Eduard Gregorio

2.0k total citations
50 papers, 1.3k citations indexed

About

Eduard Gregorio is a scholar working on Plant Science, Environmental Engineering and Ecology. According to data from OpenAlex, Eduard Gregorio has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 26 papers in Environmental Engineering and 13 papers in Ecology. Recurrent topics in Eduard Gregorio's work include Remote Sensing and LiDAR Applications (25 papers), Smart Agriculture and AI (20 papers) and Remote Sensing in Agriculture (13 papers). Eduard Gregorio is often cited by papers focused on Remote Sensing and LiDAR Applications (25 papers), Smart Agriculture and AI (20 papers) and Remote Sensing in Agriculture (13 papers). Eduard Gregorio collaborates with scholars based in Spain, Chile and Netherlands. Eduard Gregorio's co-authors include Joan R. Rosell-Polo, Jordi Gené-Mola, Ricardo Sanz, Alexandre Escolà, Javier Ruiz‐Hidalgo, Josep Ramon Morros, Verónica Vilaplana, Jaume Arnó, Fernando Auat Cheein and Jordi Llorens and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Eduard Gregorio

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eduard Gregorio Spain 22 974 446 366 176 96 50 1.3k
Dionisio Andújar Spain 25 1.2k 1.2× 433 1.0× 588 1.6× 121 0.7× 71 0.7× 65 1.7k
Manuel Pérez Ruiz Spain 24 1.5k 1.5× 324 0.7× 509 1.4× 207 1.2× 117 1.2× 66 2.0k
Yeyin Shi United States 23 1.1k 1.2× 436 1.0× 823 2.2× 235 1.3× 79 0.8× 80 1.8k
Lorenzo Comba Italy 22 726 0.7× 440 1.0× 491 1.3× 53 0.3× 145 1.5× 58 1.3k
Ricardo Sanz Spain 24 1.5k 1.5× 1.1k 2.5× 836 2.3× 120 0.7× 86 0.9× 49 2.0k
Yanchao Zhang China 20 551 0.6× 187 0.4× 313 0.9× 187 1.1× 59 0.6× 69 1.5k
Davide Ricauda Aimonino Italy 20 734 0.8× 379 0.8× 427 1.2× 42 0.2× 91 0.9× 57 1.2k
Philipp Lottes Germany 17 1.3k 1.3× 251 0.6× 569 1.6× 228 1.3× 173 1.8× 19 1.6k
Dimitrios S. Paraforos Germany 20 706 0.7× 257 0.6× 254 0.7× 51 0.3× 46 0.5× 67 1.2k

Countries citing papers authored by Eduard Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Eduard Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eduard Gregorio

This figure shows the co-authorship network connecting the top 25 collaborators of Eduard Gregorio. A scholar is included among the top collaborators of Eduard Gregorio 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 Eduard Gregorio. Eduard Gregorio 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.
Escolà, Alexandre, Ricardo Sanz, Jaume Arnó, et al.. (2025). A methodology for the realistic assessment of 3D point clouds of fruit trees in full 3D context. Computers and Electronics in Agriculture. 232. 110082–110082. 2 indexed citations
2.
Gené-Mola, Jordi, et al.. (2024). A systematic analysis of scan matching techniques for localization in dense orchards. SHILAP Revista de lepidopterología. 9. 100607–100607. 2 indexed citations
3.
Ruiz‐Hidalgo, Javier, et al.. (2023). Simultaneous fruit detection and size estimation using multitask deep neural networks. Biosystems Engineering. 233. 63–75. 34 indexed citations
4.
Gené-Mola, Jordi, J. Hemming, Ricardo Sanz, et al.. (2023). AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 52. 110000–110000. 3 indexed citations
5.
6.
Arnó, Jaume, Jordi Llorens, Alexandre Escolà, et al.. (2023). Drip Irrigation Soil-Adapted Sector Design and Optimal Location of Moisture Sensors: A Case Study in a Vineyard Plot. Agronomy. 13(9). 2369–2369. 2 indexed citations
7.
Torres‐Sánchez, Jorge, Alexandre Escolà, Ana Isabel de Castro, et al.. (2023). Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 2: Comparison for different crops and training systems. Computers and Electronics in Agriculture. 212. 108083–108083. 13 indexed citations
8.
9.
Pérez, Gabriel, Alexandre Escolà, Joan R. Rosell-Polo, et al.. (2021). 3D characterization of a Boston Ivy double-skin green building facade using a LiDAR system. Building and Environment. 206. 108320–108320. 17 indexed citations
10.
Gené-Mola, Jordi, Ricardo Sanz, Joan R. Rosell-Polo, Alexandre Escolà, & Eduard Gregorio. (2021). PFuji-Size dataset: A collection of images and photogrammetry-derived 3D point clouds with ground truth annotations for Fuji apple detection and size estimation in field conditions. SHILAP Revista de lepidopterología. 39. 107629–107629. 13 indexed citations
11.
12.
Gregorio, Eduard, et al.. (2020). Determination of spray drift and buffer zones in 3D crops using the ISO standard and new LiDAR methodologies. The Science of The Total Environment. 714. 136666–136666. 21 indexed citations
13.
Gené-Mola, Jordi, Ricardo Sanz, Joan R. Rosell-Polo, et al.. (2020). Fuji-SfM dataset: A collection of annotated images and point clouds for Fuji apple detection and location using structure-from-motion photogrammetry. SHILAP Revista de lepidopterología. 30. 105591–105591. 34 indexed citations
14.
Gené-Mola, Jordi, Eduard Gregorio, Fernando Auat Cheein, et al.. (2019). Fruit detection in an apple orchard using a mobile terrestrial laser scanner. Biosystems Engineering. 187. 171–184. 94 indexed citations
15.
Gené-Mola, Jordi, Verónica Vilaplana, Joan R. Rosell-Polo, et al.. (2019). KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data. SHILAP Revista de lepidopterología. 25. 104289–104289. 23 indexed citations
16.
Gregorio, Eduard, et al.. (2019). Assessment of spray drift potential reduction for hollow-cone nozzles: Part 1. Classification using indirect methods. The Science of The Total Environment. 692. 1322–1333. 25 indexed citations
17.
Gregorio, Eduard, et al.. (2019). Assessment of spray drift potential reduction for hollow-cone nozzles: Part 2. LiDAR technique. The Science of The Total Environment. 687. 967–977. 16 indexed citations
18.
Gregorio, Eduard, F. Solanelles, Ricardo Sanz, et al.. (2016). Lidar: towards a new methodology for field measurement of spray drift. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 201–206. 1 indexed citations
19.
Gregorio, Eduard, Francesc Rocadenbosch, & Adolfo Comerón. (2007). Design methodology of a ceilometer lidar prototype. QRU Quaderns de Recerca en Urbanisme. 3162–3165. 3 indexed citations
20.
Gregorio, Eduard & Francesc Rocadenbosch. (2007). Perspective of remote optical measurement techniques (ROMTs). QRU Quaderns de Recerca en Urbanisme. 2955–2958. 2 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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