World's Best Scientists 2026 revealed!
Michael Gruninger

Michael Gruninger

D-Index & Metrics

Computer Science

D-Index
36
Citations
16649
World Ranking
10960
National Ranking
437

Overview

Michael Gruninger is affiliated with the University of Toronto in Canada and has contributed extensively to research in computer science and related fields. Their academic work spans multiple subfields including artificial intelligence, computer vision and pattern recognition, management information systems, computer networks and communications, and information systems.

The main research fields of Michael Gruninger include:

  • Computer Science
  • Business, Management and Accounting

Within these broad domains, their subfields of focus involve:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Management Information Systems
  • Computer Networks and Communications
  • Information Systems

The core topics addressed in their work include:

  • Semantic Web and Ontologies
  • Biomedical Text Mining and Ontologies
  • Constraint Satisfaction and Optimization
  • Business Process Modeling and Analysis
  • 3D Shape Modeling and Analysis
  • Medical Image Segmentation Techniques
  • Research Data Management Practices

Michael Gruninger has published numerous papers in established venues, with frequent contributions to Applied Ontology among others. Selected recent publications are:

  • "Location ontologies based on mereotopological pluralism," 2020, Applied Ontology
  • "TUpper: A top level ontology within standards1," 2022, Applied Ontology
  • "Robust self supervised symmetric nonnegative matrix factorization to the graph clustering," 2025, Scientific Reports
  • "The FOUnt ontologies for quantities, units, and the physical world," 2020, Applied Ontology
  • "Medial Spectral Coordinates for 3D Shape Analysis," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The professional network of Michael Gruninger includes frequent collaborations with several researchers, namely:

  • Bahar Aameri
  • Carmen Chui
  • Yi Ru
  • Morteza Rezanejad
  • Dirk B. Walther

Publication venues where Michael Gruninger's work appears recurrently include:

  • Applied Ontology
  • arXiv (Cornell University)
  • Scientific Reports
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Transactions on Computational Logic

Best Publications

  • Ontologies: principles, methods and applications

    Mike Uschold;Michael Gruninger

  • Methodology for the Design and Evaluation of Ontologies

    M. Gruninger

  • An organisation ontology for enterprise modeling: preliminary concepts for linking structure and behaviour

    Mark S. Fox;Mihai Barbuceanu;Michael Gruninger

  • An organisation ontology for enterprise modelling: preliminary concepts for linking structure and behaviour

    M.S. Fox;M. Barbuceanu;M. Gruninger

  • Ontologies and semantics for seamless connectivity

    Michael Uschold;Michael Gruninger

  • ONTOLOGY Applications and Design

    Jintae Lee;Michael Gruninger

  • The Role of Competency Questions in Enterprise Engineering

    Michael Grüninger;Mark S. Fox

  • The Process Specification Language (PSL) Overview and Version 1.0 Specification

    Craig I. Schlenoff;Michael Gruninger;Florence Tissot;John Valois

  • The process specification language (PSL) theory and applications

    Michael Grüninger;Christopher Menzel

  • Ontologies to Support Process Integration in Enterprise Engineering

    Michael Grüninger;Katy Atefi;Mark S. Fox

  • Ontologies for Enterprise Modelling

    Mark S. Fox;Michael Grüninger

  • Ontologies for integrating engineering applications

    Mihai Ciocoiu;Dana S. Nau;Michael Gruninger

  • The Process Interchange Format and Framework

    Jintae Lee;Michael Gruninger;Yan Jin;Thomas Malone

  • An ontology of quality for enterprise modelling

    H.M. Kim;M.S. Fox;M. Gruninger

  • The Logic of Enterprise Modelling

    M. Gruninger;M. S. Fox

  • PSL: A semantic domain for flow models

    Conrad Bock;Michael Gruninger

  • Ontology of the Process Specification Language

    Michael Grüninger

  • Ontologies for Enterprise Integration.

    Mark S. Fox;Michael Grüninger

  • Manufacturing knowledge sharing in PLM: a progression towards the use of heavy weight ontologies

    R. I. M. Young;A. G. Gunendran;A. F. Cutting-Decelle;M. Gruninger

  • An Organization Ontology for Enterprise Modelling

    Mark S. Fox;Mihai Barbuceanu;Michael Gruninger;Jinxin Lin

  • Introduction

    Unknown

Frequent Co-Authors

Mark S. Fox
Mark S. Fox University of Toronto
Ram D. Sriram
Ram D. Sriram National Institute of Standards and Technology
Austin Tate
Austin Tate University of Edinburgh
J. Christopher Beck
J. Christopher Beck University of Toronto
Mark Chignell
Mark Chignell University of Toronto
Yan Jin
Yan Jin University of Southern California
Scott Sanner
Scott Sanner University of Toronto
Yun Peng
Yun Peng University of Maryland, Baltimore County
Aldo Gangemi
Aldo Gangemi University of Bologna
Valentina Presutti
Valentina Presutti University of Bologna

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