Ángel Pinto

414 total citations
27 papers, 246 citations indexed

About

Ángel Pinto is a scholar working on Information Systems, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ángel Pinto has authored 27 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Ángel Pinto's work include Precipitation Measurement and Analysis (3 papers), Animal Behavior and Welfare Studies (3 papers) and Smart Agriculture and AI (3 papers). Ángel Pinto is often cited by papers focused on Precipitation Measurement and Analysis (3 papers), Animal Behavior and Welfare Studies (3 papers) and Smart Agriculture and AI (3 papers). Ángel Pinto collaborates with scholars based in Colombia, Venezuela and Spain. Ángel Pinto's co-authors include José Aguilar, Rodrigo García, Mauricio Toro, José Antonio Gutiérrez, Yezid Donoso, Francisco Javier Rodríguez Díaz, Christian Correa, Luiz da Silva Mello and José L. Paredes and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ángel Pinto

16 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ángel Pinto Colombia 5 68 67 63 54 25 27 246
Malika Belkadi Algeria 10 92 1.4× 56 0.8× 84 1.3× 33 0.6× 16 0.6× 23 328
Mauricio Toro Colombia 10 68 1.0× 69 1.0× 63 1.0× 66 1.2× 29 1.2× 27 388
Wulandari Wulandari Indonesia 9 87 1.3× 62 0.9× 57 0.9× 27 0.5× 27 1.1× 67 316
Victor Bloch Finland 10 81 1.2× 93 1.4× 48 0.8× 87 1.6× 26 1.0× 15 253
Ronghua Gao China 11 110 1.6× 95 1.4× 73 1.2× 113 2.1× 35 1.4× 32 309
Vanessa Weber Brazil 10 80 1.2× 92 1.4× 70 1.1× 104 1.9× 49 2.0× 36 335
Adair da Silva Oliveira Brazil 8 59 0.9× 70 1.0× 46 0.7× 173 3.2× 33 1.3× 12 373
Rachida Aoudjit Algeria 9 41 0.6× 24 0.4× 44 0.7× 57 1.1× 8 0.3× 19 286
Jaime Alonso Spain 10 33 0.5× 92 1.4× 57 0.9× 41 0.8× 122 4.9× 19 378
Hong-Hee Chang South Korea 9 132 1.9× 148 2.2× 57 0.9× 50 0.9× 25 1.0× 28 359

Countries citing papers authored by Ángel Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángel Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Pinto. A scholar is included among the top collaborators of Ángel Pinto 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 Ángel Pinto. Ángel Pinto 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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Aguilar, José, et al.. (2024). Automatic Spell-Checking System for Spanish Based on the Ar2p Neural Network Model. Computers. 13(3). 76–76. 3 indexed citations
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Aguilar, José, et al.. (2024). Autonomous Cycles of Data Analysis Tasks for the Automation of the Production Chain of MSMEs for the Agroindustrial Sector. Information. 15(2). 86–86. 2 indexed citations
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García, Rodrigo, José Aguilar, & Ángel Pinto. (2023). An autonomous system for the self-supervision of animal fattening in the context of precision livestock farming. Future Generation Computer Systems. 150. 220–231. 5 indexed citations
10.
Pinto, Ángel, et al.. (2023). Preliminary rain rate statistics with one‐minute integration time for radio propagation uses in Venezuela. Electronics Letters. 59(6). 2 indexed citations
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García, Rodrigo, et al.. (2022). Autonomic computing in a beef-production process for Precision Livestock Farming. Journal of Industrial Information Integration. 31. 100425–100425. 9 indexed citations
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Pinto, Ángel, et al.. (2022). Evaluation of 1-Minute Integration Time Rain Rate Statistics in Ecuador for Radio Propagation Applications. IEEE Antennas and Wireless Propagation Letters. 21(7). 1298–1302. 3 indexed citations
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Aguilar, José, et al.. (2021). An Adaptive System for Emerging Serious Games Using a Swarm Intelligence Algorithm. IEEE Transactions on Games. 14(4). 598–609.
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Aguilar, José, et al.. (2018). Data analysis smart systems in a nanodevices - based middleware. Contemporary Engineering Sciences. 11(94). 4665–4679. 2 indexed citations
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Pinto, Ángel, et al.. (2017). Nuevas Estrategias para un Plan de Uso Eficiente de la Energía Eléctrica. SHILAP Revista de lepidopterología.
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Pinto, Ángel, et al.. (2017). Diseño de una estrategia de control difuso aplicada al proceso de ultracongelación de alimentos. Ingeniare. Revista chilena de ingeniería. 25(1). 70–84.
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Pinto, Ángel, et al.. (2017). Improved ITU‐R model for digital terrestrial television propagation path loss prediction. Electronics Letters. 53(13). 832–834. 5 indexed citations
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Pinto, Ángel, et al.. (1983). New ammonia process reduces costs. 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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