Mario García

30 papers and 499 indexed citations i.

About

Mario García is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software. According to data from OpenAlex, Mario García has authored 30 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Software. Recurrent topics in Mario García’s work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (6 papers) and Robotic Path Planning Algorithms (5 papers). Mario García is often cited by papers focused on Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (6 papers) and Robotic Path Planning Algorithms (5 papers). Mario García collaborates with scholars based in United States, Mexico and Argentina. Mario García's co-authors include Oscar Castillo, Patricia Melín, Roberto Sepúlveda, Oscar Montiel, Fevrier Valdez, José Soria, Cinthia Peraza, Luis Rodríguez, Wen-Whai Li and Marianne Berwick and has published in prestigious journals such as The Science of The Total Environment, The FASEB Journal and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Mario García i

Fields of papers citing papers by Mario García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario García

Since Specialization
Citations

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