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Journal of Quality Technology
H-index 12

Journal of Quality Technology

0022-4065

Published by: American Society for Quality

https://asq.org/quality-resources/pub/journal-of-quality-technology

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 904 12 30 9

Additional Metrics

Number of Best Scientists*: 35
Documents by Best Scientists*: 53
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 99
SCIMAGO SJR: 1.068
Impact Factor: 2.2

Overview

Top Research Topics at Journal of Quality Technology?

Statistics, Quality (business), Control chart, Statistical process control and Econometrics are among the topics commonly tackled in the journal. Some problems in Statistics that were presented in it overlapped with concepts under ar x and R chart and EWMA chart. ar x and R chart research discussed connects with the study of ar x and s chart.

In Journal of Quality Technology, Control (management) and Reliability engineering are investigated in conjunction with one another to address concerns in Quality (business) research. Studies on Reliability engineering discussed in the journal link to the field of Reliability (statistics). Many of the studies tackled connect Control chart with a similar field of study like Chart.

The featured Statistical process control research is covered under the field of Process (computing). Sampling design is a major topic of Sampling (statistics) research presented in the journal. The journal focuses on Design of experiments as well as the interrelated topic of Algorithm.

  • Statistics (41.45%)
  • Quality (business) (15.19%)
  • Control chart (13.10%)

What are the most cited papers published in the journal?

  • Simultaneous Optimization of Several Response Variables (3286 citations)
  • Process Capability Indices (1202 citations)
  • Design and Analysis of Experiments, 5th Ed. (1022 citations)

Research areas of the most cited articles at Journal of Quality Technology:

The most cited articles are mainly concerned with subjects like Statistics, Control chart, Statistical process control, EWMA chart and Econometrics. The published papers focus on Statistics but sometimes tackle the closely related topic of ar x and R chart which is concerned with ar x and s chart and Sampling (statistics). The published articles explore issues in Control chart which can be linked to other research areas like Data mining and Chart.

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

  • Statistics
  • Normal distribution
  • Artificial intelligence

The previous edition focused in particular on these issues:

The journal was organized to reinforce research efforts on Data mining, Statistical process monitoring, Quality (business), Algorithm and Sampling (statistics). In addition to Data mining research, Journal of Quality Technology aims to explore topics under Normalization (statistics), Process (computing), Parametric statistics and Categorical variable. It tackles topics on Statistical process monitoring, which can potentially contribute to the wider field of Control chart.

Topics in Quality (business) were tackled in line with various other fields like Management, Statistics, Multivariate statistics and Big data. Most of the Statistics studies addressed also intersect with Random forest. In Journal of Quality Technology, Design of experiments, Covariance, Bayesian probability and Computer experiment are investigated in conjunction with one another to address concerns in Algorithm research.

The most cited articles from the last journal are:

  • A Review of Some Sampling and Aggregation Strategies for Basic Statistical Process Monitoring (20 citations)
  • Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters (15 citations)
  • A nonparametric CUSUM chart for monitoring multivariate serially correlated processes (11 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 Journal of Quality Technology (based on the number of publications) are:

  • Lloyd S. Nelson (301 papers) absent at the last edition,
  • Douglas C. Montgomery (58 papers) absent at the last edition,
  • William H. Woodall (51 papers) published 2 papers at the last edition,
  • Connie M. Borror (35 papers) absent at the last edition,
  • Michael S. Hamada (33 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 Journal of Quality Technology (based on the number of publications) are:

  • Arizona State University (114 papers) published 5 papers at the last edition, 4 more than at the previous edition,
  • Virginia Tech (108 papers) published 7 papers at the last edition, 6 more than at the previous edition,
  • General Electric (99 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Georgia Institute of Technology (53 papers) published 4 papers at the last edition the same number as at the previous edition,
  • Rutgers University (35 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, 8.33% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 40.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 7.27% of all publications and 41.82% 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

  • Bayesian Data Analysis

    (2024)
    7713 Citations
  • A-optimal versus D-optimal design of screening experiments

    Bradley Jones;Katherine Allen-Moyer;Peter Goos

    (2021)
    45 Citations
  • Statistical monitoring of the covariance matrix in multivariate processes: A literature review

    (2020)
    41 Citations
  • Correlation-based dynamic sampling for online high dimensional process monitoring

    Mohammad Nabhan;Yajun Mei;Jianjun Shi

    (2020)
    20 Citations
  • Multi-sensor based landslide monitoring via transfer learning

    Wendong Li;Fu-gee Tsung;Zhenli Song;Ke Zhang

    (2021)
    17 Citations
  • A penalized likelihood-based quality monitoring via L2-norm regularization for high-dimensional processes

    Sangahn Kim;Myong K. Jeong;Elsayed A. Elsayed

    (2020)
    16 Citations
  • Entropy-based adaptive design for contour finding and estimating reliability

    (2021)
    14 Citations
  • Artificial intelligence and statistics for quality technology: an introduction to the special issue

    Bianca Maria Colosimo;Enrique del Castillo;L. Allison Jones-Farmer;Kamran Paynabar

    (2021)
    12 Citations
  • Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process

    Huihui Miao;Andi Wang;Bing Li;Jianjun Shi

    (2021)
    10 Citations
  • Change Detection in Parametric Multivariate Dynamic Data Streams Using the ARMAX-GARCH Model

    Miaomiao Yu;Chunjie Wu;Fu-gee Tsung

    (2021)
    9 Citations

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