Jaime Zabalza
- Media Technology top 0.2%
- Remote-Sensing Image Classification 27
- Advanced Image Fusion Techniques 25
- Atmospheric Science top 5%
- Remote Sensing and Land Use 11
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 16
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- Image and Signal Denoising Methods 8
- Computational Mathematics top 10%
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- Statistical and numerical algorithms 6
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- Meat and Animal Product Quality 5
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- Geochemistry and Geologic Mapping 5
- Co-authors
- Jinchang RenStephen MarshallHuimin ZhaoNatasha PadfieldValentín MaseroJiangbin ZhengChunmei QingJunwei Han
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)Sensors (2 papers)IEEE Transactions on Cybernetics (1 paper)
- Partner nations
- United KingdomChinaUnited Arab Emirates
In The Last Decade
Jaime Zabalza
54 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Media Technology 974
- Atmospheric Science 515
- Analytical Chemistry 264
- Computer Vision and Pattern Recognition 459
- Computational Mathematics 12
Countries citing papers authored by Jaime Zabalza
This map shows the geographic impact of Jaime Zabalza'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 Jaime Zabalza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Zabalza more than expected).
Fields of papers citing papers by Jaime Zabalza
This network shows the impact of papers produced by Jaime Zabalza. 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 Jaime Zabalza. The network helps show where Jaime Zabalza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaime Zabalza, 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 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 68 | |
| 5 | 2023 | 44 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 44 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 1 | |
| 13 | 2018 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 14 | |
| 16 | 2015 | 4 | |
| 17 | 2015 | 40 | |
| 18 | Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imagingbreakdown → | 2015 | 292 |
| 19 | 2014 | 4 | |
| 20 | Use of Kalman filters for renewable energy sources isolation transformers current harmonics compensation | 2009 | 1 |
About Jaime Zabalza
Jaime Zabalza is a scholar working on Media Technology, Analytical Chemistry and Atmospheric Science, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (27 papers), Advanced Image Fusion Techniques (25 papers), Spectroscopy and Chemometric Analyses (16 papers), Remote Sensing and Land Use (11 papers), Image and Signal Denoising Methods (8 papers), Statistical and numerical algorithms (6 papers), Meat and Animal Product Quality (5 papers) and Geochemistry and Geologic Mapping (5 papers). The work is most often cited by research in Media Technology (974 citations), Atmospheric Science (515 citations) and Analytical Chemistry (264 citations). Jaime Zabalza has collaborated with scholars based in United Kingdom, China and United Arab Emirates. Frequent co-authors include Jinchang Ren, Stephen Marshall, Huimin Zhao, Natasha Padfield, Valentín Masero, Jiangbin Zheng, Chunmei Qing, Junwei Han, Peijun Du and Zhijing Yang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and IEEE Transactions on Cybernetics.
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.