World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7713
World Ranking
6573
National Ranking
22

Research.com Recognitions

  • 2012 - ACM Fellow For contributions to massive data algorithmics
  • 2009 - ACM Distinguished Member

Overview

Lars Arge was affiliated with Aarhus University in Denmark and contributed to the fields of environmental science and spatial algorithms during their career. Their work was distributed primarily in environmental research as well as computational spatial analysis, covering topics such as urban green space and health, noise effects and management, and climate change impacts on health.

Their recent publications included studies and papers spanning from 2020 to 2022. Some notable works were:

  • Associations between growing up in natural environments and subsequent psychiatric disorders in Denmark (2020, Environmental Research)
  • Association Between Childhood Green Space, Genetic Liability, and the Incidence of Schizophrenia (2020, Schizophrenia Bulletin)
  • A life course approach to understanding associations between natural environments and mental well-being for the Danish blood donor cohort (2021, Health & Place)
  • 1D and 2D Flow Routing on a Terrain (2022, ACM Transactions on Spatial Algorithms and Systems)
  • Sea-Rise Flooding on Massive Dynamic Terrains (2020, Leibniz-Zentrum für Informatik [Schloss Dagstuhl])

The coauthors who frequently collaborated with Lars Arge included Kristine Engemann, Jens-Christian Svenning, Christian Erikstrup, Ole Hertel, and Preben Bo Mortensen.

Their research was published in various venues, among which the most frequent were:

  • Environmental Research
  • Schizophrenia Bulletin
  • Health & Place
  • ACM Transactions on Spatial Algorithms and Systems
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Lars Arge's work primarily focused on topics such as urban green space and health, noise effects and management, land use and ecosystem services, health disparities and outcomes, psychological well-being and life satisfaction, and climate change and health impacts.

Within environmental science, they contributed to subfields including health, toxicology and mutagenesis, global and planetary change, speech and hearing, general health professions, and health overall.

Recognition during their career included being named an ACM Fellow in 2012 for contributions to massive data algorithmics and receiving the ACM Distinguished Member award in 2009.

Best Publications

  • Indexing moving points

    Pankaj K. Agarwal;Lars Arge;Jeff Erickson

  • The priority R-tree: A practically efficient and worst-case optimal R-tree

    Lars Arge;Mark De Berg;Herman Haverkort;Ke Yi

  • The buffer tree: A new technique for optimal I/O-algorithms

    Lars Arge

  • Scalable Sweeping-Based Spatial Join

    Lars Arge;Octavian Procopiuc;Sridhar Ramaswamy;Torsten Suel

  • Topography as a driver of local terrestrial vascular plant diversity patterns

    Jesper Erenskjold Moeslund;Lars Arge;Peder Klith Bøcher;Tommy Dalgaard

  • The Buffer Tree: A Technique for Designing Batched External Data Structures

    Lars Arge

  • Optimal dynamic interval management in external memory

    L. Arge;J.S. Vitter

  • On two-dimensional indexability and optimal range search indexing

    Lars Arge;Vasilis Samoladas;Jeffrey Scott Vitter

  • Efficient Flow Computation on Massive Grid Terrain Datasets

    Lars Arge;Jeffrey S. Chase;Patrick Halpin;Laura Toma

  • Indexing moving points (extended abstract)

    Pankaj K. Agarwal;Lars Arge;Jeff Erickson

  • Topographically controlled soil moisture drives plant diversity patterns within grasslands

    Jesper Erenskjold Moeslund;Lars Arge;Peder Klith Bøcher;Tommy Dalgaard

  • Optimal External Memory Interval Management

    Lars Arge;Jeffrey Scott Vitter

  • The Priority R-tree: a practically efficient and worst-case optimal R-tree

    Lars Arge;Mark de Berg;Herman J. Haverkort;Ke Yi

  • Bkd-Tree: A Dynamic Scalable kd-Tree

    Octavian Procopiuc;Pankaj K. Agarwal;Lars Arge;Jeffrey Scott Vitter

  • Fundamental parallel algorithms for private-cache chip multiprocessors

    Lars Arge;Michael T. Goodrich;Michael Nelson;Nodari Sitchinava

  • Cache-oblivious priority queue and graph algorithm applications

    Lars Arge;Michael A. Bender;Erik D. Demaine;Bryan Holland-Minkley

  • External memory data structures

    Lars Arge

  • The Buffer Tree: A New Technique for Optimal I/O-Algorithms (Extended Abstract)

    Lars Arge

  • Topographically controlled soil moisture is the primary driver of local vegetation patterns across a lowland region

    Jesper E Moeslund;Lars Arge;Peder K Bøcher;Tommy Dalgaard

  • Algorithms – ESA 2007

    Lars Arge;Michael Hoffmann;Emo Welzl

  • The Buffer Tree: A New Technique for Optimal I/O Algorithms

    Lars Arge

Frequent Co-Authors

Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Jeffrey Scott Vitter
Jeffrey Scott Vitter University of Mississippi
Ke Yi
Ke Yi Hong Kong University of Science and Technology
Gerth Stølting Brodal
Gerth Stølting Brodal Aarhus University
Jeff Erickson
Jeff Erickson University of Illinois at Urbana-Champaign
Michael T. Goodrich
Michael T. Goodrich University of California, Irvine
Mark de Berg
Mark de Berg Eindhoven University of Technology
Michael A. Bender
Michael A. Bender Stony Brook University
Torsten Suel
Torsten Suel New York University
William J. Sutherland
William J. Sutherland University of Cambridge

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Best Scientists Citing Lars Arge