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D-Index & Metrics

Mathematics

D-Index
31
Citations
5787
World Ranking
3289
National Ranking
134

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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