F. Soto

2.0k total citations
45 papers, 1.5k citations indexed

About

F. Soto is a scholar working on Plant Science, Water Science and Technology and Computer Networks and Communications. According to data from OpenAlex, F. Soto has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 12 papers in Water Science and Technology and 11 papers in Computer Networks and Communications. Recurrent topics in F. Soto's work include Water Quality Monitoring Technologies (12 papers), Irrigation Practices and Water Management (10 papers) and Smart Agriculture and AI (10 papers). F. Soto is often cited by papers focused on Water Quality Monitoring Technologies (12 papers), Irrigation Practices and Water Management (10 papers) and Smart Agriculture and AI (10 papers). F. Soto collaborates with scholars based in Spain, Colombia and United Kingdom. F. Soto's co-authors include Roque Torres-Sánchez, Juan Antonio López, Honorio Navarro-Hellín, R. Domingo, Pedro Sánchez, Andrés Iborra, Juan Suardíaz Muro, Jesús Martínez del Rincón, Manuel Jiménez Buendía and José Abel Flores Villarejo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Sensors and Remote Sensing.

In The Last Decade

F. Soto

44 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Soto Spain 22 588 386 310 280 197 45 1.5k
Roque Torres-Sánchez Spain 26 865 1.5× 223 0.6× 286 0.9× 190 0.7× 375 1.9× 58 1.8k
Lorena Parra Spain 24 462 0.8× 691 1.8× 624 2.0× 633 2.3× 103 0.5× 103 2.4k
Juan Antonio López Spain 15 431 0.7× 248 0.6× 242 0.8× 296 1.1× 83 0.4× 31 1.0k
Laura García Spain 18 446 0.8× 383 1.0× 332 1.1× 405 1.4× 78 0.4× 53 1.4k
William M. Iversen United States 21 658 1.1× 227 0.6× 241 0.8× 142 0.5× 688 3.5× 51 1.5k
Qiliang Yang China 24 393 0.7× 225 0.6× 81 0.3× 172 0.6× 303 1.5× 152 1.7k
Francisco Rodríguez Spain 32 1.4k 2.4× 510 1.3× 178 0.6× 151 0.5× 185 0.9× 146 3.1k
Narendra Singh Raghuwanshi India 25 608 1.0× 338 0.9× 1.0k 3.4× 399 1.4× 253 1.3× 64 2.6k
Yunseop Kim United States 9 461 0.8× 211 0.5× 181 0.6× 139 0.5× 119 0.6× 23 782
Joaquín Gutiérrez Mexico 13 497 0.8× 285 0.7× 392 1.3× 126 0.5× 54 0.3× 40 1.0k

Countries citing papers authored by F. Soto

Since Specialization
Citations

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

Fields of papers citing papers by F. Soto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Soto

This figure shows the co-authorship network connecting the top 25 collaborators of F. Soto. A scholar is included among the top collaborators of F. Soto 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 F. Soto. F. Soto 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.
Gilabert, Javier, et al.. (2025). Design and application of depth control methods for autonomous underwater profilers in challenging marine environments. Results in Engineering. 25. 104031–104031. 4 indexed citations
2.
Blaya-Ros, Pedro José, et al.. (2024). Assessment of Trunk Diameter Fluctuation-Derived Indices for Detecting Water Stress in Sweet Cherry Trees. Water. 16(15). 2186–2186. 1 indexed citations
3.
Gilabert, Javier, et al.. (2024). Design and development of a new stand-alone profiler for marine monitoring purposes. Applied Ocean Research. 152. 104199–104199. 1 indexed citations
4.
González-Teruel, Juan D., et al.. (2021). Intelligent thermal image-based sensor for affordable measurement of crop canopy temperature. Computers and Electronics in Agriculture. 188. 106319–106319. 34 indexed citations
5.
González-Teruel, Juan D., Scott B. Jones, F. Soto, et al.. (2020). Dielectric Spectroscopy and Application of Mixing Models Describing Dielectric Dispersion in Clay Minerals and Clayey Soils. Sensors. 20(22). 6678–6678. 28 indexed citations
6.
Blanco, Víctor, et al.. (2020). Potential of UAS-Based Remote Sensing for Estimating Tree Water Status and Yield in Sweet Cherry Trees. Remote Sensing. 12(15). 2359–2359. 29 indexed citations
7.
Blaya-Ros, Pedro José, Víctor Blanco, R. Domingo, F. Soto, & Roque Torres-Sánchez. (2020). Feasibility of Low-Cost Thermal Imaging for Monitoring Water Stress in Young and Mature Sweet Cherry Trees. Applied Sciences. 10(16). 5461–5461. 35 indexed citations
8.
González-Teruel, Juan D., et al.. (2019). Design and Calibration of a Low-Cost SDI-12 Soil Moisture Sensor. Sensors. 19(3). 491–491. 83 indexed citations
9.
Torres-Sánchez, Roque, Giuseppe Ferrara, F. Soto, et al.. (2017). Effects of soil and climate in a table grape vineyard with cover crops. Irrigation management using sensors networks. Ciência e técnica vitivinícola. 32(1). 72–81. 30 indexed citations
10.
Torres-Sánchez, Roque, et al.. (2016). A comparative study of wireless and wired sensors networks for deficit irrigation management. EGUGA. 2 indexed citations
11.
Soto, F., et al.. (2015). Low cost buoy for monitoring recreational areas. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 61–61. 3 indexed citations
12.
Molina‐Martínez, José Miguel, Pedro Navarro, Manuel Jiménez Buendía, et al.. (2012). VIPMET: New Real-Time Data Filtering–Based Automatic Agricultural Weather Station. Journal of Irrigation and Drainage Engineering. 138(9). 823–829. 4 indexed citations
13.
Ruiz‐Canales, Antonio, et al.. (2011). SCADA platform combined with a scale model of trickle irrigation system for agricultural engineering education. Computer Applications in Engineering Education. 22(3). 463–473. 7 indexed citations
14.
Soto, F., et al.. (2010). Redes de sensores inalámbricos en la agronomía. Vida rural. 72–77. 1 indexed citations
15.
López, Juan Antonio, et al.. (2010). Design and validation of a wireless sensor network architecture for precision horticulture applications. Precision Agriculture. 12(2). 280–295. 38 indexed citations
16.
López, Juan Antonio, et al.. (2009). Development of a Sensor Node for Precision Horticulture. Sensors. 9(5). 3240–3255. 26 indexed citations
17.
Soto, F., et al.. (2007). Automatic Inspection System for Quality Evaluation of Fresh Tuna Meat. Hispana. 55. 1669–1674. 1 indexed citations
18.
Villarejo, José Abel Flores, J. Sebastián, & F. Soto. (2005). Design considerations for single-stage, input-current shapers for low output voltage ripple. Twentieth Annual IEEE Applied Power Electronics Conference and Exposition, 2005. APEC 2005.. 2. 1158–1162. 1 indexed citations
19.
Soto, F., et al.. (2003). Electrofishing Techniques: slaughtering and quality analysis for BFT. Digital Repository (Universidad Politécnica de Cartagena). 3 indexed citations
20.
García-Gómez, Antonio, et al.. (2002). Experiencias preliminares en el desarrollo de técnicas para el electroaturdimiento y electrosacrificio del atún rojo Thunnus thynnus (L., 1758) cultivado en jaulas flotantes. 18(1). 385–388. 1 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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