Matthew D. Sinclair

776 citations
38 papers · 526 · h-index 13

Impact in

    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques
    • Advanced Data Storage Technologies
    • Interconnection Networks and Systems
    • Distributed and Parallel Computing Systems
    • Distributed systems and fault tolerance

Papers in

Matthew D. Sinclair

35 papers receiving 501 citations

Peers

Matthew D. Sinclair
Comparison fields: 5 of 48
  • Hardware and Architecture 390
  • Computer Networks and Communications 330
  • Computational Mathematics 4
  • Computer Vision and Pattern Recognition 74
  • Information Systems 78
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Jason Lowe-Power United States
Milo Tomašević Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Matthew D. Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew D. Sinclair, 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 Matthew D. Sinclair Line = papers co-authored together Matthew D. Sinclair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201951
2 201849
3 201547
4 201540
5 201140
6 201833
7 201827
8 201725
9 202222
10 201717
11 201616
12 202015
13 202214
14 202112
15 202312
16 201510
17 201110
18
Porting CMP Benchmarks to GPUs
201110
19
Challenge benchmarks that must be conquered to sustain the gpu revolution
201110
20 20228

About Matthew D. Sinclair

Matthew D. Sinclair is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 38 papers that have together received 526 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Advanced Data Storage Technologies (13 papers), Cloud Computing and Resource Management (11 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Software System Performance and Reliability (2 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (390 citations), Computer Networks and Communications (330 citations), Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (74 citations) and Information Systems (78 citations). Matthew D. Sinclair has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sarita V. Adve, Rakesh Komuravelli, Karthikeyan Sankaralingam, Vikram Adve, Timothy G. Rogers, Muhammad Huzaifa, Shaizeen Aga, Nuwan Jayasena, Shuou Nomura and Chen-Han Ho. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, IEEE Transactions on Parallel and Distributed Systems, ACM Transactions on Architecture and Code Optimization and Lecture notes in computer science.

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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