Felipe Lumbreras

1.4k total citations
50 papers, 852 citations indexed

About

Felipe Lumbreras is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Automotive Engineering. According to data from OpenAlex, Felipe Lumbreras has authored 50 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 9 papers in Media Technology and 6 papers in Automotive Engineering. Recurrent topics in Felipe Lumbreras's work include Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (8 papers) and Autonomous Vehicle Technology and Safety (6 papers). Felipe Lumbreras is often cited by papers focused on Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (8 papers) and Autonomous Vehicle Technology and Safety (6 papers). Felipe Lumbreras collaborates with scholars based in Spain, United States and Chile. Felipe Lumbreras's co-authors include Antonio M. López, Joan Serrat, Ángel D. Sappa, J.J. Villanueva, T. Graf, José M. Alvarez, Ricardo Toledo, Cristhian Aguilera, Theo Gevers and Daniel Ponsa and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Felipe Lumbreras

50 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Felipe Lumbreras Spain 14 611 189 178 114 89 50 852
Markus Mathias Germany 11 1.3k 2.1× 167 0.9× 182 1.0× 190 1.7× 125 1.4× 17 1.6k
Neil Smith Saudi Arabia 12 721 1.2× 333 1.8× 29 0.2× 32 0.3× 118 1.3× 28 1.1k
Xinxin Hu China 10 875 1.4× 182 1.0× 68 0.4× 161 1.4× 87 1.0× 23 1.1k
Gellért Máttyus Canada 11 789 1.3× 254 1.3× 156 0.9× 243 2.1× 381 4.3× 14 1.2k
Hanyu Li China 7 688 1.1× 102 0.5× 118 0.7× 195 1.7× 58 0.7× 14 831
Ze Yang China 8 819 1.3× 233 1.2× 54 0.3× 111 1.0× 85 1.0× 20 1.1k
David Acuna Canada 7 603 1.0× 63 0.3× 30 0.2× 126 1.1× 99 1.1× 13 867
Germán Ros Spain 6 1.3k 2.1× 230 1.2× 154 0.9× 269 2.4× 129 1.4× 12 1.7k
Jiaolong Xu Spain 13 681 1.1× 131 0.7× 92 0.5× 126 1.1× 52 0.6× 26 887

Countries citing papers authored by Felipe Lumbreras

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Lumbreras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Lumbreras

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Lumbreras. A scholar is included among the top collaborators of Felipe Lumbreras 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 Felipe Lumbreras. Felipe Lumbreras 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
1.
Benavente, Robert, et al.. (2025). HyDA-Net: A Hybrid Dense Attention Network for Remote Sensing Multi-Image Super-Resolution. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 7592–7614. 2 indexed citations
2.
Lumbreras, Felipe, et al.. (2024). Machine Learning for the estimation of foliar nitrogen content in pineapple crops using multispectral images and Internet of Things (IoT) platforms. Journal of Agriculture and Food Research. 18. 101208–101208. 1 indexed citations
4.
Orengo, Héctor A., et al.. (2023). Curriculum learning-based strategy for low-density archaeological mound detection from historical maps in India and Pakistan. Scientific Reports. 13(1). 11257–11257. 7 indexed citations
6.
Serrat, Joan, Felipe Lumbreras, & Idoia Ruiz. (2018). Learning to measure for preshipment garment sizing. Measurement. 130. 327–339. 1 indexed citations
7.
Madadi, Meysam, Sérgio Escalera, Jordi Gonzàlez, F. Xavier Roca, & Felipe Lumbreras. (2015). Multi-part body segmentation based on depth maps for soft biometry analysis. Pattern Recognition Letters. 56. 14–21. 8 indexed citations
8.
Blanco, Francisco J., Felipe Lumbreras, Joan Serrat, et al.. (2014). Taking advantage of hyperspectral imaging classification of urinary stones against conventional infrared spectroscopy. Journal of Biomedical Optics. 19(12). 126004–126004. 4 indexed citations
9.
Sappa, Ángel D., et al.. (2013). Divide and conquer. 21–22. 13 indexed citations
10.
Aguilera, Cristhian, et al.. (2012). Multispectral Image Feature Points. Sensors. 12(9). 12661–12672. 120 indexed citations
11.
Julià, Carme, Felipe Lumbreras, & Ángel D. Sappa. (2011). A factorization‐based approach to photometric stereo. International Journal of Imaging Systems and Technology. 21(1). 115–119. 7 indexed citations
12.
Alvarez, José M., Felipe Lumbreras, Theo Gevers, & Antonio M. López. (2010). Geographic information for vision-based road detection. 621–626. 11 indexed citations
13.
Serrat, Joan, Ferran Diego, Felipe Lumbreras, & José M. Alvarez. (2007). Alignment of videos recorded from moving vehicles. 512–517. 3 indexed citations
14.
López, Antonio M., C. Cañero, Joan Serrat, et al.. (2005). Detection of lane markings based on ridgeness and RANSAC. 733–738. 29 indexed citations
15.
Ponsa, Daniel, Antonio M. López, Felipe Lumbreras, Joan Serrat, & T. Graf. (2005). 3D vehicle sensor based on monocular vision. 1096–1101. 47 indexed citations
16.
Lladós, Josep, et al.. (2002). ICAR: Identity Card Automatic Reader. 11. 470–474. 4 indexed citations
17.
Pujol, Albert, et al.. (2002). Locating people in indoor scenes for real applications. 4. 632–635. 2 indexed citations
18.
Lumbreras, Felipe. (2001). Segmentation, classification and modelization of textures by means of multiresolution decomposition techniques. TDX (Tesis Doctorals en Xarxa). 1 indexed citations
19.
López, Antonio M., Felipe Lumbreras, Joan Serrat, & J.J. Villanueva. (1999). Evaluation of methods for ridge and valley detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 21(4). 327–335. 134 indexed citations
20.
Lumbreras, Felipe. (1996). Wavelet filtering for the segmentation of marble images. Optical Engineering. 35(10). 2864–2864. 4 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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