World's Best Scientists 2026 revealed!
Philippe Castagliola

Philippe Castagliola

D-Index & Metrics

Mathematics

D-Index
46
Citations
8218
World Ranking
1366
National Ranking
73

Philippe Castagliola publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Philippe Castagliola sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 245 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Philippe Castagliola D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Philippe Castagliola sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 46 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Philippe Castagliola is affiliated with the University of Nantes in France, focusing primarily on decision sciences with a substantial number of publications in related fields. Their research interests span statistics, probability, and uncertainty, as well as control and systems engineering.

Their work covers several subfields, including:

  • Statistics, Probability and Uncertainty
  • Statistics and Probability
  • Control and Systems Engineering
  • Medical Laboratory Technology
  • Management Science and Operations Research

Key topics addressed by Castagliola include:

  • Advanced Statistical Process Monitoring
  • Scientific Measurement and Uncertainty Evaluation
  • Fault Detection and Control Systems
  • Advanced Statistical Methods and Models
  • Quality and Safety in Healthcare
  • Optimal Experimental Design Methods
  • Quality and Supply Management

Castagliola has contributed to a range of journals, with frequent publications in:

  • Quality and Reliability Engineering International
  • Computers & Industrial Engineering
  • Journal of Statistical Computation and Simulation
  • Communications in Statistics - Simulation and Computation
  • Journal of Applied Statistics

Recent papers demonstrate a focus on statistical process control and measurement error impacts, including:

  • Monitoring the coefficient of variation: A literature review, 2021, Computers & Industrial Engineering
  • Performance of the MEWMA-CoDa control chart in the presence of measurement errors, 2020, Quality and Reliability Engineering International
  • On the effect of the measurement error on Shewhart t and EWMA t control charts, 2020, The International Journal of Advanced Manufacturing Technology
  • Generally weighted moving average monitoring schemes: Overview and perspectives, 2020, Quality and Reliability Engineering International
  • A distribution-free EWMA control chart for monitoring time-between-events-and-amplitude data, 2020, Journal of Applied Statistics

Collaborations constitute an important part of their research activity, with frequent co-authors including:

  • Jean-Claude Malela-Majika
  • Michael B. C. Khoo
  • Xuelong Hu
  • Sandile Charles Shongwe
  • Anan Tang

Best Publications

  • A Comparison of the Readability of Graphs Using Node-Link and Matrix-Based Representations

    M. Ghoniem;J.-D. Fekete;P. Castagliola

  • On the readability of graphs using node-link and matrix-based representations: a controlled experiment and statistical analysis

    Mohammad Ghoniem;Jean-Daniel Fekete;Philippe Castagliola

  • Monitoring the Coefficient of Variation Using EWMA Charts

    Philippe Castagliola;Giovanni Celano;Stelios Psarakis

  • Some Recent Developments on the Effects of Parameter Estimation on Control Charts

    Stelios Psarakis;Angeliki K. Vyniou;Philippe Castagliola

  • Monitoring the coefficient of variation: A literature review

    Zahra Jalilibal;Amirhossein Amiri;Philippe Castagliola;Michael B.C. Khoo

  • An EWMA chart for monitoring the process standard deviation when parameters are estimated

    Petros E. Maravelakis;Philippe Castagliola

  • Effect of measurement error and autocorrelation on the X¯ chart

    Antonio F. B. Costa;Philippe Castagliola

  • A New S2‐EWMA Control Chart for Monitoring the Process Variance

    Philippe Castagliola

  • Measurement errors in statistical process monitoring

    Mohammad Reza Maleki;Amirhossein Amiri;Philippe Castagliola

  • The synthetic [Xbar] chart with estimated parameters

    Ying Zhang;Philippe Castagliola;Zhang Wu;Michael B.C. Khoo

  • Monitoring the Coefficient of Variation Using a Variable Sampling Interval Control Chart

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

  • A synthetic double sampling control chart for the process mean

    Michael B.C. Khoo;How Chinh Lee;Zhang Wu;Chung-Ho Chen

  • An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme

    Mohammad Reza Maleki;Amirhossein Amiri;Philippe Castagliola

  • Shewhart and EWMA t control charts for short production runs

    Giovanni Celano;Philippe Castagliola;Enrico Trovato;Sergio Fichera

  • Evaluation of Non-Normal Process Capability Indices Using Burr's Distributions

    Philippe Castagliola

  • Monitoring the Coefficient of Variation Using Control Charts with Run Rules

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

  • On t and EWMA t charts for monitoring changes in the process mean

    Lingyun Zhang;Gemai Chen;Philippe Castagliola

  • A CUSUM control chart for monitoring the variance when parameters are estimated

    Philippe Castagliola;Petros E. Maravelakis

  • Monitoring the coefficient of variation using a variable sample size control chart in short production runs

    Asma Amdouni;Philippe Castagliola;Hassen Taleb;Giovanni Celano

  • Run-sum control charts for monitoring the coefficient of variation

    Wei Lin Teoh;Michael Boon Chong Khoo;Philippe Castagliola;Wai Chung Yeong

  • Monitoring the coefficient of variation using a variable sample size control chart

    Philippe Castagliola;Ali Achouri;Hassen Taleb;Giovanni Celano

Frequent Co-Authors

Michael B. C. Khoo
Michael B. C. Khoo Universiti Sains Malaysia
Zhang Wu
Zhang Wu Nanyang Technological University
Jean-Daniel Fekete
Jean-Daniel Fekete French Institute for Research in Computer Science and Automation - INRIA
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Christian Prins
Christian Prins University of Technology of Troyes
André Langevin
André Langevin Polytechnique Montréal
Alexandre Dolgui
Alexandre Dolgui IMT Atlantique
Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University

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