Matthew Gaudet
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology
- Electrical and Electronic Engineering
- Co-authors
- Jörg SanderArthur ZimekRicardo J. G. B. CampelloJosé Nelson AmaralChristopher BartonPeng WuAmy WangRaúl Silvera
- Topics
- Parallel Computing and Optimization Techniques (9 papers)Distributed systems and fault tolerance (7 papers)Advanced Data Storage Technologies (6 papers)
- Journals
- IEEE Transactions on ComputersParallel ComputingACM SIGARCH Computer Architecture News
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Matthew Gaudet
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 245
- Hardware and Architecture 150
- Artificial Intelligence 130
- Experimental and Cognitive Psychology 43
- Electrical and Electronic Engineering 30
Countries citing papers authored by Matthew Gaudet
This map shows the geographic impact of Matthew Gaudet'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 Gaudet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Gaudet more than expected).
Fields of papers citing papers by Matthew Gaudet
This network shows the impact of papers produced by Matthew Gaudet. 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 Gaudet. The network helps show where Matthew Gaudet may publish in the future.
Co-authorship network of co-authors of Matthew Gaudet
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Gaudet. A scholar is included among the top collaborators of Matthew Gaudet 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 Gaudet. Matthew Gaudet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | Software variability through C++ static polymorphism: a case study of challenges and open problems in eclipse OMR. | 3 |
| 4 | 1 | |
| 5 | 54 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 116 | |
| 12 | 122 |
About Matthew Gaudet
Matthew Gaudet is a scholar working on Hardware and Architecture, Computer Networks and Communications and Software, having authored 12 papers that have together received 322 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (9 papers), Distributed systems and fault tolerance (7 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (150 citations), Computer Networks and Communications (245 citations) and Artificial Intelligence (130 citations). Matthew Gaudet has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Jörg Sander, Arthur Zimek, Ricardo J. G. B. Campello, José Nelson Amaral, Christopher Barton, Peng Wu, Amy Wang, Raúl Silvera, Martin Ohmacht and Maged Michael. Their work appears in journals such as IEEE Transactions on Computers, Parallel Computing and ACM SIGARCH Computer Architecture News.
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.