Lars Arge

7.2k total citations · 2 hit papers
109 papers, 3.8k citations indexed

About

Lars Arge is a scholar working on Signal Processing, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Lars Arge has authored 109 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Signal Processing, 43 papers in Artificial Intelligence and 39 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Lars Arge's work include Data Management and Algorithms (45 papers), Algorithms and Data Compression (38 papers) and Computational Geometry and Mesh Generation (38 papers). Lars Arge is often cited by papers focused on Data Management and Algorithms (45 papers), Algorithms and Data Compression (38 papers) and Computational Geometry and Mesh Generation (38 papers). Lars Arge collaborates with scholars based in Denmark, United States and Canada. Lars Arge's co-authors include Jens‐Christian Svenning, Jeffrey Scott Vitter, Pankaj K. Agarwal, Jeff Erickson, Peder Klith Bøcher, Bo Dalsgaard, Brody Sandel, Kevin J. Gaston, R. G. Davies and William J. Sutherland and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Remote Sensing of Environment.

In The Last Decade

Lars Arge

108 papers receiving 3.6k citations

Hit Papers

The Influence of Late Quaternary Climate-Change Velocity ... 2011 2026 2016 2021 2011 2019 200 400 600

Peers

Lars Arge
Comparison fields: 5 of 143
  • Signal Processing 1.1k
  • Computer Networks and Communications 922
  • Artificial Intelligence 726
  • Nature and Landscape Conservation 691
  • Global and Planetary Change 550
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Citations per field, relative to Lars Arge
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Citations per year, relative to Lars Arge
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Countries citing papers authored by Lars Arge

Since Specialization
Citations

This map shows the geographic impact of Lars Arge's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lars Arge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Arge more than expected).

Fields of papers citing papers by Lars Arge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Arge. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lars Arge. The network helps show where Lars Arge may publish in the future.

Co-authorship network of co-authors of Lars Arge

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Arge. A scholar is included among the top collaborators of Lars Arge based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lars Arge. Lars Arge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 39
2 47
3 2
4
Proceedings of the 34th international colloquium on Automata, Languages and Programming
28
5 1
6
I/o efficient algorithms and applications in geographic information systems
3
7 15
8
Engineering a Sorted List Data Structure for 32 Bit Key
3
9 22
10 142
11 15
12 24
13
Indexing Moving Points
68
14 15
15
Theory and Practice of I/O-Efficient Algorithms for Multidimensional Batched Searching Problems (Extended Abstract).
2
16
I/O-Efficient Algorithms for Contour-line Extraction and Planar Graph Blocking (Extended Abstract).
1
17
Scalable Sweeping-Based Spatial Join
120
18 21
19
Optimal Dynamic Interval Management in External Memory (extended abstract).
5
20
The Buffer Tree: A New Technique for Optimal I/O-Algorithms (Extended Abstract)
56

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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