Matthew Le
Impact in
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- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
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- Parallel Computing and Optimization Techniques
Papers in
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- Topic Modeling 2
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- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 2
- Co-authors
- James H. Faghmous (4 shared papers)Vipin Kumar (3 shared papers)Maximilian Nickel (2 shared papers)Y-Lan Boureau (1 shared paper)Matthew Fluet (5 shared papers)Snigdhansu Chatterjee (1 shared paper)Emilie Bruzelius (2 shared papers)Aaron Baum (2 shared papers)
- Journals
- ACM SIGPLAN Notices (2 papers)JAMA Network Open (1 paper)Journal of the American Medical Informatics Association (1 paper)American Journal of Ophthalmology (1 paper)Cureus (2 papers)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Matthew Le
15 papers receiving 151 citations
Peers
Comparison fields: 5 of 65
- Oceanography 30
- Hardware and Architecture 15
- Health Informatics 3
- Artificial Intelligence 55
- Computational Mathematics 1
Countries citing papers authored by Matthew Le
This map shows the geographic impact of Matthew Le'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 Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Le more than expected).
Fields of papers citing papers by Matthew Le
This network shows the impact of papers produced by Matthew Le. 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 Le. The network helps show where Matthew Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 31 | |
| 2 | 2019 | 25 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 16 | |
| 6 | 2013 | 12 | |
| 7 | 2023 | 8 | |
| 8 | 2015 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2014 | 5 | |
| 11 | 2025 | 2 | |
| 12 | 2016 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2016 | 0 | |
| 17 | 2025 | 0 |
About Matthew Le
Matthew Le is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Oceanography and Molecular Biology, having authored 17 papers that have together received 158 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed systems and fault tolerance (4 papers), Oceanographic and Atmospheric Processes (3 papers), Multimodal Machine Learning Applications (2 papers), Cognitive Functions and Memory (2 papers), Advanced Data Storage Technologies (2 papers), Topic Modeling (2 papers) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Oceanography (30 citations), Hardware and Architecture (15 citations), Health Informatics (3 citations), Artificial Intelligence (55 citations) and Computational Mathematics (1 citation). Matthew Le has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include James H. Faghmous, Vipin Kumar, Maximilian Nickel, Y-Lan Boureau, Matthew Fluet, Snigdhansu Chatterjee, Emilie Bruzelius, Aaron Baum, Patrick Doupé and Joseph R. Scarpa. Their work appears in journals such as ACM SIGPLAN Notices, JAMA Network Open, Journal of the American Medical Informatics Association, American Journal of Ophthalmology and Cureus.
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.