Rocío Ballesteros

1.5k total citations
44 papers, 1.2k citations indexed

About

Rocío Ballesteros is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Rocío Ballesteros has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ecology, 21 papers in Environmental Engineering and 21 papers in Plant Science. Recurrent topics in Rocío Ballesteros's work include Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (15 papers) and Irrigation Practices and Water Management (9 papers). Rocío Ballesteros is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (15 papers) and Irrigation Practices and Water Management (9 papers). Rocío Ballesteros collaborates with scholars based in Spain, United Kingdom and Tunisia. Rocío Ballesteros's co-authors include M. Moreno, David Hernández‐López, José Fernando Ortega Álvarez, Mónica Rivas Casado, Thomas Kriechbaumer, Diego S. Intrigliolo, T. Poblete, José María Tarjuelo Martín‐Benito, Diego González‐Aguilera and J.A. de Juan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Rocío Ballesteros

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rocío Ballesteros Spain 20 704 493 451 305 167 44 1.2k
Wenting Han China 24 898 1.3× 703 1.4× 588 1.3× 377 1.2× 138 0.8× 83 1.7k
Philippe Burger France 10 602 0.9× 906 1.8× 367 0.8× 394 1.3× 274 1.6× 12 1.5k
Rubens Augusto Camargo Lamparelli Brazil 20 666 0.9× 473 1.0× 353 0.8× 243 0.8× 89 0.5× 95 1.2k
Alfonso F. Torres‐Rua United States 19 614 0.9× 428 0.9× 652 1.4× 759 2.5× 199 1.2× 75 1.5k
John Louis Australia 16 560 0.8× 476 1.0× 256 0.6× 341 1.1× 122 0.7× 31 1.1k
Liyuan Zhang China 17 680 1.0× 619 1.3× 418 0.9× 244 0.8× 69 0.4× 38 1.1k
Jérôme Théau Canada 18 538 0.8× 315 0.6× 357 0.8× 273 0.9× 43 0.3× 46 1.3k
G. Sepulcre‐Cantó Spain 12 994 1.4× 749 1.5× 427 0.9× 936 3.1× 136 0.8× 18 1.6k
Shouyang Liu China 21 987 1.4× 1.1k 2.3× 537 1.2× 324 1.1× 127 0.8× 45 1.7k
Shanyu Huang China 17 1.1k 1.5× 762 1.5× 616 1.4× 253 0.8× 100 0.6× 26 1.4k

Countries citing papers authored by Rocío Ballesteros

Since Specialization
Citations

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

Fields of papers citing papers by Rocío Ballesteros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rocío Ballesteros

This figure shows the co-authorship network connecting the top 25 collaborators of Rocío Ballesteros. A scholar is included among the top collaborators of Rocío Ballesteros 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 Rocío Ballesteros. Rocío Ballesteros 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.
2.
Moreno, M., et al.. (2025). Validation of the FERTI-drip model for the evaluation and simulation of fertigation events in drip irrigation. Smart Agricultural Technology. 10. 100803–100803. 3 indexed citations
3.
4.
Hernández‐López, David, et al.. (2024). Irrigation Detection Using Sentinel-1 and Sentinel-2 Time Series on Fruit Tree Orchards. Remote Sensing. 16(3). 458–458. 2 indexed citations
5.
Álvarez, José Fernando Ortega, et al.. (2024). A holistic simulation model of solid-set sprinkler irrigation systems for precision irrigation. Precision Agriculture. 25(6). 3109–3138. 1 indexed citations
6.
Ramírez-Cuesta, Juan Miguel, Diego S. Intrigliolo, Ignacio J. Lorite, et al.. (2023). Determining grapevine water use under different sustainable agronomic practices using METRIC-UAV surface energy balance model. Agricultural Water Management. 281. 108247–108247. 21 indexed citations
7.
Intrigliolo, Diego S., et al.. (2022). Machine Learning-Based Processing of Multispectral and RGB UAV Imagery for the Multitemporal Monitoring of Vineyard Water Status. Agronomy. 12(9). 2122–2122. 23 indexed citations
8.
Moreno, José Luis, José Fernando Ortega Álvarez, M. Moreno, & Rocío Ballesteros. (2022). Using an unmanned aerial vehicle (UAV) for lake management: ecological status, lake regime shift and stratification processes in a small Mediterranean karstic lake. Limnetica. 41(2). 1–1. 6 indexed citations
9.
Ballesteros, Rocío, et al.. (2021). Assessment of Maize Growth and Development with High- and Medium-Resolution Remote Sensing Products. Agronomy. 11(5). 940–940. 11 indexed citations
10.
Intrigliolo, Diego S., et al.. (2021). Assessment of Vineyard Water Status by Multispectral and RGB Imagery Obtained from an Unmanned Aerial Vehicle. American Journal of Enology and Viticulture. 72(4). 285–297. 14 indexed citations
11.
Hernández‐López, David, et al.. (2021). Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information. Remote Sensing. 13(24). 4968–4968. 5 indexed citations
12.
Hernández‐López, David, et al.. (2020). Assessing the Accuracy of Multiple Classification Algorithms for Crop Classification Using Landsat-8 and Sentinel-2 Data. Remote Sensing. 12(11). 1735–1735. 58 indexed citations
13.
Ballesteros, Rocío, et al.. (2019). Quantifying the effect of Jacobiasca lybica pest on vineyards with UAVs by combining geometric and computer vision techniques. PLoS ONE. 14(4). e0215521–e0215521. 36 indexed citations
14.
Hernández‐López, David, et al.. (2019). Scalable pixel-based crop classification combining Sentinel-2 and Landsat-8 data time series: Case study of the Duero river basin. Agricultural Systems. 171. 36–50. 53 indexed citations
15.
Moreno, M., et al.. (2019). Geometric Characterization of Vines from 3D Point Clouds Obtained with Laser Scanner Systems. Remote Sensing. 11(20). 2365–2365. 15 indexed citations
16.
Pozo, Susana Del, David Hernández‐López, Rocío Ballesteros, et al.. (2018). HidroMap: A New Tool for Irrigation Monitoring and Management Using Free Satellite Imagery. ISPRS International Journal of Geo-Information. 7(6). 220–220. 23 indexed citations
17.
Álvarez, José Fernando Ortega, et al.. (2017). CARACTERIZACIÓN DEL CRECIMIENTO DE UN CULTIVO DE MAÍZ REGADO EN UNA ZONA SEMIÁRIDA MEDIANTE EL EMPLEO DE IMÁGENES AÉREAS DE ALTA RESOLUCIÓN - DOI: 10.7127/rbai.v11n500802. 11(5). 1763–1771. 1 indexed citations
18.
Hernández‐López, David, et al.. (2017). Automatic Hotspot and Sun Glint Detection in UAV Multispectral Images. Sensors. 17(10). 2352–2352. 31 indexed citations
19.
Hernández‐López, David, et al.. (2016). Approximate georeferencing and automatic blurred image detection to reduce the costs of UAV use in environmental and agricultural applications. Biosystems Engineering. 151. 308–327. 38 indexed citations
20.
Ballesteros, Rocío, José Fernando Ortega Álvarez, David Hernández‐López, & M. Moreno. (2015). Characterization of Vitis vinifera L. Canopy Using Unmanned Aerial Vehicle-Based Remote Sensing and Photogrammetry Techniques. American Journal of Enology and Viticulture. 66(2). 120–129. 42 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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2026