articles about Integrated Computer-Aided Manufacturing, Advanced manufacturing, Process development execution system and Computer-integrated manufacturing under the umbrella field of Manufacturing engineering overlap with concepts in Consumption (economics).

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

  • Composite material
  • Artificial intelligence
  • Mechanical engineering

The previous edition focused in particular on these issues:

The discussions in the journal mainly cover the fields of Composite material, Laser, Mechanical engineering, Process (engineering) and Deposition (phase transition). It links adjacent topics like Composite material with Thermal. The study of Laser encompasses disciplines such as Optoelectronics, as well as fields such as Copper, all of which overlap with one another.

Machine tool, Surface finish and Machining are all areas of Mechanical engineering tackled in the journal. Topics in Process (engineering) explored in Manufacturing letters were investigated in conjunction with research in Manufacturing process, Deep learning, Artificial intelligence and Industrial engineering. Equiaxed crystals is a major topic of Microstructure research presented in the journal.

The most cited articles from the last journal are:

  • Technical language processing: Unlocking maintenance knowledge (5 citations)
  • Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring (4 citations)
  • Multi-material laser powder bed fusion additive manufacturing in 3-dimensions (2 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 Manufacturing letters (based on the number of publications) are:

  • Thomas R. Kurfess (10 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • Jay Lee (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Tony L. Schmitz (7 papers) published 4 papers at the last edition, 1 more than at the previous edition,
  • Jian Cao (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Kornel F. Ehmann (5 papers) published 1 paper at the last edition the same number as 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 Manufacturing letters (based on the number of publications) are:

  • Texas A&M University (19 papers) published 6 papers at the last edition, 3 more than at the previous edition,
  • Georgia Institute of Technology (15 papers) absent at the last edition,
  • Northwestern University (13 papers) published 2 papers at the last edition, 1 more than at the previous edition,
  • National Institute of Standards and Technology (13 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Oak Ridge National Laboratory (12 papers) published 8 papers at the last edition, 4 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, 2.41% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 29.63% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.64% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.81% of all publications and 46.91% 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

  • Deep-learning-based porosity monitoring of laser welding process

    Bin Zhang;Kyung-Min Hong;Yung C. Shin

    (2020)
    51 Citations
  • Linear patterning of high entropy alloy by additive manufacturing

    J. Karimi;P. Ma;Y.D. Jia;K.G. Prashanth;K.G. Prashanth;K.G. Prashanth

    (2020)
    49 Citations
  • A novel method for producing solid polymer microneedles using laser ablated moulds in an injection moulding process

    (2020)
    47 Citations
  • Adjustable ring mode and single beam fiber lasers: a performance comparison

    Masoud Mohammadpour;Lin Wang;Lin Wang;Fanrong Kong;Radovan Kovacevic

    (2020)
    40 Citations
  • Additive manufacturing of copper/diamond composites for thermal management applications

    Loic Constantin;Loic Constantin;Lisha Fan;Mael Pontoreau;Fei Wang

    (2020)
    38 Citations
  • Hybrid-hybrid machining of SiC-reinforced aluminium metal matrix composite

    (2022)
    34 Citations
  • Towards the large-scale production and strength prediction of near-eutectic AlxCoCrFeNi2.1 alloys by additive manufacturing

    Jithin Joseph;Mohammad Imran;Peter Hodgson;Matthew Barnett

    (2020)
    32 Citations
  • Synthesis and characterization of 316L stainless steel foam made through two different removal process of space holder method

    Hemant Jain;D.P. Mondal;Gaurav Gupta;Rajeev Kumar

    (2020)
    21 Citations
  • 3D Printing of Frontal-polymerized Multiscale Epoxy Thermoset and Composites

    (2022)
    19 Citations
  • Model-driven directed-energy-deposition process workflow incorporating powder flowrate as key parameter

    Kellen D. Traxel;Darin Malihi;Kyler Starkey;Amit Bandyopadhyay

    (2020)
    19 Citations

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Best Scientists Contributing to This Journal