César Torres-Huitzil
Impact in
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- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Hardware and Architecture top 10%
Papers in
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- Advanced Memory and Neural Computing 28
- CCD and CMOS Imaging Sensors 15
- Ferroelectric and Negative Capacitance Devices 8
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- Context-Aware Activity Recognition Systems 9
- Co-authors
- Bernard Girau (23 shared papers)Miguel Arias-Estrada (10 shared papers)José Hugo Barrón-Zambrano (10 shared papers)Rafael Pérez-Torres (7 shared papers)Horacio Rostro‐González (5 shared papers)Mario-Alberto Ibarra-Manzano (1 shared paper)Juan Gabriel Avina‐Cervantes (2 shared papers)Carlos H. García-Capulín (2 shared papers)
In The Last Decade
César Torres-Huitzil
78 papers receiving 723 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 263
- Hardware and Architecture 51
- Electrical and Electronic Engineering 374
- Cognitive Neuroscience 106
- Artificial Intelligence 163
Countries citing papers authored by César Torres-Huitzil
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
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-authors
The 25 scholars most cited alongside César Torres-Huitzil, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2004 | 40 | |
| 3 | 2015 | 39 | |
| 4 | 2013 | 33 | |
| 5 | 2002 | 29 | |
| 6 | 2005 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2015 | 26 | |
| 9 | 2015 | 22 | |
| 10 | 2006 | 21 | |
| 11 | 2018 | 20 | |
| 12 | 2014 | 17 | |
| 13 | 2013 | 17 | |
| 14 | 2016 | 14 | |
| 15 | 2012 | 14 | |
| 16 | 2019 | 10 | |
| 17 | 2011 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2014 | 9 | |
| 20 | 2011 | 9 |
About César Torres-Huitzil
César Torres-Huitzil is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Biomedical Engineering, having authored 83 papers that have together received 750 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Neural dynamics and brain function (18 papers), CCD and CMOS Imaging Sensors (15 papers), Neural Networks and Applications (11 papers), Context-Aware Activity Recognition Systems (9 papers), Robotic Locomotion and Control (9 papers), Ferroelectric and Negative Capacitance Devices (8 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (263 citations), Hardware and Architecture (51 citations), Electrical and Electronic Engineering (374 citations), Cognitive Neuroscience (106 citations) and Artificial Intelligence (163 citations). César Torres-Huitzil has collaborated with scholars based in Mexico, France and Canada. Frequent co-authors include Bernard Girau, Miguel Arias-Estrada, José Hugo Barrón-Zambrano, Rafael Pérez-Torres, Horacio Rostro‐González, Mario-Alberto Ibarra-Manzano, Juan Gabriel Avina‐Cervantes, Carlos H. García-Capulín, Alejandro Israel Barranco Gutiérrez and Javier Rubio‐Loyola. Their work appears in journals such as Sensors, Neurocomputing, IEEE Access, Neural Networks and Pervasive and Mobile Computing.
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.