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Quality and Reliability Engineering International
H-index 23

Quality and Reliability Engineering International

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 700 28 45 12

Additional Metrics

Number of Best Scientists*: 95
Documents by Best Scientists*: 216
Top 100 Ranked Scientists*: 4
SCIMAGO H-index: 77
SCIMAGO SJR: 0.613
Impact Factor: 2.8

Overview

Top Research Topics at Quality and Reliability Engineering International?

The journal focuses largely on the fields of Statistics, Reliability engineering, Control chart, Reliability (statistics) and Statistical process control. The concepts on Statistics presented in it can also apply to other research fields, including Control limits, X-bar chart and Econometrics. While it focused on Reliability engineering, it was also able to explore topics like Quality (business) and Process (engineering).

The Quality (business) study featured in Quality and Reliability Engineering International draws parallels with the field of Operations research. The Control chart study tackled is a key component of adjacent topics in the area of Chart. It focuses on Reliability (statistics) as well as the interrelated topic of Weibull distribution.

  • Statistics (26.42%)
  • Reliability engineering (20.87%)
  • Control chart (19.35%)

What are the most cited papers published in the journal?

  • Multivariate statistical process control charts: an overview (465 citations)
  • A Bootstrap Control Chart for Weibull Percentiles (260 citations)
  • A change point method for linear profile data (252 citations)

Research areas of the most cited articles at Quality and Reliability Engineering International:

The published papers are mainly concerned with subjects like Statistics, Control chart, Reliability engineering, Statistical process control and EWMA chart. The most cited articles explore research in Statistics alongside concepts in X-bar chart and other areas of study in u-chart. The works on Reliability engineering tackled in the published articles bring together disciplines like Quality (business), Reliability (statistics) and Process (engineering).

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

  • Statistics
  • Artificial intelligence
  • Mechanical engineering

The previous edition focused in particular on these issues:

The aim of the journal is to expand the discussion of research in Statistics, Control chart, Reliability engineering, Average run length and Reliability (statistics). The journal focuses on Statistics research which is adjacent to topics in Multivariate control charts. While work presented in Quality and Reliability Engineering International provided substantial information on Control chart, it also covered topics in Algorithm and Moving average.

Topics in Average run length were tackled in line with various other fields like Nonparametric statistics and Chart. The studies in Statistical process control featured incorporate elements of CUSUM and Monte Carlo method.

The most cited articles from the last journal are:

  • A mixed HWMA‐CUSUM mean chart with an application to manufacturing process (10 citations)
  • Generally weighted moving average monitoring schemes: Overview and perspectives (6 citations)
  • A data‐driven maintenance policy for railway wheelset based on survival analysis and Markov decision process (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 Quality and Reliability Engineering International (based on the number of publications) are:

  • Douglas C. Montgomery (89 papers) published 3 papers at the last edition,
  • Muhammad Riaz (72 papers) published 12 papers at the last edition, 4 more than at the previous edition,
  • Philippe Castagliola (54 papers) published 7 papers at the last edition, 2 more than at the previous edition,
  • Aarnout Brombacher (53 papers) absent at the last edition,
  • Michael B. C. Khoo (44 papers) published 11 papers at the last edition, 8 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 Quality and Reliability Engineering International (based on the number of publications) are:

  • Arizona State University (97 papers) published 3 papers at the last edition, 2 more than at the previous edition,
  • King Fahd University of Petroleum and Minerals (78 papers) published 14 papers at the last edition, 4 more than at the previous edition,
  • Quaid-i-Azam University (64 papers) published 18 papers at the last edition, 14 more than at the previous edition,
  • National University of Singapore (63 papers) absent at the last edition,
  • Virginia Tech (62 papers) published 4 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, 1.50% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.19% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.84% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.15% of all publications and 49.81% 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

  • Reliability investigation of exponentiated Weibull distribution using IPL through numerical and artificial neural network modeling

    (2022)
    38 Citations
  • Failure mode and effect analysis using multi‐linguistic terms and Dempster–Shafer evidence theory

    Yushan Hu;Linfeng Gou;Xinyang Deng;Wen Jiang

    (2021)
    27 Citations
  • On a new age‐replacement policy for items with observed stochastic degradation

    Maxim Finkelstein;Ji Hwan Cha;Gregory Levitin

    (2020)
    24 Citations
  • A new hybrid MCDM approach for RPN evaluation for a medical device prototype

    Liliane Pintelon;Mario Di Nardo;Teresa Murino;Giuseppe Pileggi

    (2021)
    24 Citations
  • A comparative analysis of maximum likelihood estimation and artificial neural network modeling to assess electrical component reliability

    (2022)
    23 Citations
  • Reliability study of generalized exponential distribution based on inverse power law using artificial neural network with Bayesian regularization

    (2023)
    22 Citations
  • Large‐scale systems resilience: A survey and unifying framework

    Lijuan Shen;Beatrice Cassottana;Hans Rudolf Heinimann;Loon Ching Tang

    (2020)
    22 Citations
  • On the design of control charts with guaranteed conditional performance under estimated parameters

    Ronald J.M.M. Does;Rob Goedhart;William H. Woodall

    (2020)
    19 Citations
  • An improved measure of quality loss for notching processes

    (2020)
    15 Citations
  • A mixed cumulative sum homogeneously weighted moving average control chart for monitoring process mean

    Muhammad Abid;Muhammad Abid;Sun Mei;Hafiz Zafar Nazir;Muhammad Riaz

    (2021)
    14 Citations

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Best Scientists Contributing to This Journal