Duncan Coutts

401 total citations
6 papers, 229 citations indexed

About

Duncan Coutts is a scholar working on Hardware and Architecture, Artificial Intelligence and Software. According to data from OpenAlex, Duncan Coutts has authored 6 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hardware and Architecture, 3 papers in Artificial Intelligence and 2 papers in Software. Recurrent topics in Duncan Coutts's work include Parallel Computing and Optimization Techniques (4 papers), Logic, programming, and type systems (3 papers) and Software Testing and Debugging Techniques (2 papers). Duncan Coutts is often cited by papers focused on Parallel Computing and Optimization Techniques (4 papers), Logic, programming, and type systems (3 papers) and Software Testing and Debugging Techniques (2 papers). Duncan Coutts collaborates with scholars based in Australia, United Kingdom and New Zealand. Duncan Coutts's co-authors include Don Stewart, Roman Leshchinskiy, Ting Wang, Mei Peng, Yusuf Özgür Çakmak and Andres Löh and has published in prestigious journals such as Obesity Reviews, ACM SIGPLAN Notices and Computing in Science & Engineering.

In The Last Decade

Duncan Coutts

6 papers receiving 213 citations

Peers

Duncan Coutts
A. Salzo Italy
Yuan Yu China
Sachin Taneja Singapore
T. Villmann Germany
Peter L. Bird United States
A. Salzo Italy
Duncan Coutts
Citations per year, relative to Duncan Coutts Duncan Coutts (= 1×) peers A. Salzo

Countries citing papers authored by Duncan Coutts

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Coutts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan Coutts

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

All Works

6 of 6 papers shown
1.
Peng, Mei, Duncan Coutts, Ting Wang, & Yusuf Özgür Çakmak. (2018). Systematic review of olfactory shifts related to obesity. Obesity Reviews. 20(2). 325–338. 87 indexed citations
2.
Coutts, Duncan & Andres Löh. (2012). Deterministic Parallel Programming with Haskell. Computing in Science & Engineering. 14(6). 36–43. 3 indexed citations
3.
Coutts, Duncan. (2009). Birth of the industrial Haskell group. 1–1. 1 indexed citations
4.
Coutts, Duncan, et al.. (2008). Haskell. 125–126. 3 indexed citations
5.
Coutts, Duncan, Roman Leshchinskiy, & Don Stewart. (2007). Stream fusion. 315–326. 128 indexed citations
6.
Coutts, Duncan, Roman Leshchinskiy, & Don Stewart. (2007). Stream fusion. ACM SIGPLAN Notices. 42(9). 315–326. 7 indexed citations

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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