Corin Gurr

596 citations
12 papers · 144 · h-index 5

Impact in

Papers in

Corin Gurr

10 papers receiving 138 citations

Peers

Corin Gurr
Comparison fields: 5 of 44
  • Software 30
  • Computer Vision and Pattern Recognition 62
  • Human-Computer Interaction 14
  • Artificial Intelligence 78
  • Information Systems 47
Replace Shi-Kuo Chang with:
Shi-Kuo Chang United States
Krishna Subramanian United States
Thomas C. Eskridge United States
Katsiaryna Naliuka Italy
James Willans United Kingdom
Cécile Roisin France
Alexander Nareyek Singapore
Rich McDaniel United States
Hans-Jürgen Profitlich Germany
Michael Perscheid Germany
Corin Gurr relative to Shi-Kuo Chang United States Shi-Kuo Chang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Corin Gurr

Since Specialization
Citations

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

Fields of papers citing papers by Corin Gurr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Corin Gurr, 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 Corin Gurr Line = papers co-authored together Corin Gurr links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 199978
2 200021
3 199819
4
Towards fast and declarative meta-programming
19958
5 20026
6 19994
7 20013
8 19972
9 19971
10 19961
11
Visualising a Logic of Dependability Arguments.
20071
12
A Self-Applicable Partial Evaluator for the Logic Programming Language Godel
20150

About Corin Gurr

Corin Gurr is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software and Computer Networks and Communications, having authored 12 papers that have together received 144 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Semantic Web and Ontologies (5 papers), Software Engineering Research (5 papers), Model-Driven Software Engineering Techniques (2 papers), Advanced Software Engineering Methodologies (2 papers), Hermeneutics and Narrative Identity (1 paper), Logic, programming, and type systems (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Software (30 citations), Computer Vision and Pattern Recognition (62 citations), Human-Computer Interaction (14 citations), Artificial Intelligence (78 citations) and Information Systems (47 citations). Corin Gurr has collaborated with scholars based in United Kingdom. Frequent co-authors include Keith Stenning and John Lee. Their work appears in journals such as The Knowledge Engineering Review, Interacting with Computers, Informal Logic, Minds and Machines and Journal of Visual Languages & Computing.

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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