Control Charts

Control Charts is a statistical quality-control tool that graphically displays time-ordered process data with statistically derived control limits in order to distinguish common-cause from special-cause variation and assess whether a process is stable and in control.

4.7K

Publications

247.5K

Citations

5.7K

Authors

1.9K

Institutions

Publications per year

2017–2026

1K

Authors

5.7K

  1. WH
    William H. Woodall

    Virginia Tech, United States

    98 publications · 12.6K citations

    55

    h-index

  2. PC
    Philippe Castagliola

    Nantes Université, France

    137 publications · 5.3K citations

    41

    h-index

  3. MR
    Marion R. Reynolds

    Virginia Tech, United States

    59 publications · 5.2K citations

    40

    h-index

  4. DC
    Douglas C. Montgomery

    Arizona State University, United States

    56 publications · 14.9K citations

    39

    h-index

  5. MR
    Muhammad Riaz

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    155 publications · 5.1K citations

    39

    h-index

1–5 of 5.7K

Venues

  1. Journal of Quality Technology

    380 publications · 36.7K citations

    106

    h-index

  2. Technometrics

    201 publications · 36.3K citations

    83

    h-index

  3. Quality and Reliability Engineering International

    584 publications · 18.8K citations

    60

    h-index

  4. International Journal of Production Research

    199 publications · 8.8K citations

    53

    h-index

  5. IIE Transactions

    109 publications · 5.5K citations

    45

    h-index

1–5