Vincent St-Amour

27 total papers · 427 total citations
17 papers, 239 citations indexed

About

Vincent St-Amour is a scholar working on Hardware and Architecture, Artificial Intelligence and Information Systems. According to data from OpenAlex, Vincent St-Amour has authored 17 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hardware and Architecture, 8 papers in Artificial Intelligence and 7 papers in Information Systems. Recurrent topics in Vincent St-Amour's work include Parallel Computing and Optimization Techniques (12 papers), Logic, programming, and type systems (8 papers) and Software Engineering Research (6 papers). Vincent St-Amour is often cited by papers focused on Parallel Computing and Optimization Techniques (12 papers), Logic, programming, and type systems (8 papers) and Software Engineering Research (6 papers). Vincent St-Amour collaborates with scholars based in United States, Mexico and India. Vincent St-Amour's co-authors include Matthias Felleisen, Sam Tobin-Hochstadt, Matthew Flatt, Ryan Culpepper, Robert Bruce Findler, Ben Greenman, Shu Guo, Simone Campanoni, Jan Vítek and Nikos Hardavellas and has published in prestigious journals such as ACM SIGPLAN Notices, ACM Transactions on Programming Languages and Systems and Proceedings of the ACM on Programming Languages.

In The Last Decade

Vincent St-Amour

16 papers receiving 225 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vincent St-Amour 178 112 104 102 49 17 239
James Hook 228 1.3× 113 1.0× 111 1.1× 77 0.8× 70 1.4× 20 317
Yaniv Eytani 151 0.8× 123 1.1× 145 1.4× 65 0.6× 87 1.8× 17 308
Ryan Culpepper 272 1.5× 128 1.1× 113 1.1× 110 1.1× 46 0.9× 16 308
James L. Elshoff 119 0.7× 177 1.6× 225 2.2× 52 0.5× 61 1.2× 15 311
Yoshihiko Futamura 228 1.3× 95 0.8× 81 0.8× 130 1.3× 50 1.0× 18 320
Matteo Cimini 191 1.1× 73 0.7× 86 0.8× 60 0.6× 25 0.5× 25 242
Pranav Garg 135 0.8× 148 1.3× 95 0.9× 55 0.5× 40 0.8× 21 264
Aseem Rastogi 199 1.1× 51 0.5× 111 1.1× 33 0.3× 45 0.9× 11 244
S. Gerhart 128 0.7× 168 1.5× 99 1.0× 40 0.4× 42 0.9× 15 293
Ira R. Forman 179 1.0× 80 0.7× 177 1.7× 51 0.5× 108 2.2× 27 308

Countries citing papers authored by Vincent St-Amour

Since Specialization
Citations

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

Fields of papers citing papers by Vincent St-Amour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent St-Amour. 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 Vincent St-Amour. The network helps show where Vincent St-Amour may publish in the future.

Co-authorship network of co-authors of Vincent St-Amour

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent St-Amour. A scholar is included among the top collaborators of Vincent St-Amour 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 Vincent St-Amour. Vincent St-Amour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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