Fernando De la Torre
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- Face recognition and analysis 51
- Face and Expression Recognition 42
- Human Pose and Action Recognition 27
- Video Surveillance and Tracking Methods 25
- Image Retrieval and Classification Techniques 14
- Advanced Vision and Imaging 14
- Signal Processing top 0.5%
- Human-Computer Interaction top 0.5%
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- Emotion and Mood Recognition 15
- Immunology and Allergy top 1%
- Allergic Rhinitis and Sensitization 21
- Co-authors
- Xuehan XiongJeffrey F. CohnMinh Hoai NguyenFeng ZhouWen-Sheng ChuMinh HoaiGloria BuenoJesús Salido
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (11 papers)Journal of Allergy and Clinical Immunology (1 paper)IEEE Transactions on Image Processing (2 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
Fernando De la Torre
153 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Computer Vision and Pattern Recognition 5.3k
- Signal Processing 1.3k
- Human-Computer Interaction 638
- Experimental and Cognitive Psychology 1.4k
- Immunology and Allergy 490
Countries citing papers authored by Fernando De la Torre
This map shows the geographic impact of Fernando De la Torre'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 Fernando De la Torre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando De la Torre more than expected).
Fields of papers citing papers by Fernando De la Torre
This network shows the impact of papers produced by Fernando De la Torre. 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 Fernando De la Torre. The network helps show where Fernando De la Torre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fernando De la Torre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Neural Synthesis of Binaural Speech From Mono Audio | 2020 | 14 |
| 2 | 2017 | 5 | |
| 3 | 2017 | 27 | |
| 4 | 2016 | 4 | |
| 5 | 2015 | 32 | |
| 6 | 2014 | 39 | |
| 7 | Matrix Completion for Multi-label Image Classification | 2011 | 118 |
| 8 | 2011 | 129 | |
| 9 | 2011 | 39 | |
| 10 | 2011 | 55 | |
| 11 | 2011 | 14 | |
| 12 | Local Minima Embedding | 2010 | 2 |
| 13 | Canonical Time Warping for Alignment of Human Behavior | 2009 | 137 |
| 14 | 2008 | 22 | |
| 15 | 2008 | 180 | |
| 16 | 2006 | 2 | |
| 17 | 2005 | 32 | |
| 18 | 2004 | 13 | |
| 19 | 2001 | 70 | |
| 20 | 1988 | 15 |
About Fernando De la Torre
Fernando De la Torre is a scholar working on Computer Vision and Pattern Recognition, Immunology and Allergy and Signal Processing, having authored 157 papers that have together received 7.8k indexed citations. Recurring topics across this work include Face recognition and analysis (51 papers), Face and Expression Recognition (42 papers), Human Pose and Action Recognition (27 papers), Video Surveillance and Tracking Methods (25 papers), Allergic Rhinitis and Sensitization (21 papers), Emotion and Mood Recognition (15 papers), Image Retrieval and Classification Techniques (14 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.3k citations), Signal Processing (1.3k citations) and Human-Computer Interaction (638 citations). Fernando De la Torre has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Xuehan Xiong, Jeffrey F. Cohn, Minh Hoai Nguyen, Feng Zhou, Wen-Sheng Chu, Feng Zhou, Minh Hoai, Gloria Bueno, Jesús Salido and Óscar Déniz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Allergy and Clinical Immunology and IEEE Transactions on Image Processing.
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.