Francisco Barranco

727 total citations
29 papers, 443 citations indexed

About

Francisco Barranco is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology. According to data from OpenAlex, Francisco Barranco has authored 29 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 6 papers in Media Technology. Recurrent topics in Francisco Barranco's work include CCD and CMOS Imaging Sensors (13 papers), Advanced Vision and Imaging (12 papers) and Advanced Memory and Neural Computing (7 papers). Francisco Barranco is often cited by papers focused on CCD and CMOS Imaging Sensors (13 papers), Advanced Vision and Imaging (12 papers) and Advanced Memory and Neural Computing (7 papers). Francisco Barranco collaborates with scholars based in Spain, United States and Italy. Francisco Barranco's co-authors include Eduardo Ros, Cornelia Fermüller, Javier Díaz, Mauricio Vanegas, Matteo Tomasi, Yiannis Aloimonos, Tobi Delbrück, Javier Cuadrado, Benoit R. Cottereau and Fang Wang and has published in prestigious journals such as Proceedings of the IEEE, Sensors and ACM Computing Surveys.

In The Last Decade

Francisco Barranco

27 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco Barranco Spain 13 244 205 65 64 58 29 443
Bharath Ramesh Singapore 14 272 1.1× 172 0.8× 111 1.7× 62 1.0× 84 1.4× 63 566
Kofi Appiah United Kingdom 14 320 1.3× 136 0.7× 149 2.3× 49 0.8× 33 0.6× 52 572
Yongjian Deng China 10 255 1.0× 122 0.6× 129 2.0× 67 1.0× 46 0.8× 17 494
Liangzhe Yuan United States 7 348 1.4× 197 1.0× 159 2.4× 67 1.0× 22 0.4× 11 569
Kenneth Chaney United States 7 235 1.0× 219 1.1× 80 1.2× 66 1.0× 28 0.5× 13 482
Kyeongryeol Bong South Korea 15 325 1.3× 410 2.0× 101 1.6× 29 0.5× 48 0.8× 38 652
Dorra Sellami Masmoudi Tunisia 11 118 0.5× 154 0.8× 123 1.9× 30 0.5× 23 0.4× 67 400
Peter James Vial Australia 11 421 1.7× 73 0.4× 46 0.7× 29 0.5× 94 1.6× 55 668
Huaxiang Lu China 10 154 0.6× 72 0.4× 82 1.3× 21 0.3× 63 1.1× 69 361
Shimpei Sato Japan 12 310 1.3× 371 1.8× 147 2.3× 15 0.2× 29 0.5× 52 588

Countries citing papers authored by Francisco Barranco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Jääskeläinen, Pekka, et al.. (2025). Efficient reconfigurable system for home monitoring of the elderly via action recognition. Engineering Applications of Artificial Intelligence. 158. 111383–111383.
2.
Marina, Héctor García de, et al.. (2024). Neuromorphic Perception and Navigation for Mobile Robots: A Review. ACM Computing Surveys. 56(10). 1–37. 7 indexed citations
3.
Ros, Eduardo, et al.. (2024). Optimized Edge-Cloud System for Activity Monitoring Using Knowledge Distillation. Electronics. 13(23). 4786–4786.
4.
Merelo, J. J., Pedro Á. Castillo, Antonio M. Mora, et al.. (2023). Chatbots and messaging platforms in the classroom: An analysis from the teacher’s perspective. Education and Information Technologies. 29(2). 1903–1938. 21 indexed citations
5.
Ramos, F., et al.. (2023). A Cyber-Physical System for Integrated Remote Control and Protection of Smart grid Critical Infrastructures. Journal of Signal Processing Systems. 95(9). 1127–1140. 4 indexed citations
6.
Cuadrado, Javier, et al.. (2023). Optical flow estimation from event-based cameras and spiking neural networks. Frontiers in Neuroscience. 17. 1160034–1160034. 27 indexed citations
7.
Ros, Eduardo, et al.. (2023). When Do Neuromorphic Sensors Outperform cameras? Learning from Dynamic Features. 1–6. 1 indexed citations
8.
Barranco, Francisco, Cornelia Fermüller, Yiannis Aloimonos, & Eduardo Ros. (2021). Joint direct estimation of 3d geometry and 3d motion using spatio temporal gradients. Institutional Repository of the University of Granada (University of Granada). 4 indexed citations
9.
Barranco, Francisco, Cornelia Fermüller, & Eduardo Ros. (2018). Real-Time Clustering and Multi-Target Tracking Using Event-Based Sensors. 5764–5769. 57 indexed citations
10.
Barranco, Francisco, Cornelia Fermüller, Yiannis Aloimonos, & Tobi Delbrück. (2016). A Dataset for Visual Navigation with Neuromorphic Methods. Frontiers in Neuroscience. 10. 49–49. 33 indexed citations
11.
Barranco, Francisco, et al.. (2014). Real-Time Visual Saliency Architecture for FPGA With Top-Down Attention Modulation. IEEE Transactions on Industrial Informatics. 10(3). 1726–1735. 14 indexed citations
12.
Barranco, Francisco, et al.. (2012). Hierarchical architecture for motion and depth estimations based on color cues. Journal of Real-Time Image Processing. 10(2). 435–452. 2 indexed citations
13.
Barranco, Francisco, Matteo Tomasi, Javier Díaz, Mauricio Vanegas, & Eduardo Ros. (2012). Pipelined architecture for real-time cost-optimized extraction of visual primitives based on FPGAs. Digital Signal Processing. 23(2). 675–688. 5 indexed citations
14.
Barranco, Francisco, et al.. (2012). Bottom-up visual attention model based on FPGA. 4. 328–331. 2 indexed citations
15.
Barranco, Francisco, Javier Díaz, Agostino Gibaldi, Silvio P. Sabatini, & Eduardo Ros. (2012). Vector Disparity Sensor with Vergence Control for Active Vision Systems. Sensors. 12(2). 1771–1799. 6 indexed citations
16.
Tomasi, Matteo, et al.. (2011). Massive Parallel-Hardware Architecture for Multiscale Stereo, Optical Flow and Image-Structure Computation. IEEE Transactions on Circuits and Systems for Video Technology. 22(2). 282–294. 22 indexed citations
17.
Tomasi, Matteo, Mauricio Vanegas, Francisco Barranco, Javier Díaz, & Eduardo Ros. (2011). Real-Time Architecture for a Robust Multi-Scale Stereo Engine on FPGA. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(12). 2208–2219. 12 indexed citations
18.
Tomasi, Matteo, Francisco Barranco, Mauricio Vanegas, Javier Díaz, & Eduardo Ros. (2010). Fine grain pipeline architecture for high performance phase-based optical flow computation. Journal of Systems Architecture. 56(11). 577–587. 10 indexed citations
19.
Barranco, Francisco, et al.. (2009). Visual System Based on Artificial Retina for Motion Detection. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 39(3). 752–762. 21 indexed citations
20.
Barranco, Francisco, et al.. (2008). Recuperación, purificación y caracterización de lipasas producidas por Candida rugosa. 1 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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