Mauricio Toro

628 total citations
27 papers, 388 citations indexed

About

Mauricio Toro is a scholar working on Artificial Intelligence, Public Health, Environmental and Occupational Health and Plant Science. According to data from OpenAlex, Mauricio Toro has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Plant Science. Recurrent topics in Mauricio Toro's work include Mosquito-borne diseases and control (4 papers), Cognitive Science and Mapping (4 papers) and Vehicle Routing Optimization Methods (3 papers). Mauricio Toro is often cited by papers focused on Mosquito-borne diseases and control (4 papers), Cognitive Science and Mapping (4 papers) and Vehicle Routing Optimization Methods (3 papers). Mauricio Toro collaborates with scholars based in Colombia, Venezuela and Spain. Mauricio Toro's co-authors include José Aguilar, Rodrigo García, Ángel Pinto, Arkaitz Artetxe, Basilio Sierra, E. Pérez, Raúl Ramos-Pollán, Alejandro Montoya, Raúl Mazo and Juan F. Cardona and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mauricio Toro

22 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mauricio Toro Colombia 10 98 69 68 66 63 27 388
Juan Manuel Rodríguez Argentina 15 181 1.8× 120 1.7× 95 1.4× 21 0.3× 32 0.5× 65 713
Daniel Andresen United States 16 32 0.3× 67 1.0× 89 1.3× 59 0.9× 47 0.7× 57 646
M. M. Pathan India 8 64 0.7× 103 1.5× 33 0.5× 111 1.7× 22 0.3× 44 494
Leonardo L. Giovanini Argentina 14 27 0.3× 135 2.0× 184 2.7× 50 0.8× 134 2.1× 65 612
Zuraida Abal Abas Malaysia 13 59 0.6× 32 0.5× 25 0.4× 22 0.3× 39 0.6× 83 470
Saleh Shahinfar Australia 9 38 0.4× 138 2.0× 69 1.0× 80 1.2× 57 0.9× 17 462
Xinxin Zhao China 13 53 0.5× 32 0.5× 13 0.2× 171 2.6× 17 0.3× 55 612
S. Vairamuthu India 11 26 0.3× 85 1.2× 37 0.5× 104 1.6× 59 0.9× 119 555
L. Paura Latvia 15 64 0.7× 36 0.5× 16 0.2× 78 1.2× 25 0.4× 79 746

Countries citing papers authored by Mauricio Toro

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio Toro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Toro

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Toro. A scholar is included among the top collaborators of Mauricio Toro 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 Mauricio Toro. Mauricio Toro 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.
Montoya, Alejandro, et al.. (2025). Machine-learning component for multi-start metaheuristics to solve the capacitated vehicle routing problem. Applied Soft Computing. 173. 112916–112916. 1 indexed citations
2.
Aguilar, José, et al.. (2025). A Fuzzy Classification System to Analyze the Yield of Cotton Production. International Journal of Information Technology & Decision Making. 1–24.
3.
Toro, Mauricio, et al.. (2024). Clinical applications of ultrasound imaging in dentistry: A comprehensive literature review. SHILAP Revista de lepidopterología. 4(2). 100086–100086. 1 indexed citations
4.
Aguilar, José, et al.. (2024). Different transfer learning approaches for insect pest classification in cotton. Applied Soft Computing. 153. 111283–111283. 11 indexed citations
5.
Aguilar, José, et al.. (2023). Case studies of clinical decision-making through prescriptive models based on machine learning. Computer Methods and Programs in Biomedicine. 242. 107829–107829. 7 indexed citations
6.
Aguilar, José, et al.. (2023). Federated learning approaches for fuzzy cognitive maps to support clinical decision-making in dengue. Engineering Applications of Artificial Intelligence. 123. 106371–106371. 18 indexed citations
7.
Montoya, Alejandro, et al.. (2023). A two-stage data-driven metaheuristic to predict last-mile delivery route sequences. Engineering Applications of Artificial Intelligence. 125. 106653–106653. 6 indexed citations
8.
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
9.
Aguilar, José, et al.. (2022). A clinical decision-support system for dengue based on fuzzy cognitive maps. Health Care Management Science. 25(4). 666–681. 29 indexed citations
10.
Aguilar, José, et al.. (2022). An autonomous cycle of data analysis tasks for the clinical management of dengue. Heliyon. 8(10). e10846–e10846. 10 indexed citations
11.
Aguilar, José, et al.. (2022). A Classification Model of Cotton Boll-Weevil Population. 1–5. 1 indexed citations
12.
Pérez, E., et al.. (2022). A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems. IEEE Access. 10. 72024–72036. 24 indexed citations
13.
Montoya, Alejandro, et al.. (2022). Machine-Learning Component for Multi-Start Metaheuristics to Solve the Capacitated Vehicle Routing Problem. SSRN Electronic Journal. 2 indexed citations
14.
Toro, Mauricio, et al.. (2021). Does vaporized hydrogen peroxide sterilization affect the geometrical properties of anatomic models and guides 3D printed from computed tomography images?. SHILAP Revista de lepidopterología. 7(1). 29–29. 8 indexed citations
15.
Aguilar, José, et al.. (2021). Dengue models based on machine learning techniques: A systematic literature review. Artificial Intelligence in Medicine. 119. 102157–102157. 40 indexed citations
16.
Fernández, Eduardo, et al.. (2020). Pulp calcifications in patients with diabetes mellitus. SHILAP Revista de lepidopterología.
17.
Fernández, Eduardo, et al.. (2020). Remoción de hidróxido de calcio del canal radicular con irrigación manual, sónica y ultrasónica. Revista Cubana de Investigaciones Biomédicas. 39(3). 1 indexed citations
18.
19.
Montefusco‐Siegmund, Rodrigo, et al.. (2018). Unsupervised visual discrimination learning of complex stimuli: Accuracy, bias and generalization. Vision Research. 148. 37–48. 4 indexed citations
20.
Toro, Mauricio, et al.. (2000). Estabilización de esquemas por molificación discreta. Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia). 102–116. 1 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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