World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5138
World Ranking
10855
National Ranking
428

Pawan Lingras publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Pawan Lingras sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Pawan Lingras D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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