Iván Amaya

1.0k total citations
100 papers, 667 citations indexed

About

Iván Amaya is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Iván Amaya has authored 100 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 32 papers in Industrial and Manufacturing Engineering and 18 papers in Computational Theory and Mathematics. Recurrent topics in Iván Amaya's work include Metaheuristic Optimization Algorithms Research (33 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Scheduling and Optimization Algorithms (14 papers). Iván Amaya is often cited by papers focused on Metaheuristic Optimization Algorithms Research (33 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Scheduling and Optimization Algorithms (14 papers). Iván Amaya collaborates with scholars based in Mexico, Colombia and Venezuela. Iván Amaya's co-authors include José Carlos Ortíz-Bayliss, Rodrigo Correa, Jorge M. Cruz‐Duarte, Hugo Terashima‐Marín, Santiago Enrique Conant-Pablos, Yong Shi, Juan Gabriel Avina‐Cervantes, Arturo García-Pérez, Nelishia Pillay and Héctor G. Ceballos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Thermal Engineering.

In The Last Decade

Iván Amaya

88 papers receiving 645 citations

Peers

Iván Amaya

IME

CTM

MSOR

Sebastian Schmitt Germany

Felipe Campelo Brazil

Hira Zaheer India

Qinqin Fan China

Shubin Tan China

Jing Jie China

Kun Mao China

Meie Shen China

Muhammad Asif Jan Pakistan

Rahul Khandelwal India

Sebastian Schmitt Germany

Iván Amaya

251 ×0.9

78 ×0.3

IME

202 ×1.4

CTM

47 ×0.5

80 ×0.9

MSOR

Citations per year, relative to Iván Amaya Iván Amaya (= 1×) peers Sebastian Schmitt

Countries citing papers authored by Iván Amaya

Since Specialization

Citations

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

Fields of papers citing papers by Iván Amaya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iván Amaya

This figure shows the co-authorship network connecting the top 25 collaborators of Iván Amaya. A scholar is included among the top collaborators of Iván Amaya 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 Iván Amaya. Iván Amaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cruz‐Duarte, Jorge M., et al.. (2024). Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems. Swarm and Evolutionary Computation. 89. 101616–101616. 4 indexed citations

Cruz‐Duarte, Jorge M., et al.. (2024). Selection hyper-heuristics and job shop scheduling problems: How does instance size influence performance?. Journal of Scheduling. 28(1). 85–99. 1 indexed citations

Avina‐Cervantes, Juan Gabriel, et al.. (2024). Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-Heuristic Approach. Fractal and Fractional. 8(4). 223–223. 3 indexed citations

Cruz‐Duarte, Jorge M., et al.. (2023). Forecasting PM2.5 concentration levels using shallow machine learning models on the Monterrey Metropolitan Area in Mexico. Atmospheric Pollution Research. 14(11). 101898–101898. 3 indexed citations

Amaya, Iván, et al.. (2023). A systematic review of metaheuristic algorithms in electric power systems optimization. Applied Soft Computing. 150. 111047–111047. 30 indexed citations

Ortíz-Bayliss, José Carlos, et al.. (2021). A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem. Applied Sciences. 11(21). 10209–10209. 8 indexed citations

Cruz‐Duarte, Jorge M., Iván Amaya, José Carlos Ortíz-Bayliss, Hugo Terashima‐Marín, & Yong Shi. (2020). CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search. SoftwareX. 12. 100628–100628. 15 indexed citations

Amaya, Iván, et al.. (2019). Evolutionary-based tailoring of synthetic instances for the Knapsack problem. Soft Computing. 23(23). 12711–12728. 21 indexed citations

Devera, Rodolfo, et al.. (2015). Prevalencia de parásitos intestinales en escolares de Ciudad Bolívar, Venezuela: comparación entre dos períodos. Redalyc (Universidad Autónoma del Estado de México). 43(2). 122–129. 3 indexed citations

10.

Amaya, Iván, et al.. (2014). Enteroparásitos de interés médico en ejemplares de Achatina fulica capturados en Ciudad Bolívar, estado Bolívar, Venezuela. Revista Vitae. 3.

11.

Devera, Rodolfo, et al.. (2014). Prevalencia de parásitos intestinales en habitantes de una comunidad rural del estado Bolívar, Venezuela.. Redalyc (Universidad Autónoma del Estado de México). 42(1). 22–31. 1 indexed citations

12.

Devera, Rodolfo, et al.. (2014). Seronegatividad para la infección chagásica en la comunidad la Carolina, estado Bolívar, Venezuela. Redalyc (Universidad Autónoma del Estado de México). 26(3). 347–352. 1 indexed citations

13.

Devera, Rodolfo, et al.. (2014). Parásitos intestinales en habitantes de una comunidad urbana de Ciudad Bolívar, estado Bolívar, Venezuela. Revista Vitae. 1. 1 indexed citations

14.

Amaya, Iván, et al.. (2013). Improved roasting of some colombian gold ores. SHILAP Revista de lepidopterología. 9 indexed citations

15.

Amaya, Iván, et al.. (2013). CONTROL DE CALIDAD EN EL DIAGNÓSTICO COPROPARASITOLÓGICO EN LABORATORIOS CLÍNICOS PÚBLICOS DE CIUDAD BOLÍVAR, VENEZUELA. Redalyc (Universidad Autónoma del Estado de México). 25(2). 166–175.

16.

Amaya, Iván & Rodrigo Correa. (2012). ELECTROMAGNETIC HEATING AS A WAY OF CUTTING COSTS WHILE SAVING ENERGY: TIME EVOLUTION. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 11(20). 215–226. 2 indexed citations

17.

Amaya, Iván, et al.. (2011). REAL ROOTS OF NONLINEAR SYSTEMS OF EQUATIONS THROUGH A METAHEURISTIC ALGORITHM. SHILAP Revista de lepidopterología. 9 indexed citations

18.

Correa, Rodrigo, et al.. (2011). Hybrid Meta-Heuristic Algorithms for Minimizing Entropy in Heat Transfer Problems that May Be Present in Electronic Circuits. 15(2). 403–421. 2 indexed citations

19.

Correa, Rodrigo, et al.. (2011). Uso de algoritmos metaheurísticos híbridos para la minimización de entropía en problemas de transferencia de calor en circuitos electrónicos. 15(2). 403–421. 3 indexed citations

20.

Devera, Rodolfo, et al.. (2010). Protozoarios en cavidad bucal de escolares de Ciudad Bolívar, estado Bolívar, Venezuela. Redalyc (Universidad Autónoma del Estado de México). 30(2). 109–113. 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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