Mario Andrés Muñoz

43 papers and 685 indexed citations i.

About

Mario Andrés Muñoz is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Mario Andrés Muñoz has authored 43 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 7 papers in Biomedical Engineering. Recurrent topics in Mario Andrés Muñoz’s work include Metaheuristic Optimization Algorithms Research (18 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Machine Learning and Data Classification (10 papers). Mario Andrés Muñoz is often cited by papers focused on Metaheuristic Optimization Algorithms Research (18 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Machine Learning and Data Classification (10 papers). Mario Andrés Muñoz collaborates with scholars based in Australia, Colombia and Brazil. Mario Andrés Muñoz's co-authors include Kate Smith‐Miles, Michael Kirley, Saman Halgamuge, Yuan Sun, Sevvandi Kandanaarachchi, Laura Villanova, Davaatseren Baatar, Rob J. Hyndman, Adam L. Bryant and Luke Perraton and has published in prestigious journals such as European Journal of Operational Research, Journal of Biomechanics and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Mario Andrés Muñoz i

Fields of papers citing papers by Mario Andrés Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Andrés Muñoz. 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 Mario Andrés Muñoz. The network helps show where Mario Andrés Muñoz may publish in the future.

Countries citing papers authored by Mario Andrés Muñoz

Since Specialization
Citations

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

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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