Gem Stapleton

115 papers receiving 1.1k citations

Peers

Gem Stapleton
Comparison fields: 5 of 85
  • Software 127
  • Computer Vision and Pattern Recognition 612
  • Signal Processing 228
  • Artificial Intelligence 626
  • Computer Networks and Communications 336
Replace John Howse with:
John Howse United Kingdom
Andrew Fish United Kingdom
Alan Smaill United Kingdom
Julie Sussman United States
E. Koutsofios United States
Gordon Woodhull United States
Kent B. Wittenburg United States
Oliver Kutz Germany
John Aycock Canada
Eleftherios Koutsofios United States
Gem Stapleton relative to John Howse United Kingdom John Howse's profile →
Citations per field
00.5×1.5×2.1×
John Howse · 1×
Citations per year

Countries citing papers authored by Gem Stapleton

Since Specialization
Citations

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

Fields of papers citing papers by Gem Stapleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gem Stapleton, 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 Gem Stapleton Line = papers co-authored together Gem Stapleton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 200446
3 201141
4 201041
5 201539
6 200738
7 201438
8 200537
9 201733
10 200530
11 200428
12 201227
13 201424
14
A constraint diagram reasoning system
200323
15 200822
16 201022
17
Incoporating negation into visual logics: a case study using Euler diagrams
200720
18 200820
19 201118
20 201018

About Gem Stapleton

Gem Stapleton is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Software, Computer Networks and Communications and Signal Processing, having authored 120 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (74 papers), Semantic Web and Ontologies (36 papers), Advanced Database Systems and Queries (26 papers), Data Management and Algorithms (19 papers), Model-Driven Software Engineering Techniques (17 papers), Logic, programming, and type systems (12 papers), Constraint Satisfaction and Optimization (11 papers) and Advanced Text Analysis Techniques (10 papers). The work is most often cited by research in Software (127 citations), Computer Vision and Pattern Recognition (612 citations), Signal Processing (228 citations), Artificial Intelligence (626 citations) and Computer Networks and Communications (336 citations). Gem Stapleton has collaborated with scholars based in United Kingdom, Finland and New Zealand. Frequent co-authors include John Howse, Peter J. Rodgers, Jean Flower, John Patrick Taylor, Peter Chapman, Mateja Jamnik, Aidan J. Delaney, Judith Masthoff, ANDREW P. BLAKE and Leishi Zhang. Their work appears in journals such as Journal of Visual Languages & Computing, Lecture notes in computer science, Journal of Logic and Computation, Journal of Logic Language and Information and IEEE Transactions on Visualization and Computer Graphics.

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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