Verónica Sáiz-Rubio

1.2k total citations · 1 hit paper
19 papers, 770 citations indexed

About

Verónica Sáiz-Rubio is a scholar working on Plant Science, Ecology and Civil and Structural Engineering. According to data from OpenAlex, Verónica Sáiz-Rubio has authored 19 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 7 papers in Ecology and 4 papers in Civil and Structural Engineering. Recurrent topics in Verónica Sáiz-Rubio's work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (7 papers) and Horticultural and Viticultural Research (5 papers). Verónica Sáiz-Rubio is often cited by papers focused on Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (7 papers) and Horticultural and Viticultural Research (5 papers). Verónica Sáiz-Rubio collaborates with scholars based in Spain, India and Iran. Verónica Sáiz-Rubio's co-authors include Francisco Rovira-Más, Ishani Chatterjee, Javier Tardáguila, María P. Diago, Juan Fernández‐Novales, Joana Valente, C. Ortíz, Hêmin Golpîra, Qin Zhang and A. Torregrosa and has published in prestigious journals such as Sensors, Remote Sensing and Computers and Electronics in Agriculture.

In The Last Decade

Verónica Sáiz-Rubio

19 papers receiving 737 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.

From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management

2020 574 citations Verónica Sáiz-Rubio, Francisco Rovira-Más Agronomy profile →

Peers

Verónica Sáiz-Rubio

PS

ECOLO

FS

CNC

EE

Naveed Iqbal Pakistan

Pantelis Barouchas Greece

Zhaoyu Zhai China

Aglaia Liopa-Tsakalidi Greece

Remigio Berruto Italy

Néstor Lucas Martínez Spain

George Salahas Greece

Nahina Islam Australia

Sjoukje Osinga Netherlands

Dhivya Elavarasan India

Naveed Iqbal Pakistan

Verónica Sáiz-Rubio

410 ×0.9

PS

176 ×1.2

ECOLO

65 ×0.9

FS

85 ×1.3

CNC

96 ×1.5

EE

Citations per year, relative to Verónica Sáiz-Rubio Verónica Sáiz-Rubio (= 1×) peers Naveed Iqbal

Countries citing papers authored by Verónica Sáiz-Rubio

Since Specialization

Citations

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

Fields of papers citing papers by Verónica Sáiz-Rubio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Sáiz-Rubio. 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 Verónica Sáiz-Rubio. The network helps show where Verónica Sáiz-Rubio may publish in the future.

Co-authorship network of co-authors of Verónica Sáiz-Rubio

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Sáiz-Rubio. A scholar is included among the top collaborators of Verónica Sáiz-Rubio 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 Verónica Sáiz-Rubio. Verónica Sáiz-Rubio 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:

19 of 19 papers shown

1.

Rovira-Más, Francisco, et al.. (2024). Open-Format Prescription Maps for Variable Rate Spraying in Orchard Farming. Journal of the ASABE. 67(2). 243–257. 3 indexed citations

2.

Sáiz-Rubio, Verónica, et al.. (2023). Modelling Vineyard Spraying by Precisely Assessing the Duty Cycles of a Blast Sprayer Controlled by Pulse-Width-Modulated Nozzles. Agriculture. 13(2). 499–499. 2 indexed citations

3.

Ortíz, C., A. Torregrosa, Verónica Sáiz-Rubio, & Francisco Rovira-Más. (2023). Vibration Analysis of Pulse-Width-Modulated Nozzles in Vineyard Blast Sprayers. Horticulturae. 9(6). 703–703. 2 indexed citations

4.

Rovira-Más, Francisco, et al.. (2021). Mathematical model-based redesign of chickpea harvester reel. Spanish Journal of Agricultural Research. 19(1). e0203–e0203. 3 indexed citations

5.

Fernández‐Novales, Juan, Verónica Sáiz-Rubio, Francisco Rovira-Más, et al.. (2021). Monitoring and Mapping Vineyard Water Status Using Non-Invasive Technologies by a Ground Robot. Remote Sensing. 13(14). 2830–2830. 31 indexed citations

6.

Rovira-Más, Francisco, et al.. (2021). Sensing Architecture for Terrestrial Crop Monitoring: Harvesting Data as an Asset. Sensors. 21(9). 3114–3114. 7 indexed citations

7.

Sáiz-Rubio, Verónica, et al.. (2021). Robotics-based vineyard water potential monitoring at high resolution. Computers and Electronics in Agriculture. 187. 106311–106311. 17 indexed citations

8.

Zhang, Qin & Verónica Sáiz-Rubio. (2020). Mechatronics and Intelligent Systems in Agricultural Machinery. 1 indexed citations

9.

Rovira-Más, Francisco, et al.. (2020). Augmented Perception for Agricultural Robots Navigation. IEEE Sensors Journal. 21(10). 11712–11727. 48 indexed citations

10.

Sáiz-Rubio, Verónica & Francisco Rovira-Más. (2020). From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management. Agronomy. 10(2). 207–207. 574 indexed citations breakdown →

11.

Sáiz-Rubio, Verónica, et al.. (2017). <i>Performance Improvement of a Vineyard Robot through its Mechanical Design</i>. 2017 Spokane, Washington July 16 - July 19, 2017. 1 indexed citations

12.

Sáiz-Rubio, Verónica & Francisco Rovira-Más. (2016). Preliminary Approach for Real-time Mapping of Vineyards from an Autonomous Ground Robot. 1 indexed citations

13.

Diago, María P., Francisco Rovira-Más, Verónica Sáiz-Rubio, et al.. (2016). The "eyes" of the VineRobot: non-destructive and autonomous vineyard monitoring on-the-go. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 3 indexed citations

14.

Rovira-Más, Francisco, Ishani Chatterjee, & Verónica Sáiz-Rubio. (2015). The role of GNSS in the navigation strategies of cost-effective agricultural robots. Computers and Electronics in Agriculture. 112. 172–183. 59 indexed citations

15.

Sáiz-Rubio, Verónica, et al.. (2015). Robot-generated Crop Maps for Decision-making in Vineyards. 2015 ASABE International Meeting. 1 indexed citations

16.

Sáiz-Rubio, Verónica & Francisco Rovira-Más. (2013). Proximal sensing mapping method to generate field maps in vineyards. RiuNet (Politechnical University of Valencia). 15(2). 47–59. 4 indexed citations

17.

Sáiz-Rubio, Verónica, et al.. (2013). Robust estimation of Ackerman angles for front-axle steered vehicles. RiuNet (Politechnical University of Valencia). 2(2). 1 indexed citations

18.

Rovira-Más, Francisco & Verónica Sáiz-Rubio. (2013). Crop Biometric Maps: The Key to Prediction. Sensors. 13(9). 12698–12743. 6 indexed citations

19.

Sáiz-Rubio, Verónica & Francisco Rovira-Más. (2012). Segmentación automática de imágenes digitales para estimar el vigor en viñas. Spanish Journal of Agricultural Research. 10(3). 596–604. 6 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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