Nicholas D. Matsakis
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Software top 5%
- Co-authors
- Massimo AnconaDavide AnconaThomas R. GrossArun ChauhanAndrew LumsdaineZachary AndersonPeter JensenDavid Herman
- Topics
- Parallel Computing and Optimization Techniques (11 papers)Distributed systems and fault tolerance (4 papers)Logic, programming, and type systems (4 papers)
- Journals
- Repository for Publications and Research Data (ETH Zurich)ACM SIGAda Ada Letters
- Partner nations
- SwitzerlandUnited StatesItaly
In The Last Decade
Nicholas D. Matsakis
10 papers receiving 396 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 234
- Hardware and Architecture 168
- Computer Networks and Communications 148
- Information Systems 130
- Software 77
Countries citing papers authored by Nicholas D. Matsakis
This map shows the geographic impact of Nicholas D. Matsakis'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 Nicholas D. Matsakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas D. Matsakis more than expected).
Fields of papers citing papers by Nicholas D. Matsakis
This network shows the impact of papers produced by Nicholas D. Matsakis. 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 Nicholas D. Matsakis. The network helps show where Nicholas D. Matsakis may publish in the future.
Co-authorship network of co-authors of Nicholas D. Matsakis
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas D. Matsakis. A scholar is included among the top collaborators of Nicholas D. Matsakis 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 Nicholas D. Matsakis. Nicholas D. Matsakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 144 | |
| 3 | 3 | |
| 4 | 127 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | Reflective parallel programming: extensible and high-level control of runtime, compiler, and application interaction | 3 |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 94 |
About Nicholas D. Matsakis
Nicholas D. Matsakis is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 11 papers that have together received 409 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Distributed systems and fault tolerance (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Hardware and Architecture (168 citations), Software (77 citations) and Artificial Intelligence (234 citations). Nicholas D. Matsakis has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Massimo Ancona, Davide Ancona, Thomas R. Gross, Arun Chauhan, Andrew Lumsdaine, Zachary Anderson, Peter Jensen and David Herman. Their work appears in journals such as Repository for Publications and Research Data (ETH Zurich) and ACM SIGAda Ada Letters.
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.