World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
5787
World Ranking
3290
National Ranking
134

A. Ian McLeod 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 A. Ian McLeod 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: 83 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

A. Ian McLeod 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 A. Ian McLeod 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: 138 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Overview

A. Ian McLeod is affiliated with the University of Western Ontario in Canada and focuses primarily on research within the social sciences, with significant attention to education-related topics. Their academic work spans multiple subfields, including education, artificial intelligence, industrial and manufacturing engineering, and computer vision and pattern recognition.

The research topics in McLeod's portfolio encompass machine learning and data classification, industrial vision systems and defect detection, advanced neural network applications, diverse education studies and reforms, school choice and performance, and indigenous and place-based education.

McLeod's published papers include:

  • "On Learning Contrastive Representations for Learning with Noisy Labels," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "The Roots of Inequality: Texas School Politics and the Leadup to Rodriguez," 2023, History of Education Quarterly
  • "Navigating PUPSIT implementation challenges for high-viscosity oligonucleotide drug products," 2025, Journal of Pharmaceutical Sciences
  • "Disaggregating power outages from disconnections: A Northern Illinois case study," 2025, iScience

The venues where McLeod's work has appeared reflect interdisciplinary interests, including publications in computer vision and pharmaceutical sciences journals alongside education-focused quarters.

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • History of Education Quarterly
  • Journal of Pharmaceutical Sciences
  • iScience

Frequent collaborators in McLeod's research include Yi Li, Sheng Liu, Qi She, Boyu Wang, and Joseph Perchiacca. These coauthors contribute to a diverse set of topics consistent with McLeod's multidisciplinary scope.

  • Yi Li
  • Sheng Liu
  • Qi She
  • Boyu Wang
  • Joseph Perchiacca

Best Publications

  • DIAGNOSTIC CHECKING ARMA TIME SERIES MODELS USING SQUARED‐RESIDUAL AUTOCORRELATIONS

    A. I. McLeod;Wai Keung Li

  • Preservation of the rescaled adjusted range: 1. A reassessment of the Hurst Phenomenon

    Angus Ian McLeod;Keith William Hipel

  • Distribution of the Residual Autocorrelations in Multivariate Arma Time Series Models

    Unknown

  • Advances in Box-Jenkins modeling: 1. Model construction

    Keith William Hipel;Angus Ian McLeod;William C. Lennox

  • Fractional time series modelling

    W. K. Li;A. I. Mcleod

  • Forecasting monthly riverflow time series

    Donald J. Noakes;A.Ian McLeod;Keith W. Hipel

  • DIAGNOSTIC CHECKING OF PERIODIC AUTOREGRESSION MODELS WITH APPLICATION

    Unknown

  • Advances in Box-Jenkins modeling: 2. Applications

    Angus Ian McLeod;Keith William Hipel;William C. Lennox

  • Forecasting nonlinear time series with feed-forward neural networks: a case study of Canadian lynx data

    Yoshio Kajitani;Keith W. Hipel;A. Ian Mcleod

  • Preservation of the rescaled adjusted range: 2. Simulation studies using Box‐Jenkins Models

    Keith William Hipel;Angus Ian McLeod

  • Intervention Analysis in Water Resources

    Keith William Hipel;W. C. Lennox;T. E. Unny;Angus Ian McLeod

  • Simulation procedures for Box‐Jenkins Models

    Angus Ian McLeod;Keith William Hipel

  • Trend analysis methodology for water quality time series

    A. Ian McLeod;A. Ian McLeod;Keith W. Hipel;Byron A. Bodo;Byron A. Bodo

  • A Remark on Algorithm as 183. An Efficient and Portable Pseudo‐Random Number Generator

    A. Ian McLeod

  • Trend Assessment of Water Quality Time Series

    A. Ian McLeod;Keith W. Hipel;Fernando Comancho

  • ARMA MODELLING WITH NON-GAUSSIAN INNOVATIONS

    Wai Keung Li;A. I. McLeod

  • Improved Multivariate Portmanteau Test

    Esam Mahdi;A. Ian McLeod

  • Algorithms for Linear Time Series Analysis: With R Package

    A. Ian McLeod;Hao Yu;Zinovi L. Krougly

  • A Convenient Algorithm for Drawing a Simple Random Sample

    Unknown

  • Time Series Analysis with R

    A. Ian McLeod;Hao Yu;Esam Mahdi

  • Improved Peňa-Rodriguez portmanteau test

    Jen-Wen Lin;A.Ian McLeod

  • Distribution of the Residual Cross-Correlation in Univariate ARMA Time Series Models

    A. Ian McLeod

  • Forecasting Quarter-Monthly Riverflow

    Robert M. Thompstone;Keith W. Hipel;A. Ian McLeod

Frequent Co-Authors

Keith W. Hipel
Keith W. Hipel University of Waterloo
Evelyn Vingilis
Evelyn Vingilis University of Western Ontario
Slobodan P. Simonovic
Slobodan P. Simonovic University of Western Ontario
J. David Spence
J. David Spence University of Western Ontario
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Robert E. Mann
Robert E. Mann Centre for Addiction and Mental Health
Paulo A. Lotufo
Paulo A. Lotufo Universidade de São Paulo
Thomas Wisniewski
Thomas Wisniewski New York University
Lauren Lissner
Lauren Lissner University of Gothenburg
Ingmar Skoog
Ingmar Skoog University of Gothenburg

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