Patrick Sayd

1.3k citations
20 papers · 490 indexed · h-index 11

Patrick Sayd

20 papers receiving 464 citations

Peers

Patrick Sayd
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 415
  • Geology 74
  • Aerospace Engineering 258
  • Computer Graphics and Computer-Aided Design 25
  • Human-Computer Interaction 32
Replace Vincent Gay‐Bellile with:
Vincent Gay‐Bellile France
L. Vacchetti Switzerland
Carl Yuheng Ren United Kingdom
Kyungdon Joo South Korea
Diego Thomas Japan
Yonggen Ling China
Federico Pernici Italy
Tomokazu Sato Japan
Siavash Zokai United States
Gaku Narita Japan
Patrick Sayd relative to Vincent Gay‐Bellile France Vincent Gay‐Bellile's profile →
Citations per field
00.5×1.5×
Vincent Gay‐Bellile · 1×
Citations per year

Countries citing papers authored by Patrick Sayd

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Sayd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 23 scholars most cited alongside Patrick Sayd, 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 Patrick Sayd Line = papers co-authored together Patrick Sayd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201514
2 20129
3 20122
4 20124
5 201010
6 201017
7 20093
8 2008139
9 200851
10 200815
11 200884
12 20078
13 200714
14 20071
15 200610
16 200633
17 200432
18 200329
19 20024
20
A DYNAMIC VISION ALGORITHM TO RECOVER THE 3D SHAPE OF A NON-STRUCTURED ROAD
199811

About Patrick Sayd

Patrick Sayd is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Geology, having authored 20 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (9 papers), Robotics and Sensor-Based Localization (8 papers), Video Surveillance and Tracking Methods (6 papers), Optical measurement and interference techniques (6 papers), 3D Surveying and Cultural Heritage (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Optical Sensing Technologies (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Geology (74 citations) and Aerospace Engineering (258 citations). Patrick Sayd has collaborated with scholars based in France, Tunisia and Poland. Frequent co-authors include Vincent Gay‐Bellile, Adrien Bartoli, Michel Dhome, Maxime Lhuillier, Fabien Dekeyser, Umberto Castellani, Søren Ingvor Olsen, Manjula Patel, Krzysztof Walczak and Martin White. Their work appears in journals such as Image and Vision Computing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IET Computer Vision, Pure (University of Bath) and Eurographics.

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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