Cormac Flanagan

8.5k total citations · 1 hit paper
93 papers, 4.4k citations indexed

About

Cormac Flanagan is a scholar working on Artificial Intelligence, Hardware and Architecture and Information Systems. According to data from OpenAlex, Cormac Flanagan has authored 93 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 40 papers in Hardware and Architecture and 39 papers in Information Systems. Recurrent topics in Cormac Flanagan's work include Logic, programming, and type systems (59 papers), Parallel Computing and Optimization Techniques (40 papers) and Software Engineering Research (33 papers). Cormac Flanagan is often cited by papers focused on Logic, programming, and type systems (59 papers), Parallel Computing and Optimization Techniques (40 papers) and Software Engineering Research (33 papers). Cormac Flanagan collaborates with scholars based in United States, Sweden and Mexico. Cormac Flanagan's co-authors include Shaz Qadeer, Stephen N. Freund, Matthias Felleisen, K. Rustan M. Leino, James B. Saxe, Greg Nelson, Raymie Stata, Mark Lillibridge, Amr Sabry and Bruce F. Duba and has published in prestigious journals such as IEEE Transactions on Software Engineering, Theoretical Computer Science and ACM SIGPLAN Notices.

In The Last Decade

Cormac Flanagan

89 papers receiving 4.1k citations

Hit Papers

Extended static checking for Java 2002 2026 2010 2018 2002 250 500 750

Peers

Cormac Flanagan
Comparison fields: 5 of 60
  • Artificial Intelligence 2.8k
  • Hardware and Architecture 1.8k
  • Computer Networks and Communications 1.6k
  • Software 1.5k
  • Computational Theory and Mathematics 1.4k
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Citations per field, relative to Cormac Flanagan
Cormac Flanagan · 1×
Citations per year, relative to Cormac Flanagan
Cormac Flanagan · 1×

Countries citing papers authored by Cormac Flanagan

Since Specialization
Citations

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

Fields of papers citing papers by Cormac Flanagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cormac Flanagan. 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 Cormac Flanagan. The network helps show where Cormac Flanagan may publish in the future.

Co-authorship network of co-authors of Cormac Flanagan

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 7
3 72
4 1
5 40
6
Space-Efficient Gradual Typing.
35
7
Unifying Hybrid Types and Contracts.
18
8
Sage: Unified Hybrid Checking for First-Class Types, General Refinement Types, and Dynamic (Extended Report)
13
9 14
10 34
11 18
12 188
13
A Modular Checker for Multithreaded Programs
1
14 99
15 18
16 17
17 8
18
Static Debugging: Browsing the Web of Program Invariants.
3
19
The Semantics of Futures
4
20 4

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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