César Aybar
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Global and Planetary Change top 10%
- Climate variability and models
- Land Use and Ecosystem Services
Papers in
-
- Meteorological Phenomena and Simulations 4
- Precipitation Measurement and Analysis 3
-
- Atmospheric aerosols and clouds 2
- Co-authors
- David Montero (8 shared papers)Qiusheng Wu (1 shared paper)Miguel D. Mahecha (5 shared papers)Sebastian Wieneke (3 shared papers)Waldo Lavado‐Casimiro (3 shared papers)Francesco Martinuzzi (3 shared papers)Oscar Felipe-Obando (2 shared papers)Adrian Huerta (2 shared papers)
- Journals
- Scientific Data (4 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Journal of Hydrometeorology (1 paper)Hydrological Sciences Journal (1 paper)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- GermanySpainUnited Kingdom
In The Last Decade
César Aybar
15 papers receiving 450 citations
César Aybar's Hit Papers
Peers
Comparison fields: 5 of 75
- Ecological Modeling 40
- Global and Planetary Change 186
- Ecology 168
- Atmospheric Science 112
- Media Technology 50
Countries citing papers authored by César Aybar
This map shows the geographic impact of César Aybar'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 Aybar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites César Aybar more than expected).
Fields of papers citing papers by César Aybar
This network shows the impact of papers produced by César Aybar. 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 Aybar. The network helps show where César Aybar may publish in the future.
Co-authors
The 25 scholars most cited alongside César Aybar, 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 | 2020 | 113 | |
| 2 | A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research Hit paper breakdown → | 2023 | 103 |
| 3 | 2019 | 96 | |
| 4 | 2022 | 55 | |
| 5 | 2021 | 27 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2024 | 5 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 |
About César Aybar
César Aybar is a scholar working on Atmospheric Science, Global and Planetary Change, Artificial Intelligence, Media Technology and Ecology, having authored 15 papers that have together received 462 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (4 papers), Remote Sensing in Agriculture (3 papers), Precipitation Measurement and Analysis (3 papers), Advanced Image Fusion Techniques (2 papers), Infrared Target Detection Methodologies (2 papers), Remote-Sensing Image Classification (2 papers), Atmospheric aerosols and clouds (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Ecological Modeling (40 citations), Global and Planetary Change (186 citations), Ecology (168 citations), Atmospheric Science (112 citations) and Media Technology (50 citations). César Aybar has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include David Montero, Qiusheng Wu, Miguel D. Mahecha, Sebastian Wieneke, Waldo Lavado‐Casimiro, Francesco Martinuzzi, Oscar Felipe-Obando, Adrian Huerta, Luis Gómez‐Chova and Freddie Kalaitzis. Their work appears in journals such as Scientific Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal of Hydrometeorology, Hydrological Sciences Journal and IEEE Geoscience and Remote Sensing Letters.
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.