Matthew LeGendre

761 citations
16 papers · 444 indexed · h-index 9
Topics
Parallel Computing and Optimization Techniques (13 papers)Advanced Data Storage Technologies (7 papers)Distributed and Parallel Computing Systems (6 papers)
Journals
Research Portal (Queen's University Belfast)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)IEEE International Conference on High Performance Computing, Data, and Analytics

In The Last Decade

Matthew LeGendre

16 papers receiving 430 citations

Peers

Matthew LeGendre
Comparison fields: 5 of 52
  • Computer Networks and Communications 261
  • Hardware and Architecture 215
  • Information Systems 137
  • Information Systems and Management 81
  • Artificial Intelligence 59
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Matthew LeGendre relative to Gregory L. Lee United States Gregory L. Lee's profile →
Citations per field
00.5×1.5×1.8×
Gregory L. Lee · 1×
Citations per year

Countries citing papers authored by Matthew LeGendre

Since Specialization
Citations

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

Fields of papers citing papers by Matthew LeGendre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew LeGendre

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew LeGendre. A scholar is included among the top collaborators of Matthew LeGendre 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 Matthew LeGendre. Matthew LeGendre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 10
3 22
4 2
5 61
6 2
7 1
8 169
9 71
10 3
11 26
12 1
13 1
14 19
15 8
16
PLTO: A Link-Time Optimizer for the Intel IA-32 Architecture
47

About Matthew LeGendre

Matthew LeGendre is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 16 papers that have together received 444 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (7 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Hardware and Architecture (215 citations), Information Systems and Management (81 citations) and Computer Networks and Communications (261 citations). Matthew LeGendre has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Adam Moody, Jeffrey K. Hollingsworth, Michael O. Lam, Martin Schulz, Gregory R. Andrews, Saumya Debray and Alfredo Giménez. Their work appears in journals such as Research Portal (Queen's University Belfast), OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and IEEE International Conference on High Performance Computing, Data, and Analytics.

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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