World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
8802
World Ranking
7549
National Ranking
470

Overview

Stan Openshaw was affiliated with the University of Leeds in the United Kingdom. Their research spanned multiple fields, primarily within Medicine, but also extended into Engineering and Computer Science.

Their work addressed a range of subfields, including Public Health, Environmental and Occupational Health, Building and Construction, Artificial Intelligence, Geochemistry and Petrology, and Pharmacy.

Openshaw's main research topics included:

  • 3D Modeling in Geospatial Applications
  • Advanced Computational Techniques and Applications
  • Geological Modeling and Analysis
  • Obesity, Physical Activity, Diet
  • Obesity and Health Practices
  • Nutritional Studies and Diet

They contributed to academic literature with publications in the venue Current Nutrition Reports. One noted recent paper, published in 2025, was titled Important Nutritional Concepts and Recommendations at the Level of Medical School Education.

Throughout their career, Openshaw collaborated with several coauthors, including:

  • Tim Perrée
  • Chris Brunsdon
  • Heidi Benavides
  • Rebecca A. Busch
  • Carrie Liston

Stan Openshaw's work combined expertise in computational and geospatial modeling techniques with applied studies in nutrition and public health, reflecting an interdisciplinary approach during their professional tenure.

Best Publications

  • A million or so correlation coefficients : three experiments on the modifiable areal unit problem

    Stan Openshaw

  • A Mark 1 Geographical Analysis Machine for the automated analysis of point data sets

    Stan Openshaw;Martin E. Charlton;Colin Wymer;Alan Craft

  • Integrating GIS and spatial data analysis: problems and possibilities

    Michael Goodchild;Robert Haining;Stephen Wise

  • A geographical solution to scale and aggregation problems in region-building, partitioning and spatial modelling

    S. Openshaw

  • Artificial Intelligence in Geography

    Stan Openshaw;Christine Openshaw

  • Algorithms for reengineering 1991 census geography.

    S Openshaw;L Rao

  • An Efficient Algorithm to Generate Official Statistical Reporting Areas: The Case of the 1984 Travel-to-Work Areas Revision in Britain

    M. G. Coombes;Anne E. Green;S. Openshaw

  • INVESTIGATION OF LEUKAEMIA CLUSTERS BY USE OF A GEOGRAPHICAL ANALYSIS MACHINE

    S Openshaw;S Openshaw;M Charlton;M Charlton;A.W Craft;A.W Craft;J.M Birch;J.M Birch

  • Optimal Zoning Systems for Spatial Interaction Models

    S Openshaw

  • Algorithms for automated line generalization1 based on a natural principle of objective generalization

    Zhilin Li;Stan Openshaw

  • Learning to live with errors in spatial databases

    Stan Openshaw

  • A hybrid multi-model approach to river level forecasting

    Linda See;Stan Openshaw

  • Applying soft computing approaches to river level forecasting

    Linda See;Stan Openshaw

  • Geographical Information and Planning

    John C. H. Stillwell;Stan Geertman;Stan Openshaw

  • Spatial Data Analysis by Example. Vol. 1. Point Pattern and Quantitative Data.

    Unknown

  • Two exploratory space-time-attribute pattern analysers relevant to GIS

    Stan Openshaw

  • An Empirical Study of Some Zone-Design Criteria

    S Openshaw

  • The case for samples of anonymized records from the 1991 census.

    Catherine Marsh;Chris Skinner;Sara Arber;Bruce Penhale

  • Modelling spatial interaction using a neural net

    Stan Openshaw

  • Neural Network, Genetic, and Fuzzy Logic Models of Spatial Interaction:

    S Openshaw

  • A Natural Principle for the Objective Generalization of Digital Maps

    Zhilin Li;Stan Openshaw

  • Census users' handbook

    Stan Openshaw

  • Building a prototype Geographical Correlates Exploration Machine

    Stan Openshaw;Anna Cross;Martin Charlton

  • Daily Urban Systems in Britain: From Theory to Practice:

    M G Coombes;J S Dixon;J B Goddard;S Openshaw

  • Disclosure control for census microdata

    Chris J. Skinner;Catherine Marsh;Stan Openshaw;Colin Wymer

  • HIERARCHICAL DESTINATION CHOICE AND SPATIAL INTERACTION MODELLING: A SIMULATION EXPERIMENT

    A. S. Fotheringham;T. Nakaya;K. Yano;S. Openshaw

Frequent Co-Authors

Mike Coombes
Mike Coombes Newcastle University
Alan W. Craft
Alan W. Craft Newcastle University
Linda See
Linda See International Institute for Applied Systems Analysis
John Goddard
John Goddard Newcastle University
Anne E. Green
Anne E. Green University of Birmingham
Peter J. Taylor
Peter J. Taylor Northumbria University
Manfred M. Fischer
Manfred M. Fischer Vienna University of Economics and Business
Stan Geertman
Stan Geertman Utrecht University
Patsy Healey
Patsy Healey Newcastle University
Tavi Murray
Tavi Murray Swansea University

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