Borja Millán

1.2k total citations
26 papers, 868 citations indexed

About

Borja Millán is a scholar working on Plant Science, Analytical Chemistry and Ecology. According to data from OpenAlex, Borja Millán has authored 26 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 10 papers in Analytical Chemistry and 9 papers in Ecology. Recurrent topics in Borja Millán's work include Horticultural and Viticultural Research (20 papers), Spectroscopy and Chemometric Analyses (10 papers) and Fermentation and Sensory Analysis (7 papers). Borja Millán is often cited by papers focused on Horticultural and Viticultural Research (20 papers), Spectroscopy and Chemometric Analyses (10 papers) and Fermentation and Sensory Analysis (7 papers). Borja Millán collaborates with scholars based in Spain, Italy and Portugal. Borja Millán's co-authors include Javier Tardáguila, María P. Diago, Arturo Aquino, José Manuel Andújar, Juan Ponce, J. Blasco, Pilar Barreiro Elorza, Constantino Valero Ubierna, Armando Fernandes and Pedro Melo‐Pinto and has published in prestigious journals such as IEEE Access, Sensors and Remote Sensing.

In The Last Decade

Borja Millán

25 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Borja Millán Spain 19 758 318 252 168 105 26 868
Salvador Gutiérrez Spain 17 585 0.8× 251 0.8× 304 1.2× 140 0.8× 52 0.5× 43 811
Anna Kicherer Germany 15 576 0.8× 237 0.7× 113 0.4× 130 0.8× 101 1.0× 32 658
Katja Herzog Germany 14 537 0.7× 212 0.7× 104 0.4× 123 0.7× 90 0.9× 36 611
Mark J. Pavek United States 16 869 1.1× 288 0.9× 84 0.3× 405 2.4× 170 1.6× 59 1.1k
V. Ostrovsky Israel 11 533 0.7× 260 0.8× 236 0.9× 140 0.8× 96 0.9× 13 863
Lutz Damerow Germany 20 768 1.0× 129 0.4× 154 0.6× 41 0.2× 171 1.6× 72 1.1k
Misha T. Kwasniewski United States 12 554 0.7× 218 0.7× 143 0.6× 214 1.3× 49 0.5× 28 720
Angelo Petrozza Italy 18 958 1.3× 111 0.3× 92 0.4× 65 0.4× 34 0.3× 43 1.3k
Haiyong Weng China 16 779 1.0× 491 1.5× 366 1.5× 63 0.4× 199 1.9× 43 1.2k
Juan Fernández‐Novales Spain 19 589 0.8× 216 0.7× 632 2.5× 331 2.0× 34 0.3× 31 1.0k

Countries citing papers authored by Borja Millán

Since Specialization
Citations

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

Fields of papers citing papers by Borja Millán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borja Millán

This figure shows the co-authorship network connecting the top 25 collaborators of Borja Millán. A scholar is included among the top collaborators of Borja Millán 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 Borja Millán. Borja Millán 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.
Millán, Borja, et al.. (2022). Methodology for Olive Fruit Quality Assessment by Means of a Low-Cost Multispectral Device. Agronomy. 12(5). 979–979. 8 indexed citations
2.
Millán, Borja, et al.. (2022). New, Low-Cost, Hand-Held Multispectral Device for In-Field Fruit-Ripening Assessment. Agriculture. 13(1). 4–4. 14 indexed citations
3.
Millán, Borja, et al.. (2020). A New Low-Cost Device Based on Thermal Infrared Sensors for Olive Tree Canopy Temperature Measurement and Water Status Monitoring. Remote Sensing. 12(4). 723–723. 37 indexed citations
4.
Ponce, Juan, Arturo Aquino, Borja Millán, & José Manuel Andújar. (2019). Automatic Counting and Individual Size and Mass Estimation of Olive-Fruits Through Computer Vision Techniques. IEEE Access. 7. 59451–59465. 46 indexed citations
5.
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
6.
Diago, María P., et al.. (2019). On‐the‐go assessment of vineyard canopy porosity, bunch and leaf exposure by image analysis. Australian Journal of Grape and Wine Research. 25(3). 363–374. 23 indexed citations
7.
Aquino, Arturo, et al.. (2018). vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis. Computers and Electronics in Agriculture. 148. 19–28. 43 indexed citations
8.
Ponce, Juan, Arturo Aquino, Borja Millán, & José Manuel Andújar. (2018). Olive-Fruit Mass and Size Estimation Using Image Analysis and Feature Modeling. Sensors. 18(9). 2930–2930. 29 indexed citations
9.
Aquino, Arturo, Borja Millán, María P. Diago, & Javier Tardáguila. (2017). Automated early yield prediction in vineyards from on-the-go image acquisition. Computers and Electronics in Agriculture. 144. 26–36. 74 indexed citations
10.
Aquino, Arturo, María P. Diago, Borja Millán, & Javier Tardáguila. (2017). A new methodology for estimating the grapevine-berry number per cluster using image analysis. Biosystems Engineering. 156. 80–95. 57 indexed citations
11.
Millán, Borja, Arturo Aquino, María P. Diago, & Javier Tardáguila. (2016). Image analysis‐based modelling for flower number estimation in grapevine. Journal of the Science of Food and Agriculture. 97(3). 784–792. 28 indexed citations
12.
Aquino, Arturo, Borja Millán, Salvador Gutiérrez, & Javier Tardáguila. (2015). Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis. Computers and Electronics in Agriculture. 119. 92–104. 35 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.
Diago, María P., Alícia Pou, Borja Millán, et al.. (2014). ASSESSMENT OF GRAPEVINE WATER STATUS FROM HYPERSPECTRAL IMAGING OF LEAVES. Acta Horticulturae. 89–96. 11 indexed citations
15.
Diago, María P., Javier Tardáguila, Nuria Aleixos, et al.. (2014). Assessment of cluster yield components by image analysis. Journal of the Science of Food and Agriculture. 95(6). 1274–1282. 44 indexed citations
16.
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
17.
Diago, María P., Zenaida Guadalupe, J. Baluja, Borja Millán, & Javier Tardáguila. (2013). Appraisal of wine color and phenols from a non-invasive grape berry fluorescence method. OENO One. 47(1). 55–55. 3 indexed citations
18.
Tardáguila, Javier, María P. Diago, Borja Millán, et al.. (2013). APPLICATIONS OF COMPUTER VISION TECHNIQUES IN VITICULTURE TO ASSESS CANOPY FEATURES, CLUSTER MORPHOLOGY AND BERRY SIZE. Acta Horticulturae. 978(978). 77–84. 8 indexed citations
19.
Cubero, Sergio, María P. Diago, J. Blasco, et al.. (2013). A new method for pedicel/peduncle detection and size assessment of grapevine berries and other fruits by image analysis. Biosystems Engineering. 117. 62–72. 45 indexed citations
20.
Diago, María P., et al.. (2012). Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions. Sensors. 12(12). 16988–17006. 114 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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