Madaín Pérez‐Patricio

449 total citations
30 papers, 305 citations indexed

About

Madaín Pérez‐Patricio is a scholar working on Electrical and Electronic Engineering, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Madaín Pérez‐Patricio has authored 30 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 7 papers in Plant Science and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Madaín Pérez‐Patricio's work include Smart Agriculture and AI (6 papers), Advanced Vision and Imaging (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Madaín Pérez‐Patricio is often cited by papers focused on Smart Agriculture and AI (6 papers), Advanced Vision and Imaging (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). Madaín Pérez‐Patricio collaborates with scholars based in Mexico, France and Argentina. Madaín Pérez‐Patricio's co-authors include Jorge Luis Camas‐Anzueto, Francisco‐Ronay López‐Estrada, Elías N. Escobar-Gómez, R. Grajales-Coutiño, Yvon Voisin, Federico Antonio Gutiérrez-Miceli, Mohammed Chadli, Guillermo Valencia‐Palomo, H. León and Rocío Meza‐Gordillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Madaín Pérez‐Patricio

27 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madaín Pérez‐Patricio Mexico 9 77 61 59 46 36 30 305
Jorge Luis Camas‐Anzueto Mexico 13 79 1.0× 59 1.0× 69 1.2× 134 2.9× 67 1.9× 50 453
Yuchao Wang China 13 132 1.7× 92 1.5× 33 0.6× 35 0.8× 74 2.1× 45 437
Jiaming Qi China 10 98 1.3× 74 1.2× 144 2.4× 16 0.3× 68 1.9× 30 431
Jiahua Wu China 10 214 2.8× 27 0.4× 66 1.1× 21 0.5× 22 0.6× 21 319
Zhiliang Kang China 11 61 0.8× 30 0.5× 38 0.6× 42 0.9× 110 3.1× 40 389
Miguel De‐la‐Torre Mexico 10 112 1.5× 24 0.4× 93 1.6× 14 0.3× 61 1.7× 34 353
Silvia Satorres Martínez Spain 10 33 0.4× 57 0.9× 124 2.1× 37 0.8× 86 2.4× 37 396
Yunan Hu China 11 76 1.0× 152 2.5× 29 0.5× 49 1.1× 26 0.7× 80 535
Hui Luo China 12 64 0.8× 63 1.0× 21 0.4× 173 3.8× 56 1.6× 44 418

Countries citing papers authored by Madaín Pérez‐Patricio

Since Specialization
Citations

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

Fields of papers citing papers by Madaín Pérez‐Patricio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madaín Pérez‐Patricio. 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 Madaín Pérez‐Patricio. The network helps show where Madaín Pérez‐Patricio may publish in the future.

Co-authorship network of co-authors of Madaín Pérez‐Patricio

This figure shows the co-authorship network connecting the top 25 collaborators of Madaín Pérez‐Patricio. A scholar is included among the top collaborators of Madaín Pérez‐Patricio 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 Madaín Pérez‐Patricio. Madaín Pérez‐Patricio 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.
Pérez‐Patricio, Madaín, et al.. (2025). Enhancement of the dynamic range of the measurement of pH using a sensitive layer of methyl red-lophine. Optics Continuum. 4(4). 939–939.
2.
Pacheco, Jesús, et al.. (2024). A Novel Unsupervised Anomaly Detection Framework for Early Fault Detection in Complex Industrial Settings. IEEE Access. 12. 181823–181845. 3 indexed citations
3.
Grajales-Coutiño, R., et al.. (2024). A film composed of PEDOT:PSS/PVA as a sensitive medium for pH sensor in optical fiber. Measurement. 233. 114750–114750. 3 indexed citations
4.
Torres, Jorge Antonio Orozco, et al.. (2024). TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications. Applied Sciences. 14(24). 11912–11912.
5.
Pérez‐Patricio, Madaín, et al.. (2024). Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation. IEEE Access. 12. 186255–186276.
6.
Ruíz-Valdiviezo, Víctor Manuel, et al.. (2024). Design strategies based on UV-C LED characterization to enhance Escherichia coli inactivation. Journal of Water Process Engineering. 62. 105423–105423. 2 indexed citations
7.
Pérez‐Patricio, Madaín, et al.. (2022). Feasibility of Pulsed Thermography for Moisture Estimation. Journal of Applied Research and Technology. 20(1). 48–57. 2 indexed citations
8.
Pérez‐Patricio, Madaín, et al.. (2022). Lamb Behaviors Analysis Using a Predictive CNN Model and a Single Camera. Applied Sciences. 12(9). 4712–4712. 7 indexed citations
9.
Pérez‐Patricio, Madaín, et al.. (2022). Towards an Approach for Filtration Efficiency Estimation of Consumer-Grade Face Masks Using Thermography. Applied Sciences. 12(4). 2071–2071. 2 indexed citations
10.
Pérez‐Patricio, Madaín, et al.. (2022). Toward an approach for moisture estimation during hot air drying of neem leaves (Azadirachta indica) using pulsed phase thermography. Drying Technology. 41(4). 480–491. 4 indexed citations
11.
Camas‐Anzueto, Jorge Luis, et al.. (2021). Instrumentation of the light refraction for measuring the refractive index of transparent liquids. Optical Engineering. 60(5). 2 indexed citations
12.
Camas‐Anzueto, Jorge Luis, et al.. (2021). Demonstration of improving the sensitivity of a fiber optic temperature sensor using the wavelength of maximum absorption of the lophine. Measurement. 187. 110378–110378. 6 indexed citations
13.
Escobar-Gómez, Elías N., et al.. (2019). Modelo para la determinación de la ruta más corta con funciones experimentales para arcos difusos. Research in Computing Science. 148(8). 317–330. 1 indexed citations
14.
López‐Estrada, Francisco‐Ronay, et al.. (2019). Actuator fault detection and isolation on a quadrotor unmanned aerial vehicle modeled as a linear parameter-varying system. SHILAP Revista de lepidopterología. 52(9-10). 1228–1239. 54 indexed citations
15.
Pérez‐Patricio, Madaín, et al.. (2018). An FPGA‐based smart camera for accurate chlorophyll estimations. International Journal of Circuit Theory and Applications. 46(9). 1663–1674. 1 indexed citations
16.
Pérez‐Patricio, Madaín, Jorge Luis Camas‐Anzueto, Federico Antonio Gutiérrez-Miceli, et al.. (2018). Optical Method for Estimating the Chlorophyll Contents in Plant Leaves. Sensors. 18(2). 650–650. 92 indexed citations
17.
Pérez‐Patricio, Madaín, et al.. (2016). An FPGA stereo matching unit based on fuzzy logic. Microprocessors and Microsystems. 42. 87–99. 14 indexed citations
18.
Arias-Estrada, Miguel, et al.. (2015). An FPGA 2D-convolution unit based on the CAPH language. Journal of Real-Time Image Processing. 16(2). 305–319. 10 indexed citations
19.
Pérez‐Patricio, Madaín, et al.. (2013). Programming Real-Time Motion Control Robot Prototype. Journal of Applied Research and Technology. 11(6). 927–931. 2 indexed citations
20.
Camas‐Anzueto, Jorge Luis, et al.. (2013). Novel approach to indirect measurements of alternating current based on the interrogation of an all-fiber laser. Measurement. 46(10). 4108–4113. 2 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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