Eatidal Amin

664 total citations
15 papers, 484 citations indexed

About

Eatidal Amin is a scholar working on Ecology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Eatidal Amin has authored 15 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 7 papers in Environmental Engineering and 5 papers in Atmospheric Science. Recurrent topics in Eatidal Amin's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing and LiDAR Applications (5 papers). Eatidal Amin is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and Land Use (5 papers) and Remote Sensing and LiDAR Applications (5 papers). Eatidal Amin collaborates with scholars based in Spain, Mexico and Italy. Eatidal Amin's co-authors include Jochem Verrelst, Luca Pipia, Santiago Belda, Juan Pablo Rivera, J. Moreno, Pablo Morcillo-Pallarés, Gustau Camps‐Valls, Jordi Muñoz-Marı́, Pablo Reyes-Muñoz and Katja Berger and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Remote Sensing.

In The Last Decade

Eatidal Amin

13 papers receiving 461 citations

Peers

Eatidal Amin
Eatidal Amin
Citations per year, relative to Eatidal Amin Eatidal Amin (= 1×) peers Jordi Muñoz

Countries citing papers authored by Eatidal Amin

Since Specialization
Citations

This map shows the geographic impact of Eatidal Amin'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 Eatidal Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eatidal Amin more than expected).

Fields of papers citing papers by Eatidal Amin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eatidal Amin. 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 Eatidal Amin. The network helps show where Eatidal Amin may publish in the future.

Co-authorship network of co-authors of Eatidal Amin

This figure shows the co-authorship network connecting the top 25 collaborators of Eatidal Amin. A scholar is included among the top collaborators of Eatidal Amin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eatidal Amin. Eatidal Amin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Franch, B., Eatidal Amin, Santiago Belda, et al.. (2025). Retrieving crop phenology at field-scale in the Nile Delta based on Sen2Like and PlanetScope data. International Journal of Applied Earth Observation and Geoinformation. 142. 104716–104716.
2.
Inam, Saba, Shamsa Kanwal, Eatidal Amin, Omar Cheikhrouhou, & Monia Hamdi. (2025). Securing face images in UAV networks using chaos and DNA cryptography approach. Scientific Reports. 15(1). 26011–26011.
4.
Amin, Eatidal, Luca Pipia, Santiago Belda, et al.. (2023). In-season forecasting of within-field grain yield from Sentinel-2 time series data. International Journal of Applied Earth Observation and Geoinformation. 126. 103636–103636. 13 indexed citations
5.
Wittenberghe, Shari Van, Eatidal Amin, Adrián Pérez-Suay, et al.. (2023). Retrieval of leaf-level fluorescence quantum efficiency and NPQ-related xanthophyll absorption through spectral unmixing strategies for future VIS-NIR imaging spectroscopy. Remote Sensing of Environment. 300. 113879–113879. 12 indexed citations
6.
Amin, Eatidal, Santiago Belda, Luca Pipia, et al.. (2022). Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI. Remote Sensing. 14(8). 1812–1812. 16 indexed citations
7.
Verrelst, Jochem, Juan Pablo Rivera, Pablo Reyes-Muñoz, et al.. (2021). Mapping landscape canopy nitrogen content from space using PRISMA data. ISPRS Journal of Photogrammetry and Remote Sensing. 178. 382–395. 92 indexed citations
8.
Verrelst, Jochem, Eatidal Amin, Santiago Belda, et al.. (2021). Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. BOA (University of Milano-Bicocca). 7678–7681. 8 indexed citations
9.
Pipia, Luca, et al.. (2021). Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine. Remote Sensing. 13(3). 403–403. 63 indexed citations
10.
Amin, Eatidal, Jochem Verrelst, Juan Pablo Rivera, et al.. (2020). Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring. Remote Sensing of Environment. 255. 112168–112168. 56 indexed citations
11.
Verrelst, Jochem, Pablo Morcillo-Pallarés, Luca Pipia, et al.. (2020). Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources. Remote Sensing of Environment. 251. 112101–112101. 57 indexed citations
12.
Belda, Santiago, Luca Pipia, Pablo Morcillo-Pallarés, et al.. (2020). DATimeS: A machine learning time series GUI toolbox for gap-filling and vegetation phenology trends detection. Environmental Modelling & Software. 127. 104666–104666. 70 indexed citations
13.
Pipia, Luca, Jordi Muñoz-Marı́, Eatidal Amin, et al.. (2019). Fusing optical and SAR time series for LAI gap filling with multioutput Gaussian processes. Remote Sensing of Environment. 235. 111452–111452. 77 indexed citations
15.
Amin, Eatidal. (2008). APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO EVALUATE WELD DEFECTS OF NUCLEAR COMPONENTS. 4 indexed citations

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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