Andrew Lumsdaine

11.1k citations
241 papers · 5.3k indexed · 1 hit paper · h-index 35
Topics
Parallel Computing and Optimization Techniques (107 papers)Distributed and Parallel Computing Systems (50 papers)Logic, programming, and type systems (40 papers)

In The Last Decade

Andrew Lumsdaine

226 papers receiving 5.0k citations

Hit Papers

MPI - The Complete Reference19982026200720161998100200300400

Peers

Andrew Lumsdaine
Comparison fields: 5 of 140
  • Computer Networks and Communications 2.2k
  • Hardware and Architecture 1.9k
  • Computer Vision and Pattern Recognition 1.6k
  • Artificial Intelligence 1.1k
  • Information Systems 1000
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by Andrew Lumsdaine

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Lumsdaine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Lumsdaine

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Lumsdaine. A scholar is included among the top collaborators of Andrew Lumsdaine 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 Andrew Lumsdaine. Andrew Lumsdaine 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
#WorkIndexed citations
1 1
2 1
3 1
4
Tabled Execution in Scheme
0
5 1
6 4
7 46
8 2
9 2
10 0
11 13
12 118
13 8
14
MultiArray: a Cpp library for generic programming with arrays
9
15
The Boost graph library : user guide and reference manual
380
16 7
17
Parallel Extensions to the Matrix Template Library.
1
18
Sparse Matrix Libraries in C++ for High Performance Architectures
4
19
Waveform Iterative Techniques for Device Transient Simulation on Parallel Machines.
5
20
Theoretical and practical aspects of parallel numerical algorithms for initial value problems, with applications
10

About Andrew Lumsdaine

Andrew Lumsdaine is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 241 papers that have together received 5.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (107 papers), Distributed and Parallel Computing Systems (50 papers) and Logic, programming, and type systems (40 papers). The work is most often cited by research in Hardware and Architecture (1.9k citations), Computer Networks and Communications (2.2k citations) and Computer Vision and Pattern Recognition (1.6k citations). Andrew Lumsdaine has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jeremy G. Siek, Torsten Hoefler, Todor Georgiev, Lie‐Quan Lee, Douglas Gregor, Timo Schneider, Jeremiah Willcock, Jeffrey H. Lang, Jaakko Järvi and Bruce Hendrickson. Their work appears in journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on Image Processing.

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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