World's Best Scientists 2026 revealed!

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Computer Science

D-Index
37
Citations
5138
World Ranking
10857
National Ranking
429

Overview

Pawan Lingras is affiliated with Saint Mary's University in Canada. Their research spans multiple fields including Medicine, Engineering, and Computer Science, with an emphasis on Emergency Medicine, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Artificial Intelligence, and Health Informatics.

The scientist's work covers several main topics, notably Cardiac Arrest and Resuscitation, Context-Aware Activity Recognition Systems, Topic Modeling, Machine Learning in Healthcare, Artificial Intelligence in Healthcare and Education, Emergency and Acute Care Studies, and Indoor and Outdoor Localization Technologies.

Pawan Lingras has contributed to a variety of publications and venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • BMC Medical Informatics and Decision Making
  • PLOS Digital Health
  • PLoS ONE
  • JMIR mhealth and uhealth

The scientist's recent papers reflect the diversity of their interests:

  • "Clinical insights: A comprehensive review of language models in medicine," 2025, PLOS Digital Health
  • "SURF: identifying and allocating resources during Out-of-Hospital Cardiac Arrest," 2020, BMC Medical Informatics and Decision Making
  • "AEDNav: indoor navigation for locating automated external defibrillator," 2022, BMC Medical Informatics and Decision Making
  • "Clinical Insights: A Comprehensive Review of Language Models in Medicine," 2024, arXiv (Cornell University)
  • "PAAD: Panelization algorithm for architectural designs," 2024, PLoS ONE

Co-authors frequently collaborating with Pawan Lingras include:

  • Vijay Mago
  • Gaurav Rao
  • David W. Savage
  • Nikita Neveditsin
  • Andrew Fisher

The researcher has published books with recognized publishers, including:

  • "Applications of Fuzzy Techniques," 2022, Springer International Publishing
  • "Advanced Informatics for Computing Research," 2021, Springer Science+Business Media

Best Publications

  • Interval Set Clustering of Web Users with Rough K -Means

    Pawan Lingras;Chad West

  • Data mining using extensions of the rough set model

    P. J. Lingras;Y. Y. Yao

  • Interpretations of belief functions in the theory of rough sets

    Y. Y. Yao;P. J. Lingras

  • Soft clustering -- Fuzzy and rough approaches and their extensions and derivatives

    Georg Peters;Fernando Crespo;Pawan Lingras;Richard Weber

  • ESTIMATION OF MISSING TRAFFIC COUNTS USING FACTOR, GENETIC, NEURAL AND REGRESSION TECHNIQUES

    Ming Zhong;Pawan Lingras;Satish Sharma

  • Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification

    Pawan Lingras;Cory Butz

  • Rough Cluster Quality Index Based on Decision Theory

    P. Lingras;Min Chen;Duoqian Miao

  • Unsupervised Rough Set Classification Using GAs

    Pawan Lingras

  • Genetically Designed Models for Accurate Imputation of Missing Traffic Counts

    Ming Zhong;Satish Sharma;Pawan Lingras

  • Comparison of neofuzzy and rough neural networks

    Pawan Lingras

  • Genetic algorithms for rerouting shortest paths in dynamic and stochastic networks

    Cedric Davies;Pawan Lingras

  • Rough set clustering for Web mining

    P. Lingras

  • Time Delay Neural Networks Designed Using Genetic Algorithms for Short Term Inter-City Traffic Forecasting

    Pawan Lingras;Paul Mountford

  • Prediction of Recreational Travel Using Genetically Designed Regression and Time-Delay Neural Network Models

    Pawan Lingras;Satish Sharma;Ming Zhong

  • Applying Rough Set Concepts to Clustering

    Pawan Lingras;Pawan Lingras;Georg Peters

  • Interval set clustering of web users using modified Kohonen self-organizing maps based on the properties of rough sets

    Pawan Lingras;Mofreh Hogo;Miroslav Snorek

  • Granular meta-clustering based on hierarchical, network, and temporal connections

    Pawan Lingras;Farhana Haider;Matt Triff

  • CLASSIFYING HIGHWAYS: HIERARCHICAL GROUPING VERSUS KOHONEN NEURAL NETWORKS

    Pawan Lingras

  • Temporal analysis of clusters of supermarket customers: conventional versus interval set approach

    Pawan Lingras;Mofreh Hogo;Miroslav Snorek;Chad West

  • Rough Computing: Theories, Technologies and Applications

    Aboul Ella Hassanien;Zbigniew Suraj;Dominik Slezak;Pawan Lingras

Frequent Co-Authors

Yiyu Yao
Yiyu Yao University of Regina
Duoqian Miao
Duoqian Miao Tongji University
Andrzej Skowron
Andrzej Skowron University of Warsaw
Salvatore Greco
Salvatore Greco University of Portsmouth
S. K. M. Wong
S. K. M. Wong University of Regina
JingTao Yao
JingTao Yao University of Regina
Chris Cornelis
Chris Cornelis Ghent University
Sushmita Mitra
Sushmita Mitra Indian Statistical Institute
Nick Cercone
Nick Cercone York University
Tsu-Tian Lee
Tsu-Tian Lee National Taipei University of Technology

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