J.-Y. Bouguet
- Computer Vision and Pattern Recognition top 0.5%
- Aerospace Engineering top 2%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Co-authors
- Pietro PeronaGerman CheungM. HöllerTakeo KanadeS.B. GokturkRadek GrzeszczukBernd GirodCarlo Tomasi
- Topics
- Advanced Vision and Imaging (6 papers)Optical measurement and interference techniques (4 papers)Parallel Computing and Optimization Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Graphics and Computer-Aided Design
- Journals
- eScholarship (California Digital Library)
- Partner nations
- United StatesItalyGermany
In The Last Decade
J.-Y. Bouguet
11 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 1.4k
- Aerospace Engineering 474
- Human-Computer Interaction 161
- Artificial Intelligence 138
- Media Technology 130
Countries citing papers authored by J.-Y. Bouguet
This map shows the geographic impact of J.-Y. Bouguet'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 J.-Y. Bouguet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-Y. Bouguet more than expected).
Fields of papers citing papers by J.-Y. Bouguet
This network shows the impact of papers produced by J.-Y. Bouguet. 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 J.-Y. Bouguet. The network helps show where J.-Y. Bouguet may publish in the future.
Co-authorship network of co-authors of J.-Y. Bouguet
This figure shows the co-authorship network connecting the top 25 collaborators of J.-Y. Bouguet. A scholar is included among the top collaborators of J.-Y. Bouguet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J.-Y. Bouguet. J.-Y. Bouguet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 4 | |
| 3 | 38 | |
| 4 | 14 | |
| 5 | 59 | |
| 6 | 51 | |
| 7 | 249 | |
| 8 | 122 | |
| 9 | 41 | |
| 10 | 20 | |
| 11 | Pyramidal implementation of the Lucas Kanade feature tracker description of the algorithmbreakdown → | 1080 |
About J.-Y. Bouguet
J.-Y. Bouguet is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Hardware and Architecture, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (4 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (161 citations) and Computer Graphics and Computer-Aided Design (90 citations). J.-Y. Bouguet has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Pietro Perona, German Cheung, M. Höller, Takeo Kanade, S.B. Gokturk, Radek Grzeszczuk, Bernd Girod, Carlo Tomasi, Gary Bradski and Murali Annavaram. Their work appears in journals such as eScholarship (California Digital Library).
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.