Lee Howes

775 citations
18 papers · 364 indexed · h-index 8

Lee Howes

17 papers receiving 344 citations

Peers

Lee Howes
Comparison fields: 5 of 47
  • Hardware and Architecture 207
  • Computer Networks and Communications 156
  • Computer Vision and Pattern Recognition 94
  • Computational Theory and Mathematics 42
  • Artificial Intelligence 77
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Diego R. Llanos Spain
Sain-Zee Ueng United States
Emanuele Del Sozzo Italy
John Brunhaver United States
Marco Annaratone United States
Yuan Tang China
Andrew C. Ling Canada
Guoping Long China
Lipeng Wan United States
Neal Crago United States
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Citations per field
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Citations per year

Countries citing papers authored by Lee Howes

Since Specialization
Citations

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

Fields of papers citing papers by Lee Howes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Lee Howes, 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 Lee Howes Line = papers co-authored together Lee Howes links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201523
2 201532
3 20144
4 20144
5 20133
6 20131
7
Kite: Braided Parallelism for Heterogeneous Systems
20123
8
Heterogeneous Computing with OpenCL: Revised OpenCL 1.2 Edition
201233
9 201225
10
Introduction to GPU Radix Sort
20116
11
Decoupled Access/Execute Metaprogramming for GPU-Accelerated Systems
20110
12 201072
13 20101
14 20097
15 2009108
16 200611
17 20062
18 200429

About Lee Howes

Lee Howes is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Graphics and Computer-Aided Design, Software and Geology, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (17 papers), Embedded Systems Design Techniques (8 papers), Advanced Data Storage Technologies (7 papers), Interconnection Networks and Systems (4 papers), Distributed and Parallel Computing Systems (4 papers), Distributed systems and fault tolerance (2 papers), Logic, programming, and type systems (2 papers) and VLSI and FPGA Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (207 citations), Computer Networks and Communications (156 citations), Computer Vision and Pattern Recognition (94 citations), Computational Theory and Mathematics (42 citations) and Artificial Intelligence (77 citations). Lee Howes has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Wayne Luk, David B. Thomas, Benedict R. Gaster, Peter Y. K. Cheung, Wayne Luk, Derek R. Hower, Oskar Mencer, Ruymán Reyes, Perhaad Mistry and David Kaeli. Their work appears in journals such as IEEE Transactions on Computers, Computer and ACM Transactions on Architecture and Code Optimization.

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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