World's Best Scientists 2026 revealed!
Marc van Kreveld

Marc van Kreveld

D-Index & Metrics

Computer Science

D-Index
44
Citations
16049
World Ranking
7384
National Ranking
120

Mathematics

D-Index
43
Citations
15592
World Ranking
1644
National Ranking
21

Overview

Marc van Kreveld is a researcher affiliated with Utrecht University in the Netherlands. Their work spans multiple fields including Computer Science and Engineering, with significant emphasis on areas such as Computational Geometry and Mesh Generation, Digital Image Processing Techniques, and Data Management and Algorithms.

The primary fields of study for van Kreveld include:

  • Computer Science
  • Engineering

Their research focuses on several subfields including:

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Computational Theory and Mathematics
  • Signal Processing

Main topics covered in van Kreveld's work include:

  • Computational Geometry and Mesh Generation
  • Digital Image Processing Techniques
  • Data Management and Algorithms
  • Modular Robots and Swarm Intelligence
  • Human Mobility and Location-Based Analysis
  • Optimization and Search Problems
  • Advanced Manufacturing and Logistics Optimization

The scientist has published papers in a range of venues, with frequent contributions to the following:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Transactions on Spatial Algorithms and Systems
  • Computers & Geosciences
  • Environmental Modelling & Software

Recent papers authored or co-authored by van Kreveld include:

  • "Mobility Data Science: Perspectives and Challenges," 2024, ACM Transactions on Spatial Algorithms and Systems
  • "Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks," 2022, Computers & Geosciences
  • "An environmental modelling framework based on asynchronous many-tasks: Scalability and usability," 2021, Environmental Modelling & Software
  • "Space-Aware Reconfiguration," 2022, Discrete & Computational Geometry
  • "Towards Mobility Data Science (Vision Paper)," 2023, arXiv (Cornell University)

Van Kreveld collaborates regularly with other researchers, including:

  • Bettina Speckmann
  • Jordi L. Vermeulen
  • Frank Staals
  • Tim Ophelders
  • Goce Trajcevski

Best Publications

  • Computational Geometry: Algorithms and Applications

    Mark de Berg;Otfried Cheong;Marc van Kreveld;Mark Overmars

  • Computational geometry: algorithms and applications, 3rd Edition

    Unknown

  • Contour trees and small seed sets for isosurface traversal

    Marc van Kreveld;René van Oostrum;Chandrajit Bajaj;Valerio Pascucci

  • Computing longest duration flocks in trajectory data

    Joachim Gudmundsson;Marc van Kreveld

  • Label placement by maximum independent set in rectangles

    Pankaj K. Agarwal;Marc van Kreveld;Subhash Suri

  • Finding REMO — Detecting Relative Motion Patterns in Geospatial Lifelines

    Patrick Laube;Marc J. van Kreveld;Stephan Imfeld

  • On rectangular cartograms

    Marc van Kreveld;Bettina Speckmann

  • Spatial information retrieval and geographical ontologies an overview of the SPIRIT project

    Christopher B. Jones;R. Purves;A. Ruas;M. Sanderson

  • Point labeling with sliding labels

    Marc van Kreveld;Tycho Strijk;Alexander Wolff

  • Efficient detection of motion patterns in spatio-temporal data sets

    Joachim Gudmundsson;Marc van Kreveld;Bettina Speckmann

  • Finding long and similar parts of trajectories

    Kevin Buchin;Maike Buchin;Marc van Kreveld;Jun Luo

  • Segmenting trajectories : a framework and algorithms using spatiotemporal criteria

    Maike Buchin;Anne Driemel;Marc J. van Kreveld;Vera Sacristán

  • Largest and Smallest Convex Hulls for Imprecise Points

    Maarten Löffler;Marc van Kreveld

  • Largest bounding box, smallest diameter, and related problems on imprecise points

    Maarten Löffler;Marc van Kreveld

  • Efficient Detection of Patterns in 2D Trajectories of Moving Points

    Joachim Gudmundsson;Marc Kreveld;Bettina Speckmann

  • Computational Geometry

    Unknown

  • Trajectory grouping structure

    KA Kevin Buchin;ME Maike Buchin;MJ Marc van Kreveld;B Bettina Speckmann

  • Digital Elevation Models and TIN Algorithms

    Marc J. van Kreveld

  • Web-based delineation of imprecise regions

    Avi Arampatzis;Marc J. van Kreveld;Iris Reinbacher;Christopher B. Jones

  • Kelp Diagrams: Point Set Membership Visualization

    Kasper Dinkla;Marc J. van Kreveld;Bettina Speckmann;Michel A. Westenberg

  • Higher order Delaunay triangulations

    Joachim Gudmundsson;Mikael Hammar;Marc van Kreveld

  • On fat partitioning, fat covering and the union size of polygons

    Marc van Kreveld

Frequent Co-Authors

Bettina Speckmann
Bettina Speckmann Eindhoven University of Technology
Mark de Berg
Mark de Berg Eindhoven University of Technology
Mark H. Overmars
Mark H. Overmars Utrecht University
Joachim Gudmundsson
Joachim Gudmundsson University of Sydney
Jack Snoeyink
Jack Snoeyink University of North Carolina at Chapel Hill
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Boris Aronov
Boris Aronov New York University
Prosenjit Bose
Prosenjit Bose Carleton University
Joseph S. B. Mitchell
Joseph S. B. Mitchell Stony Brook University
Hans L. Bodlaender
Hans L. Bodlaender Utrecht University

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