Ma. Luisa Buchaillot

1.1k total citations · 1 hit paper
22 papers, 588 citations indexed

About

Ma. Luisa Buchaillot is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Ma. Luisa Buchaillot has authored 22 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 18 papers in Plant Science and 6 papers in Environmental Engineering. Recurrent topics in Ma. Luisa Buchaillot's work include Remote Sensing in Agriculture (18 papers), Smart Agriculture and AI (8 papers) and Leaf Properties and Growth Measurement (7 papers). Ma. Luisa Buchaillot is often cited by papers focused on Remote Sensing in Agriculture (18 papers), Smart Agriculture and AI (8 papers) and Leaf Properties and Growth Measurement (7 papers). Ma. Luisa Buchaillot collaborates with scholars based in Spain, Colombia and United States. Ma. Luisa Buchaillot's co-authors include J. L. Araus, Shawn C. Kefauver, Joel Segarra, Adrian Gracia‐Romero, Omar Vergara‐Díaz, José A. Fernandez-Gallego, Jill E. Cairns, Amsal Tarekegne, Mainassara Zaman‐Allah and B. M. Prasanna and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Planta.

In The Last Decade

Ma. Luisa Buchaillot

20 papers receiving 568 citations

Hit Papers

Remote Sensing for Precision Agriculture: Sentinel-2 Impr... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ma. Luisa Buchaillot Spain 8 331 316 144 102 84 22 588
Shengping Liu China 10 235 0.7× 252 0.8× 98 0.7× 70 0.7× 73 0.9× 41 563
Joel Segarra Spain 7 303 0.9× 229 0.7× 135 0.9× 122 1.2× 42 0.5× 20 502
Chunsong Bian China 12 393 1.2× 532 1.7× 207 1.4× 54 0.5× 118 1.4× 31 780
Changwei Tan China 15 377 1.1× 380 1.2× 144 1.0× 112 1.1× 133 1.6× 44 626
Renhai Zhong China 11 339 1.0× 297 0.9× 106 0.7× 105 1.0× 69 0.8× 16 588
Xun Yu China 12 314 0.9× 290 0.9× 202 1.4× 105 1.0× 78 0.9× 34 583
Danielle Elis Garcia Furuya Brazil 10 335 1.0× 300 0.9× 190 1.3× 78 0.8× 107 1.3× 22 561
Irene Borra‐Serrano Belgium 12 414 1.3× 388 1.2× 368 2.6× 89 0.9× 83 1.0× 25 742
Jesper Svensgaard Denmark 9 317 1.0× 344 1.1× 186 1.3× 77 0.8× 43 0.5× 10 555
Dan Dutartre France 9 505 1.5× 463 1.5× 305 2.1× 127 1.2× 84 1.0× 14 773

Countries citing papers authored by Ma. Luisa Buchaillot

Since Specialization
Citations

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

Fields of papers citing papers by Ma. Luisa Buchaillot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ma. Luisa Buchaillot. 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 Ma. Luisa Buchaillot. The network helps show where Ma. Luisa Buchaillot may publish in the future.

Co-authorship network of co-authors of Ma. Luisa Buchaillot

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

All Works

20 of 20 papers shown
1.
Buchaillot, Ma. Luisa, Henda Mahmoudi, Salima Yousfi, et al.. (2025). Monitoring Salinity Stress in Moringa and Pomegranate: Comparison of Different Proximal Remote Sensing Approaches. Remote Sensing. 17(12). 2045–2045.
2.
Buchaillot, Ma. Luisa, José A. Fernandez-Gallego, Henda Mahmoudi, et al.. (2024). Framework for deep learning diagnosis of plant disorders in horticultural crops: From data collection tools to user-friendly web and mobile apps. Ecological Informatics. 84. 102900–102900. 2 indexed citations
3.
Segarra, Joel, Ma. Luisa Buchaillot, Adrian Gracia‐Romero, et al.. (2023). Using Ground and UAV Vegetation Indexes for the Selection of Fungal-Resistant Bread Wheat Varieties. Drones. 7(7). 454–454. 4 indexed citations
4.
Buchaillot, Ma. Luisa, Joel Segarra, S. Dorbolo, et al.. (2022). Assessing Phytosanitary Application Efficiency of a Boom Sprayer Machine Using RGB Sensor in Grassy Fields. Sustainability. 14(6). 3666–3666. 4 indexed citations
5.
Buchaillot, Ma. Luisa, David Soba, Juan Liu, et al.. (2022). Estimating peanut and soybean photosynthetic traits using leaf spectral reflectance and advance regression models. Planta. 255(4). 93–93. 24 indexed citations
6.
Gracia‐Romero, Adrian, Ma. Luisa Buchaillot, Rut Sánchez‐Bragado, et al.. (2022). Comparison of Proximal Remote Sensing Devices of Vegetable Crops to Determine the Role of Grafting in Plant Resistance to Meloidogyne incognita. Agronomy. 12(5). 1098–1098. 4 indexed citations
7.
Buchaillot, Ma. Luisa, Jill E. Cairns, Kenneth Wilson, et al.. (2022). Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems. Remote Sensing. 14(19). 5003–5003. 16 indexed citations
8.
Gracia‐Romero, Adrian, Ma. Luisa Buchaillot, Rut Sánchez‐Bragado, et al.. (2021). Comparison of Proximal Remote Sensing Devices of Vegetable Crops to Determine the Role of Grafting in Plant Resistance to Meloidogyne incognita. MDPI (MDPI AG). 61–61. 2 indexed citations
9.
Kamphorst, Samuel Henrique, Antônio Teixeira do Amaral Júnior, Omar Vergara‐Díaz, et al.. (2021). Heterosis and reciprocal effects for physiological and morphological traits of popcorn plants under different water conditions. Agricultural Water Management. 261. 107371–107371. 22 indexed citations
11.
Segarra, Joel, Ma. Luisa Buchaillot, J. L. Araus, & Shawn C. Kefauver. (2020). Remote Sensing for Precision Agriculture: Sentinel-2 Improved Features and Applications. Agronomy. 10(5). 641–641. 302 indexed citations breakdown →
12.
Kefauver, Shawn C., et al.. (2020). Open-Source Software for Crop Physiological Assessments Using High Resolution RGB Images. 4359–4362. 3 indexed citations
14.
Buchaillot, Ma. Luisa, Jill E. Cairns, Kenneth Wilson, et al.. (2020). Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. 8 indexed citations
15.
Fernandez-Gallego, José A., Ma. Luisa Buchaillot, Adrian Gracia‐Romero, et al.. (2019). Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images. Journal of Visualized Experiments. 2 indexed citations
16.
Fernandez-Gallego, José A., Ma. Luisa Buchaillot, Nieves Aparicio, et al.. (2019). Wheat ear temperature estimation using a thermal radiometric camera. 24–24.
17.
Buchaillot, Ma. Luisa, Adrian Gracia‐Romero, Omar Vergara‐Díaz, et al.. (2019). Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques. Sensors. 19(8). 1815–1815. 76 indexed citations
18.
Fernandez-Gallego, José A., Ma. Luisa Buchaillot, Adrian Gracia‐Romero, et al.. (2019). Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images. Journal of Visualized Experiments. 6 indexed citations
19.
Fernandez-Gallego, José A., Ma. Luisa Buchaillot, Nieves Aparicio, et al.. (2019). Automatic Wheat Ear Counting Using Thermal Imagery. Remote Sensing. 11(7). 751–751. 41 indexed citations
20.
Buchaillot, Ma. Luisa, Adrian Gracia‐Romero, Mainassara Zaman‐Allah, et al.. (2018). Evaluating the Performance of Different Commercial and Pre-Commercial Maize Varieties under Low Nitrogen Conditions Using Affordable Phenotyping Tools. MDPI (MDPI AG). 366–366. 3 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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