Iván Huerta
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- Video Surveillance and Tracking Methods 8
- Advanced Vision and Imaging 5
- Face recognition and analysis 5
- Image Enhancement Techniques 3
- Human Pose and Action Recognition 3
- Visual Attention and Saliency Detection 1
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- Anomaly Detection Techniques and Applications 2
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- IoT and Edge/Fog Computing 1
- Co-authors
- Jordi GonzàlezCarles FernándezJavier HernandoCarlos SeguraAndrea PratiMichael Boelstoft HolteThomas B. MoeslundKenny Mitchell
- Journals
- Image and Vision Computing (1 paper)Pattern Recognition Letters (1 paper)Pattern Recognition (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Iván Huerta
14 papers receiving 254 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 229
- Human-Computer Interaction 22
- Signal Processing 30
- Media Technology 17
- Computer Graphics and Computer-Aided Design 6
Countries citing papers authored by Iván Huerta
This map shows the geographic impact of Iván Huerta'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 Iván Huerta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Huerta more than expected).
Fields of papers citing papers by Iván Huerta
This network shows the impact of papers produced by Iván Huerta. 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 Iván Huerta. The network helps show where Iván Huerta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iván Huerta, 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 | 2024 | 1 | |
| 2 | 2017 | 2 | |
| 3 | 2017 | 18 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 43 | |
| 6 | 2016 | 11 | |
| 7 | 2015 | 8 | |
| 8 | 2015 | 71 | |
| 9 | 2015 | 21 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 16 | |
| 12 | 2012 | 18 | |
| 13 | 2009 | 32 | |
| 14 | 2008 | 12 |
About Iván Huerta
Iván Huerta is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Media Technology, Human-Computer Interaction and Signal Processing, having authored 14 papers that have together received 268 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Advanced Vision and Imaging (5 papers), Face recognition and analysis (5 papers), Image Enhancement Techniques (3 papers), Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers), IoT and Edge/Fog Computing (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (229 citations), Human-Computer Interaction (22 citations), Signal Processing (30 citations), Media Technology (17 citations) and Computer Graphics and Computer-Aided Design (6 citations). Iván Huerta has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Jordi Gonzàlez, Carles Fernández, Javier Hernando, Carlos Segura, Andrea Prati, Michael Boelstoft Holte, Thomas B. Moeslund, Kenny Mitchell, Leonid Sigal and Taku Komura. Their work appears in journals such as Image and Vision Computing, Pattern Recognition Letters, Pattern Recognition, Neurocomputing and Research Output (Edinburgh Napier University).
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.