César Torres-Huitzil

1.2k total citations
82 papers, 737 citations indexed

About

César Torres-Huitzil is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, César Torres-Huitzil has authored 82 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 33 papers in Computer Vision and Pattern Recognition and 19 papers in Cognitive Neuroscience. Recurrent topics in César Torres-Huitzil's work include Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (18 papers) and CCD and CMOS Imaging Sensors (15 papers). César Torres-Huitzil is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (18 papers) and CCD and CMOS Imaging Sensors (15 papers). César Torres-Huitzil collaborates with scholars based in Mexico, France and Canada. César Torres-Huitzil's co-authors include Bernard Girau, Miguel Arias-Estrada, Rafael Pérez-Torres, Horacio Rostro‐González, Juan Gabriel Avina‐Cervantes, Carlos H. García-Capulín, Mario-Alberto Ibarra-Manzano, Alejandro Israel Barranco Gutiérrez, Javier Rubio‐Loyola and José A. Padilla-Medina and has published in prestigious journals such as Scientific Reports, IEEE Access and IEEE Communications Magazine.

In The Last Decade

César Torres-Huitzil

77 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
César Torres-Huitzil Mexico 15 371 263 159 113 106 82 737
M. J. E. Salami Malaysia 18 185 0.5× 185 0.7× 223 1.4× 97 0.9× 136 1.3× 101 964
Ahmed Nabil Belbachir Austria 16 477 1.3× 308 1.2× 81 0.5× 51 0.5× 131 1.2× 72 788
Guangshe Zhao China 20 487 1.3× 130 0.5× 418 2.6× 84 0.7× 277 2.6× 52 1.2k
Andrzej Kasiński Poland 12 323 0.9× 212 0.8× 182 1.1× 90 0.8× 205 1.9× 38 745
Wen‐Jyi Hwang Taiwan 14 141 0.4× 278 1.1× 135 0.8× 62 0.5× 53 0.5× 82 686
Xuguang Zhang China 18 157 0.4× 343 1.3× 215 1.4× 156 1.4× 51 0.5× 70 795
Jong Hwan Ko South Korea 16 290 0.8× 300 1.1× 156 1.0× 53 0.5× 28 0.3× 88 702
Michel Paindavoine France 13 199 0.5× 295 1.1× 86 0.5× 51 0.5× 29 0.3× 102 677
Eva M. Ortigosa Spain 9 228 0.6× 187 0.7× 148 0.9× 31 0.3× 149 1.4× 25 649
Kyeongryeol Bong South Korea 15 410 1.1× 325 1.2× 101 0.6× 55 0.5× 29 0.3× 38 652

Countries citing papers authored by César Torres-Huitzil

Since Specialization
Citations

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

Fields of papers citing papers by César Torres-Huitzil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by César Torres-Huitzil. 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 César Torres-Huitzil. The network helps show where César Torres-Huitzil may publish in the future.

Co-authorship network of co-authors of César Torres-Huitzil

This figure shows the co-authorship network connecting the top 25 collaborators of César Torres-Huitzil. A scholar is included among the top collaborators of César Torres-Huitzil 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 César Torres-Huitzil. César Torres-Huitzil 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.
Diaz-Manríquez, Alan, et al.. (2022). Implementation and integration of image processing blocks in a real-time bottle classification system. Scientific Reports. 12(1). 4868–4868.
2.
Torres-Huitzil, César, et al.. (2020). A streaming architecture for Convolutional Neural Networks based on layer operations chaining. Journal of Real-Time Image Processing. 17(5). 1715–1733. 9 indexed citations
3.
Gutiérrez, Alejandro Israel Barranco, et al.. (2020). Review of prominent strategies for mapping CNNs onto embedded systems. IEEE Latin America Transactions. 18(5). 971–982. 8 indexed citations
4.
Pérez-Torres, Rafael, et al.. (2018). An On-Device Cognitive Dynamic Systems Inspired Sensing Framework for the IoT. IEEE Communications Magazine. 56(9). 154–161. 8 indexed citations
5.
Pérez-Torres, Rafael, et al.. (2016). Power management techniques in smartphone-based mobility sensing systems: A survey. Pervasive and Mobile Computing. 31. 1–21. 26 indexed citations
6.
Rostro‐González, Horacio, et al.. (2015). Automatic Curve Fitting Based on Radial Basis Functions and a Hierarchical Genetic Algorithm. Mathematical Problems in Engineering. 2015. 1–14. 5 indexed citations
7.
Rangel-Valdez, Nelson, et al.. (2014). An efficient FPGA architecture for integer ƞ th root computation. International Journal of Electronics. 102(10). 1675–1694. 1 indexed citations
8.
Torres-Huitzil, César, et al.. (2013). FPGA implementation of a configurable neuromorphic CPG-based locomotion controller. Neural Networks. 45. 50–61. 33 indexed citations
9.
Torres-Huitzil, César, et al.. (2012). Validating the existence of watermarks on digital images using a mobile phone. International Conference for Internet Technology and Secured Transactions. 51–55. 2 indexed citations
10.
Rostro‐González, Horacio, Bruno Cessac, Bernard Girau, & César Torres-Huitzil. (2011). The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networks. Journal of Physiology-Paris. 105(1-3). 91–97. 9 indexed citations
11.
Torres-Huitzil, César, et al.. (2010). FPGA-based Circuit for Central Pattern Generator in Quadruped Locomotion. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
12.
Torres-Huitzil, César, et al.. (2010). FPGA-based Circuit for Central Pattern Generator in Quadruped Locomotion.. 12. 3 indexed citations
13.
14.
Girau, Bernard & César Torres-Huitzil. (2006). FPGA implementation of an integrate-and-fire legion model for image segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 173–178. 8 indexed citations
15.
Girau, Bernard & César Torres-Huitzil. (2006). Massively Distributed Digital Implementation of a Spiking Neural Network for Image Segmentation on FPGA. International Conference on Neural Information Processing. 10. 105–114. 4 indexed citations
16.
Torres-Huitzil, César, et al.. (2006). A Real-Time FPGA-based Architecture for Optical Flow Computation. 1. 213–220. 4 indexed citations
17.
Torres-Huitzil, César & Bernard Girau. (2006). FPGA implementation of an excitatory and inhibitory connectionist model for motion perception. 259–266. 1 indexed citations
18.
Torres-Huitzil, César, et al.. (2005). On-chip visual perception of motion : A bio-inspired connectionist model on FPGA. HAL (Le Centre pour la Communication Scientifique Directe). 18. 557–565. 8 indexed citations
19.
Torres-Huitzil, César, et al.. (2005). On-chip visual perception of motion: A bio-inspired connectionist model on FPGA. Neural Networks. 18(5-6). 557–565. 8 indexed citations
20.
Torres-Huitzil, César, et al.. (2000). Real-time FPGA Architectures for Computer Vision.. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3966. 30–39. 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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