Felipe Lumbreras
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Automotive Engineering top 5%
- Media Technology top 5%
- Environmental Engineering top 10%
- Co-authors
- Antonio M. LópezJoan SerratÁngel D. SappaJ.J. VillanuevaT. GrafJosé M. AlvarezRicardo ToledoCristhian Aguilera
- Topics
- Advanced Vision and Imaging (19 papers)Video Surveillance and Tracking Methods (8 papers)Autonomous Vehicle Technology and Safety (6 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsExpert Systems with Applications
- Partner nations
- SpainUnited StatesChile
In The Last Decade
Felipe Lumbreras
50 papers receiving 799 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 611
- Aerospace Engineering 189
- Automotive Engineering 178
- Media Technology 114
- Environmental Engineering 89
Countries citing papers authored by Felipe Lumbreras
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 43 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 120 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 65 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 47 | |
| 17 | 29 | |
| 18 | Segmentation, classification and modelization of textures by means of multiresolution decomposition techniques | 1 |
| 19 | 134 | |
| 20 | 4 |
About Felipe Lumbreras
Felipe Lumbreras is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Space and Planetary Science, having authored 50 papers that have together received 852 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (19 papers), Video Surveillance and Tracking Methods (8 papers) and Autonomous Vehicle Technology and Safety (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (611 citations), Space and Planetary Science (38 citations) and Automotive Engineering (178 citations). Felipe Lumbreras has collaborated with scholars based in Spain, United States and Chile. Frequent 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 C. Cañero. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Expert Systems with Applications.
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.