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Production Engineering
H-index 14

Production Engineering

0944-6524

Published by: Springer

https://www.springer.com/journal/11740

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Mechanical and Aerospace Engineering 249 16 83 11
Engineering and Technology 971 13 37 8

Additional Metrics

Number of Best Scientists*: 46
Documents by Best Scientists*: 144
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 44
SCIMAGO SJR: 0.54
Impact Factor: 1.6

Overview

Top Research Topics at Production Engineering?

The main research concerns discussed in the journal are Mechanical engineering, Machining, Metallurgy, Machine tool and Composite material. The journal explores issues in Mechanical engineering which can be linked to other research areas like Structural engineering, Finite element method and Engineering drawing. The journal explores topics in Machining which can be helpful for research in disciplines like Surface roughness, Surface finish and Drilling.

Issues in Metallurgy were discussed, taking into consideration concepts from other disciplines like Sheet metal and Coating. The research on Machine tool tackled can also make contributions to studies in the areas of Control engineering and Control theory. Grinding research presented is mostly focused on the subject of Grinding wheel.

  • Mechanical engineering (29.18%)
  • Machining (17.82%)
  • Metallurgy (14.40%)

What are the most cited papers published in the journal?

  • Investigations on residual stresses and deformations in selective laser melting (361 citations)
  • Making existing production systems Industry 4.0-ready (175 citations)
  • Modelling and simulation of electron beam melting (154 citations)

Research areas of the most cited articles at Production Engineering:

The journal publications focus largely on the fields of Mechanical engineering, Metallurgy, Machining, Manufacturing engineering and Engineering drawing. While Mechanical engineering is the focus of the journal papers, it also provides insights into the studies of Formability and Finite element method. The published articles explore topics in Metallurgy which can be helpful for research in disciplines like Composite material and Laser.

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

  • Mechanical engineering
  • Composite material
  • Artificial intelligence

The previous edition focused in particular on these issues:

Production Engineering covers a variety of subjects, including Mechanical engineering, Machining, Composite material, Welding and Process management. Cutting force is a focus of the presented Mechanical engineering works and it dives deep in Cutting force. The studies on Machining discussed can also contribute to research in the domains of Residual stress, Surface finish and Vibration.

The studies in Vibration featured incorporate elements of Machine tool and Dexel. Production Engineering encompasses presentations on Composite material, specifically Formability, Ultimate tensile strength, Microstructure, Porosity and Alloy. The work on Welding tackled in Production Engineering brings together disciplines like Ductility, Forming processes and Deformation (engineering).

The most cited articles from the last journal are:

  • Inspection planning by defect prediction models and inspection strategy maps (3 citations)
  • Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy (3 citations)
  • Complexity in manufacturing systems: a literature review (3 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 Production Engineering (based on the number of publications) are:

  • Berend Denkena (82 papers) published 8 papers at the last edition, 3 more than at the previous edition,
  • Bernd-Arno Behrens (66 papers) published 6 papers at the last edition, 5 more than at the previous edition,
  • Christian Brecher (50 papers) published 1 paper at the last edition,
  • Fritz Klocke (45 papers) absent at the last edition,
  • Michael F. Zaeh (44 papers) published 2 papers at the last edition, 2 less 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 Production Engineering (based on the number of publications) are:

  • RWTH Aachen University (135 papers) published 8 papers at the last edition, 2 less than at the previous edition,
  • Leibniz University of Hanover (129 papers) published 13 papers at the last edition, 9 more than at the previous edition,
  • Technische Universität München (90 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Technical University of Dortmund (77 papers) published 5 papers at the last edition, 3 less than at the previous edition,
  • Fraunhofer Society (60 papers) published 3 papers at the last edition, 1 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, 23.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 57.97% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.70% of all publications and 26.09% 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

  • Improvement of a rivet geometry for the self-piercing riveting of high-strength steel and multi-material joints

    Benedikt Uhe;Clara-Maria Kuball;Marion Merklein;Gerson Meschut

    (2020)
    36 Citations
  • Tool wear estimation in turning of Inconel 718 based on wavelet sensor signal analysis and machine learning paradigms

    Tiziana Segreto;Doriana D’Addona;Roberto Teti

    (2020)
    33 Citations
  • Determining the machining allowance for WAAM parts

    Christina Fuchs;Daniel Baier;Thomas Semm;Michael F. Zaeh

    (2020)
    30 Citations
  • Thermal process monitoring and control for a near-net-shape Wire and Arc Additive Manufacturing

    (2022)
    27 Citations
  • Automated laser polishing for surface finish enhancement of additive manufactured components for the automotive industry

    Alessandra Caggiano;Roberto Teti;Vittorio Alfieri;Fabrizia Caiazzo

    (2021)
    26 Citations
  • Perspectives on data-driven models and its potentials in metal forming and blanking technologies

    (2022)
    25 Citations
  • Statistical approaches for semi-supervised anomaly detection in machining

    B. Denkena;M.-A. Dittrich;H. Noske;M. Witt

    (2020)
    17 Citations
  • Influence of the ultrasonic vibration amplitude on the melt pool dynamics and the weld shape of laser beam welded EN AW-6082 utilizing a new excitation system for laser beam welding

    H. Ohrdes;S. Nothdurft;C. Nowroth;J. Grajczak

    (2021)
    17 Citations
  • Analytic roughness prediction by deep rolling

    B. Denkena;A. Abrão;A. Krödel;K. Meyer

    (2020)
    15 Citations
  • A comparative analysis of ceramic and cemented carbide end mills

    Klaus Dröder;Bernhard Karpuschewski;Eckart Uhlmann;Peter A. Arrabiyeh

    (2020)
    15 Citations

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Best Scientists Contributing to This Journal