Francisco Barranco
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Cognitive Neuroscience
- Media Technology top 5%
- Co-authors
- Eduardo RosCornelia FermüllerJavier DíazMauricio VanegasMatteo TomasiYiannis AloimonosTobi DelbrückTimothée Masquelier
- Topics
- CCD and CMOS Imaging Sensors (13 papers)Advanced Vision and Imaging (12 papers)Advanced Memory and Neural Computing (7 papers)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Francisco Barranco
27 papers receiving 423 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 244
- Electrical and Electronic Engineering 205
- Artificial Intelligence 65
- Cognitive Neuroscience 64
- Media Technology 58
Countries citing papers authored by Francisco Barranco
This map shows the geographic impact of Francisco Barranco'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 Francisco Barranco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Barranco more than expected).
Fields of papers citing papers by Francisco Barranco
This network shows the impact of papers produced by Francisco Barranco. 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 Francisco Barranco. The network helps show where Francisco Barranco may publish in the future.
Co-authorship network of co-authors of Francisco Barranco
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco Barranco. A scholar is included among the top collaborators of Francisco Barranco 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 Francisco Barranco. Francisco Barranco 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 | 7 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 21 | |
| 6 | 27 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 57 | |
| 10 | 33 | |
| 11 | 37 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 22 | |
| 16 | 12 | |
| 17 | 10 | |
| 18 | 7 | |
| 19 | 21 | |
| 20 | Recuperación, purificación y caracterización de lipasas producidas por Candida rugosa | 1 |
About Francisco Barranco
Francisco Barranco is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering, having authored 29 papers that have together received 443 indexed citations. Recurring topics across this work include CCD and CMOS Imaging Sensors (13 papers), Advanced Vision and Imaging (12 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (244 citations), Media Technology (58 citations) and Acoustics and Ultrasonics (4 citations). Francisco Barranco has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Eduardo Ros, Cornelia Fermüller, Javier Díaz, Mauricio Vanegas, Matteo Tomasi, Yiannis Aloimonos, Tobi Delbrück, Timothée Masquelier, Benoit R. Cottereau and Fang Wang. Their work appears in journals such as Proceedings of the IEEE, Sensors and ACM Computing Surveys.
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.