Esteban J. Palomo
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- Video Surveillance and Tracking Methods 16
- Face and Expression Recognition 8
- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 5
- Image Enhancement Techniques 5
- Image and Signal Denoising Methods 4
- Signal Processing top 10%
- Media Technology top 10%
- Artificial Intelligence top 10%
- Neural Networks and Applications 13
- Anomaly Detection Techniques and Applications 9
- Co-authors
- Ezequiel López‐RubioEnrique DomínguezRafael Marcos Luque‐BaenaDavid ElizondoFrancisco Ortega-ZamoranoMiguel A. Molina‐CabelloTim WatsonJanet M. Wilmshurst
- Journals
- Neural Processing Letters (4 papers)Neurocomputing (3 papers)Integrated Computer-Aided Engineering (3 papers)
- Partner nations
- SpainEcuadorUnited Kingdom
In The Last Decade
Esteban J. Palomo
42 papers receiving 408 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 207
- Signal Processing 57
- Media Technology 42
- Artificial Intelligence 145
- Human-Computer Interaction 14
Countries citing papers authored by Esteban J. Palomo
This map shows the geographic impact of Esteban J. Palomo'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 Esteban J. Palomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esteban J. Palomo more than expected).
Fields of papers citing papers by Esteban J. Palomo
This network shows the impact of papers produced by Esteban J. Palomo. 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 Esteban J. Palomo. The network helps show where Esteban J. Palomo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Esteban J. Palomo, 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 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 0 | |
| 9 | 2019 | 8 | |
| 10 | 2016 | 13 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 27 | |
| 16 | 2011 | 10 | |
| 17 | 2011 | 8 | |
| 18 | 2011 | 6 | |
| 19 | An ART-type network approach for video object detection | 2010 | 10 |
| 20 | 2010 | 4 |
About Esteban J. Palomo
Esteban J. Palomo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Safety, Risk, Reliability and Quality and Signal Processing, having authored 47 papers that have together received 430 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Neural Networks and Applications (13 papers), Anomaly Detection Techniques and Applications (9 papers), Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (7 papers), Advanced Vision and Imaging (5 papers), Image Enhancement Techniques (5 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Signal Processing (57 citations), Media Technology (42 citations), Artificial Intelligence (145 citations) and Human-Computer Interaction (14 citations). Esteban J. Palomo has collaborated with scholars based in Spain, Ecuador and United Kingdom. Frequent co-authors include Ezequiel López‐Rubio, Enrique Domínguez, Rafael Marcos Luque‐Baena, David Elizondo, Francisco Ortega-Zamorano, Miguel A. Molina‐Cabello, Tim Watson, Janet M. Wilmshurst, Tim Watson and Javier Monroy. Their work appears in journals such as Neural Processing Letters, Neurocomputing, Integrated Computer-Aided Engineering, Expert Systems with Applications and IEEE Transactions on Neural Networks and Learning Systems.
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.