Jorge Luis Camas‐Anzueto

636 total citations
50 papers, 453 citations indexed

About

Jorge Luis Camas‐Anzueto is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jorge Luis Camas‐Anzueto has authored 50 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 11 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jorge Luis Camas‐Anzueto's work include Advanced Fiber Optic Sensors (16 papers), Advanced Fiber Laser Technologies (10 papers) and Photonic and Optical Devices (9 papers). Jorge Luis Camas‐Anzueto is often cited by papers focused on Advanced Fiber Optic Sensors (16 papers), Advanced Fiber Laser Technologies (10 papers) and Photonic and Optical Devices (9 papers). Jorge Luis Camas‐Anzueto collaborates with scholars based in Mexico, France and United States. Jorge Luis Camas‐Anzueto's co-authors include Madaín Pérez‐Patricio, H. León, R. Grajales-Coutiño, Elías N. Escobar-Gómez, G. Anzueto-Sánchez, Francisco‐Ronay López‐Estrada, Yvon Voisin, Federico Antonio Gutiérrez-Miceli, Guillermo Valencia‐Palomo and Carlos A. Hernández‐Gutiérrez and has published in prestigious journals such as IEEE Access, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Jorge Luis Camas‐Anzueto

46 papers receiving 435 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Luis Camas‐Anzueto Mexico 13 134 79 69 67 59 50 453
Young‐Duk Kim South Korea 12 86 0.6× 51 0.6× 47 0.7× 94 1.4× 17 0.3× 49 406
Jinxing Wang China 12 73 0.5× 107 1.4× 25 0.4× 68 1.0× 143 2.4× 48 568
Rongbiao Zhang China 14 111 0.8× 175 2.2× 27 0.4× 181 2.7× 16 0.3× 53 586
Madaín Pérez‐Patricio Mexico 9 46 0.3× 77 1.0× 59 0.9× 36 0.5× 61 1.0× 30 305
Lijia Xu China 19 86 0.6× 227 2.9× 80 1.2× 221 3.3× 63 1.1× 99 1.1k
Shichao Li China 13 149 1.1× 103 1.3× 57 0.8× 75 1.1× 24 0.4× 30 487
Srikanth Namuduri United States 7 62 0.5× 113 1.4× 19 0.3× 39 0.6× 39 0.7× 9 338
Roslina Mohd Sidek Malaysia 12 345 2.6× 50 0.6× 23 0.3× 102 1.5× 25 0.4× 115 547
Xuan Luo China 10 119 0.9× 134 1.7× 13 0.2× 390 5.8× 19 0.3× 18 843
Qixin He China 13 198 1.5× 13 0.2× 29 0.4× 68 1.0× 24 0.4× 44 588

Countries citing papers authored by Jorge Luis Camas‐Anzueto

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Luis Camas‐Anzueto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge Luis Camas‐Anzueto. 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 Jorge Luis Camas‐Anzueto. The network helps show where Jorge Luis Camas‐Anzueto may publish in the future.

Co-authorship network of co-authors of Jorge Luis Camas‐Anzueto

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Luis Camas‐Anzueto. A scholar is included among the top collaborators of Jorge Luis Camas‐Anzueto 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 Jorge Luis Camas‐Anzueto. Jorge Luis Camas‐Anzueto 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
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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
3.
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.
4.
Arau, J., et al.. (2022). HVAC Control System Using Predicted Mean Vote Index for Energy Savings in Buildings. Buildings. 12(1). 38–38. 17 indexed citations
5.
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
6.
León, H., Jorge Luis Camas‐Anzueto, Elías N. Escobar-Gómez, et al.. (2022). Design of an MPPT Technique for the Indirect Measurement of the Open-Circuit Voltage Applied to Thermoelectric Generators. Energies. 15(10). 3833–3833. 4 indexed citations
7.
Hernández‐Gutiérrez, Carlos A., et al.. (2022). Physical and technological analysis of the AlGaN-based UVC-LED: an extended discussion focused on cubic phase as an alternative for surface disinfection.. Revista Mexicana de Física. 68(2 Mar-Apr). 2 indexed citations
8.
Anzueto-Sánchez, G., et al.. (2022). Experimental demonstration of optical Vernier effect by cascading tapered single-mode optical fibres. Optical Fiber Technology. 70. 102869–102869. 7 indexed citations
9.
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
10.
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
11.
Hernández‐Gutiérrez, Carlos A., et al.. (2020). Optical, electrical, and chemical characterization of nanostructured InxGa1-xN formed by high fluence In+ ion implantation into GaN. Optical Materials. 111. 110541–110541. 13 indexed citations
12.
Anzueto-Sánchez, G., et al.. (2020). Switchable dual-wavelength erbium-doped fiber laser based on the broadband filtering performance of tapered long period fiber gratings. Laser Physics. 31(1). 15101–15101. 6 indexed citations
13.
López‐Estrada, Francisco‐Ronay, et al.. (2018). Sensor Fault Diagnosis Observer for an Electric Vehicle Modeled as a Takagi-Sugeno System. Journal of Sensors. 2018. 1–9. 13 indexed citations
14.
López‐Estrada, Francisco‐Ronay, et al.. (2018). Fault diagnosis observer for descriptor Takagi-Sugeno systems. Neurocomputing. 331. 10–17. 29 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.
Tlelo‐Cuautle, Esteban, et al.. (2014). Application of a Chaotic Oscillator in an Autonomous Mobile Robot. Journal of Electrical Engineering. 65(3). 157–162. 12 indexed citations
19.
20.
Beltrán-Pérez, G., et al.. (2002). Fiber bend losses produced by soft and swellable materials for hydrocarbon detection. Optics Communications. 204(1-6). 145–150. 11 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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