María P. Diago

4.1k total citations
80 papers, 3.1k citations indexed

About

María P. Diago is a scholar working on Plant Science, Food Science and Analytical Chemistry. According to data from OpenAlex, María P. Diago has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 42 papers in Food Science and 25 papers in Analytical Chemistry. Recurrent topics in María P. Diago's work include Horticultural and Viticultural Research (70 papers), Fermentation and Sensory Analysis (39 papers) and Spectroscopy and Chemometric Analyses (25 papers). María P. Diago is often cited by papers focused on Horticultural and Viticultural Research (70 papers), Fermentation and Sensory Analysis (39 papers) and Spectroscopy and Chemometric Analyses (25 papers). María P. Diago collaborates with scholars based in Spain, Portugal and Italy. María P. Diago's co-authors include Javier Tardáguila, Juan Fernández‐Novales, Borja Millán, Salvador Gutiérrez, J. Baluja, Stefano Poni, Arturo Aquino, Fernando Martínez de Toda Fernández, Mar Vilanova and Fermı́n Morales and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

María P. Diago

80 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
María P. Diago Spain	37	2.5k	1.1k	983	670	498	80	3.1k
Javier Tardáguila Spain	39	3.0k 1.2×	1.3k 1.2×	1.1k 1.1×	704 1.1×	553 1.1×	105	3.6k
L.G. Santesteban Spain	26	1.6k 0.6×	531 0.5×	469 0.5×	71 0.1×	489 1.0×	94	1.9k
Uwe Meier Germany	23	2.2k 0.9×	554 0.5×	413 0.4×	69 0.1×	251 0.5×	103	3.4k
José M. Escalona Spain	32	3.4k 1.3×	854 0.8×	682 0.7×	51 0.1×	2.4k 4.7×	74	4.7k
Pedro Martín Peña Spain	13	1.0k 0.4×	248 0.2×	914 0.9×	215 0.3×	340 0.7×	35	1.5k
Matteo Gatti Italy	28	2.3k 0.9×	1.6k 1.4×	235 0.2×	70 0.1×	497 1.0×	108	2.6k
Xiaoqing Xu China	21	730 0.3×	532 0.5×	609 0.6×	107 0.2×	193 0.4×	63	1.7k
Alberto Palliotti Italy	37	3.3k 1.3×	1.7k 1.5×	279 0.3×	52 0.1×	817 1.6×	129	3.6k
Reinhard Töpfer Germany	34	3.2k 1.3×	1.2k 1.1×	387 0.4×	129 0.2×	59 0.1×	136	3.7k
Stefano Poni Italy	42	5.3k 2.1×	3.2k 2.9×	423 0.4×	81 0.1×	1.4k 2.8×	217	5.7k

Countries citing papers authored by María P. Diago

Since Specialization

Citations

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

Fields of papers citing papers by María P. Diago

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María P. Diago. 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 María P. Diago. The network helps show where María P. Diago may publish in the future.

Co-authorship network of co-authors of María P. Diago

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

All Works

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20 of 20 papers shown

Román, Sandra Marín‐San, Juan Fernández‐Novales, Cristina Cebrián‐Tarancón, et al.. (2023). Application of near‐infrared spectroscopy for the estimation of volatile compounds in Tempranillo Blanco grape berries during ripening. Journal of the Science of Food and Agriculture. 103(13). 6317–6329. 3 indexed citations

Román, Sandra Marín‐San, Juan Fernández‐Novales, Cristina Cebrián‐Tarancón, et al.. (2023). Monitorization of Varietal Aroma Composition Dynamics during Ripening in Intact Vitis vinifera L. Tempranillo Blanco Berries by Hyperspectral Imaging. Journal of Agricultural and Food Chemistry. 71(5). 2616–2627. 11 indexed citations

Diago, María P., et al.. (2022). Combination of multispectral imagery, environmental data and thermography for on-the-go monitoring of the grapevine water status in commercial vineyards. European Journal of Agronomy. 140. 126586–126586. 15 indexed citations

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

Fernández‐Novales, Juan, et al.. (2021). Non-Invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard. Agronomy. 11(12). 2534–2534. 10 indexed citations

Fernández‐Novales, Juan, Teresa Garde‐Cerdán, Javier Tardáguila, et al.. (2019). Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening. Talanta. 199. 244–253. 68 indexed citations

Millán, Borja, et al.. (2019). Vineyard pruning weight assessment by machine vision: towards an on-the-go measurement system. OENO One. 53(2). 13 indexed citations

Gutiérrez, Salvador, Juan Fernández‐Novales, María P. Diago, & Javier Tardáguila. (2018). On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties. Frontiers in Plant Science. 9. 1102–1102. 58 indexed citations

Fernández‐Novales, Juan, et al.. (2017). In field quantification and discrimination of different vineyard water regimes by on-the-go NIR spectroscopy. Biosystems Engineering. 165. 47–58. 24 indexed citations

10.

Tardáguila, Javier, et al.. (2016). Quantifying spatio-temporal variation of leaf chlorophyll and nitrogen contents in vineyards. Biosystems Engineering. 150. 201–213. 14 indexed citations

11.

Diago, María P., Rafael Tomás Las Heras, Laura Monforte, et al.. (2016). Effects of ambient solar UV radiation on grapevine leaf physiology and berry phenolic composition along one entire season under Mediterranean field conditions. Plant Physiology and Biochemistry. 109. 374–386. 34 indexed citations

12.

Diago, María P., Salvador Gutiérrez, Javier Tardáguila, & Juan Fernández‐Novales. (2015). <strong>Data mining and non-invasive proximal sensing for precision viticulture</strong>. S2003–S2003. 2 indexed citations

13.

Fernandes, Armando, Pedro Melo‐Pinto, Borja Millán, Javier Tardáguila, & María P. Diago. (2014). Automatic discrimination of grapevine (Vitis viniferaL.) clones using leaf hyperspectral imaging and partial least squares. The Journal of Agricultural Science. 153(3). 455–465. 20 indexed citations

14.

Rossi, Roberta, Alessio Pollice, María P. Diago, et al.. (2013). Using an Automatic Resistivity Profiler Soil Sensor On-The-Go in Precision Viticulture. Sensors. 13(1). 1121–1136. 24 indexed citations

15.

Diago, María P., et al.. (2013). MECHANICAL CROP THINNING AND EARLY DEFOLIATION AS NOVEL TOOLS FOR YIELD MANAGEMENT IN VSP GRAPEVINES. Acta Horticulturae. 279–284. 1 indexed citations

16.

Diago, María P., Belén Ayestarán, Zenaida Guadalupe, Stefano Poni, & Javier Tardáguila. (2012). Impact of Prebloom and Fruit Set Basal Leaf Removal on the Flavonol and Anthocyanin Composition of Tempranillo Grapes. American Journal of Enology and Viticulture. 63(3). 367–376. 67 indexed citations

17.

Baluja, J., María P. Diago, Pierre Goovaerts, & Javier Tardáguila. (2012). Assessment of the spatial variability of anthocyanins in grapes using a fluorescence sensor: relationships with vine vigour and yield. Precision Agriculture. 13(4). 457–472. 58 indexed citations

18.

Baluja, J., Javier Tardáguila, Belén Ayestarán, & María P. Diago. (2012). Spatial variability of grape composition in a Tempranillo (Vitis vinifera L.) vineyard over a 3-year survey. Precision Agriculture. 14(1). 40–58. 41 indexed citations

19.

Diago, María P., et al.. (2011). Phenolic composition of Tempranillo wines following early defoliation of the vines. Journal of the Science of Food and Agriculture. 92(4). 925–934. 47 indexed citations

20.

Tardáguila, Javier, Paul R. Petrie, Stefano Poni, María P. Diago, & Fernando Martínez de Toda Fernández. (2008). Effects of Mechanical Thinning on Yield and Fruit Composition of Tempranillo and Grenache Grapes Trained to a Vertical Shoot-Positioned Canopy. American Journal of Enology and Viticulture. 59(4). 412–417. 46 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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