César Aybar

735 citations
15 papers · 424 · 1 hit paper · h-index 8

Impact in

Papers in

César Aybar

15 papers receiving 401 citations

César Aybar's Hit Papers

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research 2023 · 100 citations
1000+1+2Years since publication255075100

Peers

César Aybar
Comparison fields: 5 of 74
  • Ecological Modeling 39
  • Global and Planetary Change 179
  • Ecology 165
  • Atmospheric Science 109
  • Media Technology 50
Replace Daniel G. Sorenson with:
Daniel G. Sorenson United States
Morgan A. Crowley Canada
Zalán Tobak Hungary
Boudewijn van Leeuwen Hungary
Malak Henchiri China
Duole Feng China
Yaotong Cai China
Lan Xun China
Marcin Kluczek Poland
Bart Slagter Netherlands
César Aybar relative to Daniel G. Sorenson United States Daniel G. Sorenson's profile →
Citations per field
00.5×1.5×2.3×
Daniel G. Sorenson · 1×
Citations per year

Countries citing papers authored by César Aybar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with César Aybar Line = papers co-authored together César Aybar links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020106
2
A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Hit paper breakdown →
2023100
3 201988
4 202250
5 202124
6 202213
7 20238
8 20247
9 20246
10 20246
11 20245
12 20244
13 20253
14 20242
15 20232

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 424 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), Atmospheric aerosols and clouds (2 papers), Remote-Sensing Image Classification (2 papers), Hydrology and Watershed Management Studies (2 papers), Remote Sensing and Land Use (2 papers) and Advanced Computational Techniques and Applications (2 papers). The work is most often cited by research in Ecological Modeling (39 citations), Global and Planetary Change (179 citations), Ecology (165 citations), Atmospheric Science (109 citations) and Media Technology (50 citations). César Aybar has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include David Montero, Qiusheng Wu, Miguel D. Mahecha, Sebastian Wieneke, Waldo Lavado‐Casimiro, Oscar Felipe-Obando, Adrian Huerta, Luis Gómez‐Chova, Gonzalo Mateo‐García and Fred F. Hattermann. Their work appears in journals such as Scientific Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Hydrological Sciences Journal, IEEE Geoscience and Remote Sensing Letters and Journal of Hydrometeorology.

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.

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