A. Hornero

2.2k total citations · 1 hit paper
39 papers, 1.6k citations indexed

About

A. Hornero is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, A. Hornero has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ecology, 22 papers in Plant Science and 12 papers in Global and Planetary Change. Recurrent topics in A. Hornero's work include Remote Sensing in Agriculture (35 papers), Horticultural and Viticultural Research (13 papers) and Remote Sensing and LiDAR Applications (7 papers). A. Hornero is often cited by papers focused on Remote Sensing in Agriculture (35 papers), Horticultural and Viticultural Research (13 papers) and Remote Sensing and LiDAR Applications (7 papers). A. Hornero collaborates with scholars based in Spain, United Kingdom and Australia. A. Hornero's co-authors include Pablo J. Zarco‐Tejada, Rocío Hernández‐Clemente, Pieter S. A. Beck, Peter North, Juan A Navas‐Cortés, Teja Kattenborn, V. González-Dugo, C. Camino, D. Boscia and Jill E. Cairns and has published in prestigious journals such as Nature Communications, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

A. Hornero

34 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

2018 271 citations Pablo J. Zarco‐Tejada, C. Camino et al. Nature Plants profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Hornero Spain	18	1.2k	915	474	406	234	39	1.6k
Ittai Herrmann Israel	20	948 0.8×	907 1.0×	285 0.6×	230 0.6×	452 1.9×	48	1.5k
Rocío Calderón Spain	10	765 0.7×	773 0.8×	252 0.5×	167 0.4×	282 1.2×	12	1.2k
Alexis Comar France	18	1.2k 1.1×	1.1k 1.3×	668 1.4×	289 0.7×	216 0.9×	25	1.7k
David J. Bonfil Israel	24	955 0.8×	1.3k 1.4×	340 0.7×	328 0.8×	290 1.2×	74	2.1k
Nadia Shakoor United States	16	592 0.5×	829 0.9×	347 0.7×	148 0.4×	150 0.6×	36	1.4k
D. M. Woebbecke United States	6	967 0.8×	938 1.0×	541 1.1×	234 0.6×	274 1.2×	8	1.5k
Xavier Sirault Australia	22	673 0.6×	1.7k 1.9×	429 0.9×	319 0.8×	120 0.5×	38	2.2k
Art Fredeen Canada	8	984 0.9×	878 1.0×	261 0.6×	596 1.5×	212 0.9×	9	1.5k
Francisco Pinto Mexico	19	866 0.7×	1.0k 1.1×	241 0.5×	465 1.1×	150 0.6×	37	1.6k
D. A. Mortensen Russia	6	894 0.8×	912 1.0×	505 1.1×	221 0.5×	231 1.0×	8	1.4k

Countries citing papers authored by A. Hornero

Since Specialization

Citations

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

Fields of papers citing papers by A. Hornero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Hornero

This figure shows the co-authorship network connecting the top 25 collaborators of A. Hornero. A scholar is included among the top collaborators of A. Hornero 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 A. Hornero. A. Hornero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Poblete, T., et al.. (2025). Distinct contribution of the blue spectral region and far-red solar-induced fluorescence to needle nitrogen and phosphorus assessment in coniferous nutrient trials with hyperspectral imagery. Remote Sensing of Environment. 328. 114915–114915. 1 indexed citations

Metcalfe, Julian D., et al.. (2025). Temporal Optimisation of Satellite Image‐Based Crop Mapping: A Comparison of Deep Time Series and Semi‐Supervised Time Warping Strategies. IET Computer Vision. 19(1). 1 indexed citations

Pearson, K. J., Peter North, A. Heckel, et al.. (2025). Atmospheric aerosol measurements from the ATSR-SLSTR series of dual-view satellite instruments 1995–2022. Scientific Data. 12(1). 410–410.

Poblete, T., et al.. (2024). Improving the accuracy of SIF quantified from moderate spectral resolution airborne hyperspectral imager using SCOPE: assessment with sub-nanometer imagery. International Journal of Applied Earth Observation and Geoinformation. 134. 104198–104198. 2 indexed citations

Suárez, Lola, A. Hornero, T. Poblete, et al.. (2024). Assessing plant traits derived from Sentinel-2 to characterize leaf nitrogen variability in almond orchards: modeling and validation with airborne hyperspectral imagery. Precision Agriculture. 26(1). 7 indexed citations

Poblete, T., V. González-Dugo, A. Hornero, & Pablo J. Zarco‐Tejada. (2024). Water stress detection in olive at the farm level using high-resolution multispectral airborne imagery: assessment against canopy temperature. Acta Horticulturae. 23–30. 1 indexed citations

Hernández‐Clemente, Rocío, A. Hornero, V. González-Dugo, et al.. (2023). Global monitoring of soil multifunctionality in drylands using satellite imagery and field data. Remote Sensing in Ecology and Conservation. 9(6). 743–758. 1 indexed citations

Poblete, T., A. Hornero, V. González-Dugo, et al.. (2023). Early Disease Detection with Hyperspectral Imagery: Dynamics of Plant Traits as a Function of Disease Severity Levels. 2803–2806.

Hornero, A., et al.. (2022). Monitoring Phytophthora Disease Symptoms Through Very-High-Resolution Multispectral and Thermal Drone Imagery. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 7787–7790.

10.

Zarco‐Tejada, Pablo J., T. Poblete, C. Camino, et al.. (2021). Divergent abiotic spectral pathways unravel pathogen stress signals across species. Nature Communications. 12(1). 6088–6088. 62 indexed citations

11.

Poblete, T., Juan A Navas‐Cortés, C. Camino, et al.. (2021). Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits. ISPRS Journal of Photogrammetry and Remote Sensing. 179. 133–144. 46 indexed citations

12.

Hernández‐Clemente, Rocío & A. Hornero. (2021). Monitoring and assessment of desertification using remote sensing. Ecosistemas. 30(3). 2240–2240. 4 indexed citations

13.

Poblete, T., C. Camino, Pieter S. A. Beck, et al.. (2020). Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 162. 27–40. 88 indexed citations

14.

Suárez, Lola, V. González-Dugo, C. Camino, A. Hornero, & Pablo J. Zarco‐Tejada. (2020). Physical model inversion of the green spectral region to track assimilation rate in almond trees with an airborne nano-hyperspectral imager. Remote Sensing of Environment. 252. 112147–112147. 18 indexed citations

15.

Zarco‐Tejada, Pablo J., A. Hornero, Pieter S. A. Beck, et al.. (2019). Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline. Remote Sensing of Environment. 223. 320–335. 139 indexed citations

16.

Caruso, Giovanni, Pablo J. Zarco‐Tejada, V. González-Dugo, et al.. (2019). High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes. PLoS ONE. 14(1). e0210804–e0210804. 68 indexed citations

17.

Zarco‐Tejada, Pablo J., A. Hornero, Rocío Hernández‐Clemente, & Pieter S. A. Beck. (2018). Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 137. 134–148. 80 indexed citations

18.

Zarco‐Tejada, Pablo J., C. Camino, Pieter S. A. Beck, et al.. (2018). Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants. 4(7). 432–439. 271 indexed citations breakdown →

19.

Vergara‐Díaz, Omar, Mainassara Zaman‐Allah, A. Hornero, et al.. (2016). A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization. Frontiers in Plant Science. 7. 666–666. 120 indexed citations

20.

Zaman‐Allah, Mainassara, Omar Vergara‐Díaz, J. L. Araus, et al.. (2015). Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize. Plant Methods. 11(1). 35–35. 244 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.

Explore authors with similar magnitude of impact