Lars Nyland

25 papers receiving 290 citations

Peers

Lars Nyland
Comparison fields: 5 of 58
  • Computer Graphics and Computer-Aided Design 108
  • Hardware and Architecture 78
  • Computer Vision and Pattern Recognition 165
  • Human-Computer Interaction 33
  • Software 20
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Citations per year

Countries citing papers authored by Lars Nyland

Since Specialization
Citations

This map shows the geographic impact of Lars Nyland'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 Nyland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Nyland more than expected).

Fields of papers citing papers by Lars Nyland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Nyland. 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 Nyland. The network helps show where Lars Nyland may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lars Nyland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lars Nyland Line = papers co-authored together Lars Nyland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201624
2 201622
3 20031
4 200312
5 20022
6 20026
7 20013
8 200042
9 20004
10 20009
11 199945
12
The Proteus System for the Development of Parallel Applications
19981
13
Capturing Dense Environmental Range Information with a Panning, Scanning Laser Rangefinder
19985
14
KHEPERA: a system for rapid implementation of domain specific languages
199723
15 199722
16 19960
17
An Introduction to Proteus, Version 0.9
19953
18
A Data-Parallel Implementation of the Adaptive Fast Multipole Algorithm 1
199312
19
The design of a prototyping programming language for parallel and sequential algorithms
19913
20 19871

About Lars Nyland

Lars Nyland is a scholar working on Computer Graphics and Computer-Aided Design, Chemical Health and Safety, Hardware and Architecture, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 26 papers that have together received 332 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (8 papers), Embedded Systems Design Techniques (5 papers), Distributed and Parallel Computing Systems (4 papers), Interconnection Networks and Systems (4 papers), Robotics and Sensor-Based Localization (4 papers) and VLSI and FPGA Design Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (108 citations), Hardware and Architecture (78 citations), Computer Vision and Pattern Recognition (165 citations), Human-Computer Interaction (33 citations) and Software (20 citations). Lars Nyland has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Anselmo Lastra, Jan F. Prins, Voicu Popescu, Zhen Lin, Huiyang Zhou, David McAllister, Henry Fuchs, Weichao Chen, Herman Towles and Greg Welch. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Software Engineering, Alternatives to Laboratory Animals, Journal of Parallel and Distributed Computing and IEEE Computer Graphics and Applications.

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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