Manuel Toledano‐Ayala

997 total citations
44 papers, 690 citations indexed

About

Manuel Toledano‐Ayala is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Manuel Toledano‐Ayala has authored 44 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 8 papers in Artificial Intelligence and 6 papers in Computer Networks and Communications. Recurrent topics in Manuel Toledano‐Ayala's work include Indoor and Outdoor Localization Technologies (5 papers), Water Quality Monitoring Technologies (4 papers) and Smart Agriculture and AI (3 papers). Manuel Toledano‐Ayala is often cited by papers focused on Indoor and Outdoor Localization Technologies (5 papers), Water Quality Monitoring Technologies (4 papers) and Smart Agriculture and AI (3 papers). Manuel Toledano‐Ayala collaborates with scholars based in Mexico, Canada and United States. Manuel Toledano‐Ayala's co-authors include Genaro M. Soto-Zarazúa, Edgar A. Rivas-Araiza, Philipp Richter, Y.J. Acosta-Silva, O. Zelaya-Ángel, Enrique Rico-García, Irineo Torres‐Pacheco, Roberto V. Carrillo‐Serrano, Juan Carlos Jáuregui-Correa and Yasuhiro Matsumoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Manuel Toledano‐Ayala

41 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Toledano‐Ayala Mexico 14 159 145 95 83 63 44 690
Zhuo Zhang China 18 131 0.8× 198 1.4× 150 1.6× 32 0.4× 78 1.2× 74 938
Jianping Wang China 18 86 0.5× 147 1.0× 82 0.9× 101 1.2× 37 0.6× 94 1.1k
Edwin Sybingco Philippines 19 363 2.3× 138 1.0× 90 0.9× 48 0.6× 57 0.9× 164 1.3k
Chengliang Wang China 14 120 0.8× 175 1.2× 58 0.6× 80 1.0× 78 1.2× 66 604
Qingling Duan China 20 197 1.2× 151 1.0× 129 1.4× 32 0.4× 27 0.4× 61 1.4k
Narendra Khatri India 16 141 0.9× 83 0.6× 57 0.6× 82 1.0× 34 0.5× 46 751
Kamarul Hawari Ghazali Malaysia 16 103 0.6× 144 1.0× 106 1.1× 34 0.4× 67 1.1× 101 892
Mongkol Ekpanyapong Thailand 17 116 0.7× 270 1.9× 98 1.0× 175 2.1× 40 0.6× 81 939
Alejandro Castillo-Atoche Mexico 11 70 0.4× 233 1.6× 37 0.4× 55 0.7× 40 0.6× 66 525
Sunil Pathak India 14 122 0.8× 122 0.8× 91 1.0× 127 1.5× 16 0.3× 87 752

Countries citing papers authored by Manuel Toledano‐Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Toledano‐Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manuel Toledano‐Ayala. 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 Manuel Toledano‐Ayala. The network helps show where Manuel Toledano‐Ayala may publish in the future.

Co-authorship network of co-authors of Manuel Toledano‐Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Toledano‐Ayala. A scholar is included among the top collaborators of Manuel Toledano‐Ayala 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 Manuel Toledano‐Ayala. Manuel Toledano‐Ayala 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.
Gómez‐Castro, Fernando Israel, et al.. (2025). Design and optimization of shell-and-tube heat exchangers through ANN and H-ANN models. Process Safety and Environmental Protection. 220. 75–85.
2.
Rivas-Araiza, Edgar A., et al.. (2023). A Novel Methodology for Classifying Electrical Disturbances Using Deep Neural Networks. SHILAP Revista de lepidopterología. 11(4). 82–82. 2 indexed citations
3.
Acosta-Silva, Y.J., et al.. (2023). Study of the Effects of Er Doping on the Physical Properties of CdSe Thin Films. Magnetochemistry. 9(4). 107–107. 4 indexed citations
4.
5.
Pedraza‐Ortega, Jesús Carlos, Manuel Toledano‐Ayala, Marco Antonio Aceves-Fernández, et al.. (2022). Performance Evaluation of Different Object Detection Models for the Segmentation of Optical Cups and Discs. Diagnostics. 12(12). 3031–3031. 10 indexed citations
6.
Toledano‐Ayala, Manuel, et al.. (2022). Effect of Two Strains of Stenotrophomonas rhizophila Isolated from Compost on the Growth of Tomato, Lettuce, and Jalapeno Pepper. International Journal of Agriculture and Biology. 27(6). 1 indexed citations
7.
Soto-Zarazúa, Genaro M., et al.. (2022). An Improved Method to Obtain Fish Weight Using Machine Learning and NIR Camera with Haar Cascade Classifier. Applied Sciences. 13(1). 69–69. 11 indexed citations
8.
Ohland, Matthew, et al.. (2021). Logit models, the area under receiver characteristic curves, sensitivity, and specificity for Co-enrollment density in college networks dataset.. SHILAP Revista de lepidopterología. 39. 107509–107509. 1 indexed citations
9.
Rivas-Araiza, Edgar A., et al.. (2020). Blockchain Mechanism and Symmetric Encryption in A Wireless Sensor Network. Sensors. 20(10). 2798–2798. 53 indexed citations
10.
Toledano‐Ayala, Manuel, et al.. (2020). Descriptor Generation and Optimization for a Specific Outdoor Environment. IEEE Access. 8. 52550–52565. 4 indexed citations
11.
Perez-Ramirez, Carlos A., Aurelio Domínguez-González, Manuel Toledano‐Ayala, Juan P. Amézquita-Sánchez, & Martin Valtierra‐Rodriguez. (2020). Model reference Neural Network-based methodology for vibration control in a five-story steel structure. 1–6. 1 indexed citations
12.
Acosta-Silva, Y.J., Manuel Toledano‐Ayala, G. Torres‐Delgado, et al.. (2019). Nanostructured CeO2 Thin Films Prepared by the Sol-Gel Dip-Coating Method with Anomalous Behavior of Crystallite Size and Bandgap. Journal of Nanomaterials. 2019. 1–8. 15 indexed citations
13.
14.
Toledano‐Ayala, Manuel, et al.. (2018). Project management in higher education institutions in Mexico: a case study. International journal of engineering education. 34(4). 1335–1346. 1 indexed citations
15.
Ramos-Arreguín, Juan Manuel, et al.. (2017). Horn & Schunck parameter characterization of the gradient based method for Optical Flow computing. 1–6. 3 indexed citations
16.
Richter, Philipp, et al.. (2015). A rigorous evaluation of Gaussian process models for WLAN fingerprinting. 1–10. 5 indexed citations
17.
Richter, Philipp, Manuel Toledano‐Ayala, Genaro M. Soto-Zarazúa, & Edgar A. Rivas-Araiza. (2014). A survey of hybridisation methods of GNSS and wireless LAN based positioning system. Journal of Ambient Intelligence and Smart Environments. 6(6). 723–738. 5 indexed citations
18.
Soto-Zarazúa, Genaro M., Enrique Rico-García, & Manuel Toledano‐Ayala. (2011). Temperature effect on fish culture tank facilities inside greenhouse. International Journal of the Physical Sciences. 6(5). 1039–1044. 10 indexed citations
19.
Rico-García, Enrique, et al.. (2011). Tomato quality evaluation with image processing: A review. African Journal of Agricultural Research. 6(14). 3333–3339. 47 indexed citations
20.
Herrera-Ruíz, Gilberto, et al.. (2010). Development of efficient recirculation system for Tilapia (Oreochromis niloticus) culture using low cost materials. AFRICAN JOURNAL OF BIOTECHNOLOGY. 9(32). 5203–5211. 17 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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