Jaume Amores
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Building and Construction top 10%
- Electrical and Electronic Engineering
- Media Technology top 5%
- Co-authors
- Nicu SebeAntonio M. LópezDavid VázquezPetia RadevaAlejandro GonzálezJavier MarínBastian LeibeQi Tian
- Topics
- Advanced Image and Video Retrieval Techniques (14 papers)Image Retrieval and Classification Techniques (13 papers)Video Surveillance and Tracking Methods (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceEnergy and BuildingsArtificial Intelligence
- Partner nations
- SpainNetherlandsUnited States
In The Last Decade
Jaume Amores
22 papers receiving 956 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 647
- Artificial Intelligence 291
- Building and Construction 90
- Electrical and Electronic Engineering 89
- Media Technology 81
Countries citing papers authored by Jaume Amores
This map shows the geographic impact of Jaume Amores'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 Jaume Amores with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaume Amores more than expected).
Fields of papers citing papers by Jaume Amores
This network shows the impact of papers produced by Jaume Amores. 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 Jaume Amores. The network helps show where Jaume Amores may publish in the future.
Co-authorship network of co-authors of Jaume Amores
This figure shows the co-authorship network connecting the top 25 collaborators of Jaume Amores. A scholar is included among the top collaborators of Jaume Amores 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 Jaume Amores. Jaume Amores is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 95 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 78 | |
| 6 | 64 | |
| 7 | Multiple instance classification: Review, taxonomy and comparative studybreakdown → | 368 |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 48 | |
| 11 | 40 | |
| 12 | 1 | |
| 13 | 21 | |
| 14 | 29 | |
| 15 | 4 | |
| 16 | 25 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | Medical image retrieval based on plaque appearance and image registration. | 3 |
| 20 | 28 |
About Jaume Amores
Jaume Amores is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 23 papers that have together received 992 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (13 papers) and Video Surveillance and Tracking Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (647 citations), Media Technology (81 citations) and Artificial Intelligence (291 citations). Jaume Amores has collaborated with scholars based in Spain, Netherlands and United States. Frequent co-authors include Nicu Sebe, Antonio M. López, David Vázquez, Petia Radeva, Alejandro González, Javier Marín, Bastian Leibe, Qi Tian, Jie Yu and Michael J. Risbeck. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energy and Buildings and Artificial Intelligence.
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.