Kathryn E. Gray

710 citations
17 papers · 404 · h-index 11

Impact in

Papers in

Kathryn E. Gray

17 papers receiving 380 citations

Peers

Kathryn E. Gray
Comparison fields: 5 of 31
  • Hardware and Architecture 144
  • Software 77
  • Computer Science Applications 49
  • Artificial Intelligence 251
  • Signal Processing 57
Replace Nikolaos Papaspyrou with:
Nikolaos Papaspyrou Greece
Peter-Michael Osera United States
Olivier Zendra France
Tim Nelson United States
Sebastian Nanz Switzerland
George Balatsouras Greece
Petr Maj United States
Jorge Sousa Pinto Portugal
Brijesh Dongol United Kingdom
Hila Peleg Israel
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Citations per field
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Citations per year

Countries citing papers authored by Kathryn E. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn E. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn E. Gray. 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 Kathryn E. Gray. The network helps show where Kathryn E. Gray may publish in the future.

Co-authors

The 23 scholars most cited alongside Kathryn E. Gray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kathryn E. Gray Line = papers co-authored together Kathryn E. Gray links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201988
2 201454
3 200549
4 200347
5 201532
6 201423
7 200823
8 199920
9 201616
10 201413
11 200612
12 20067
13 20055
14
Interoperability in a Scripted World: Putting Inheritance & Prototypes Together
20104
15 20094
16
Compiling Java to PLT Scheme
20044
17 20173

About Kathryn E. Gray

Kathryn E. Gray is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Information Systems and Computer Science Applications, having authored 17 papers that have together received 404 indexed citations. Recurring topics across this work include Logic, programming, and type systems (9 papers), Parallel Computing and Optimization Techniques (8 papers), Distributed systems and fault tolerance (6 papers), Software Engineering Research (4 papers), Security and Verification in Computing (4 papers), Software Testing and Debugging Techniques (3 papers), Teaching and Learning Programming (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Hardware and Architecture (144 citations), Software (77 citations), Computer Science Applications (49 citations), Artificial Intelligence (251 citations) and Signal Processing (57 citations). Kathryn E. Gray has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Matthew Flatt, Peter Sewell, Dominic P. Mulligan, Robert Bruce Findler, Christopher Pulte, Scott Owens, Tom Ridge, Viera K. Proulx, Shaked Flur and Susmit Sarkar. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Lecture notes in computer science, ACM SIGCSE Bulletin and St Andrews Research Repository (St Andrews Research Repository).

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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