Jaume Amores

1.5k total citations · 1 hit paper
23 papers, 992 citations indexed

About

Jaume Amores is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Jaume Amores has authored 23 papers receiving a total of 992 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 2 papers in Signal Processing. Recurrent topics in Jaume Amores's 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). Jaume Amores is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Image Retrieval and Classification Techniques (13 papers) and Video Surveillance and Tracking Methods (6 papers). Jaume Amores collaborates with scholars based in Spain, Netherlands and United States. Jaume Amores's co-authors include Antonio M. López, David Vázquez, Nicu Sebe, Petia Radeva, Alejandro González, Javier Marín, Bastian Leibe, Qi Tian, Jie Yu and Chenlu Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energy and Buildings and Artificial Intelligence.

In The Last Decade

Jaume Amores

22 papers receiving 956 citations

Hit Papers

Multiple instance classif... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaume Amores Spain 14 647 291 90 89 81 23 992
Mohammed Yakoob Siyal Singapore 15 657 1.0× 128 0.4× 76 0.8× 107 1.2× 79 1.0× 76 974
Sergey Ablameyko Belarus 12 568 0.9× 207 0.7× 29 0.3× 39 0.4× 92 1.1× 129 955
Jianlong Chang China 18 833 1.3× 533 1.8× 212 2.4× 63 0.7× 94 1.2× 37 1.4k
Songzhi Su China 14 548 0.8× 265 0.9× 32 0.4× 44 0.5× 60 0.7× 73 873
Feihu Zhang China 11 403 0.6× 275 0.9× 30 0.3× 47 0.5× 66 0.8× 18 843
Cairong Zhao China 21 956 1.5× 268 0.9× 79 0.9× 108 1.2× 145 1.8× 88 1.4k
Jianhua Zou China 16 568 0.9× 329 1.1× 63 0.7× 176 2.0× 54 0.7× 60 1.2k
Haofeng Chen United States 5 1.3k 2.0× 540 1.9× 79 0.9× 116 1.3× 102 1.3× 5 1.7k
Yong Zhao China 17 1.0k 1.6× 256 0.9× 68 0.8× 64 0.7× 352 4.3× 153 1.4k
Jiyang Xie China 16 550 0.9× 575 2.0× 58 0.6× 315 3.5× 92 1.1× 40 1.2k

Countries citing papers authored by Jaume Amores

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Jiang, Zhanhong, Michael J. Risbeck, Sugumar Murugesan, et al.. (2021). Building HVAC control with reinforcement learning for reduction of energy cost and demand charge. Energy and Buildings. 239. 110833–110833. 95 indexed citations
3.
Murugesan, San, Zihao Jiang, Michael J. Risbeck, et al.. (2020). Less is More. 20–23. 3 indexed citations
4.
Ruiz, Idoia, Bogdan Raducanu, Rakesh Mehta, & Jaume Amores. (2019). Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. Engineering Applications of Artificial Intelligence. 87. 103309–103309. 13 indexed citations
5.
González, Alejandro, David Vázquez, Antonio M. López, & Jaume Amores. (2016). On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts. IEEE Transactions on Cybernetics. 47(11). 3980–3990. 78 indexed citations
6.
González, Alejandro, et al.. (2015). Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection. 356–361. 64 indexed citations
7.
Amores, Jaume. (2013). Multiple instance classification: Review, taxonomy and comparative study. Artificial Intelligence. 201. 81–105. 368 indexed citations breakdown →
8.
Marín, Javier, David Vázquez, Antonio M. López, Jaume Amores, & Ludmila I. Kuncheva. (2013). Occlusion Handling via Random Subspace Classifiers for Human Detection. IEEE Transactions on Cybernetics. 44(3). 342–354. 41 indexed citations
9.
Marín, Javier, David Vázquez, Antonio M. López, Jaume Amores, & Bastian Leibe. (2013). Random Forests of Local Experts for Pedestrian Detection. 2592–2599. 90 indexed citations
11.
Yu, Jie, Jaume Amores, Nicu Sebe, Petia Radeva, & Qi Tian. (2008). Distance Learning for Similarity Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 30(3). 451–462. 48 indexed citations
12.
Amores, Jaume, Nicu Sebe, & Petia Radeva. (2007). Context-Based Object-Class Recognition and Retrieval by Generalized Correlograms. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(10). 1818–1833. 40 indexed citations
13.
Yu, Jie, Jaume Amores, Nicu Sebe, & Qi Tian. (2006). A New Study on Distance Metrics as Similarity Measurement. Institutional Research Information System (Università degli Studi di Trento). 533–536. 21 indexed citations
14.
Yu, Jie, Qi Tian, Jaume Amores, & Nicu Sebe. (2006). Toward Robust Distance Metric Analysis for Similarity Estimation. Institutional Research Information System (Università degli Studi di Trento). 1. 316–322. 29 indexed citations
15.
Amores, Jaume & Petia Radeva. (2005). Retrieval of IVUS images using contextual information and elastic matching. International Journal of Intelligent Systems. 20(5). 541–559. 4 indexed citations
16.
Amores, Jaume, Nicu Sebe, & Petia Radeva. (2005). Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors. Institutional Research Information System (Università degli Studi di Trento). 2. 769–774. 19 indexed citations
17.
Amores, Jaume, Nicu Sebe, & Petia Radeva. (2005). Boosting the distance estimation. Pattern Recognition Letters. 27(3). 201–209. 25 indexed citations
18.
Amores, Jaume & Petia Radeva. (2005). Registration and retrieval of highly elastic bodies using contextual information. Pattern Recognition Letters. 26(11). 1720–1731. 7 indexed citations
19.
Amores, Jaume & Petia Radeva. (2005). Medical image retrieval based on plaque appearance and image registration.. PubMed. 113. 26–54. 3 indexed citations
20.
Amores, Jaume, Nicu Sebe, Petia Radeva, Theo Gevers, & A.W.M. Smeulders. (2004). Boosting contextual information in content-based image retrieval. 31–38. 28 indexed citations

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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