Jean Flower

21 papers receiving 324 citations

Peers

Jean Flower
Comparison fields: 5 of 60
  • Software 63
  • Computer Vision and Pattern Recognition 190
  • Signal Processing 75
  • Computer Graphics and Computer-Aided Design 24
  • Artificial Intelligence 147
Replace Robert Zimmer with:
Robert Zimmer United Kingdom
Mattia D’Emidio Italy
Etsuya Shibayama Japan
Louis Feng United States
Hiroshi Hosobe Japan
Jerry L. Trahan United States
R. Venkatesh India
Vincent M. Weaver United States
Beat Gfeller Switzerland
Christopher S. Timperley United States
Jean Flower relative to Robert Zimmer United Kingdom Robert Zimmer's profile →
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Citations per year

Countries citing papers authored by Jean Flower

Since Specialization
Citations

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

Fields of papers citing papers by Jean Flower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Jean Flower, 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 Jean Flower Line = papers co-authored together Jean Flower links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200555
2 201929
3 200829
4 200726
5 200424
6 201223
7 200120
8 200518
9 200416
10 200514
11 200414
12 201313
13 200412
14 200511
15 20039
16
Generating proofs with spider diagrams using heuristics
20046
17 20134
18
Introducing 3D Venn and Euler Diagrams
20124
19 20033
20 20093

About Jean Flower

Jean Flower is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Software, having authored 22 papers that have together received 334 indexed citations. Recurring topics across this work include Data Visualization and Analytics (11 papers), Advanced Database Systems and Queries (7 papers), Semantic Web and Ontologies (6 papers), Model-Driven Software Engineering Techniques (4 papers), Logic, Reasoning, and Knowledge (4 papers), Data Management and Algorithms (4 papers), Constraint Satisfaction and Optimization (3 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Software (63 citations), Computer Vision and Pattern Recognition (190 citations), Signal Processing (75 citations), Computer Graphics and Computer-Aided Design (24 citations) and Artificial Intelligence (147 citations). Jean Flower has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Andrew Fish, John Howse, Gem Stapleton, Peter Rodgers, John Taylor, Judith Masthoff, Martin Marinov, Stephen R. Barley, John Taylor and Stuart Kent. Their work appears in journals such as Journal of Visual Languages & Computing, Journal of Automated Reasoning, IEEE Transactions on Visualization and Computer Graphics, Modern Language Journal and Software & Systems Modeling.

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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