Luis Miguel Antonio

8 papers and 197 indexed citations i.

About

Luis Miguel Antonio is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Nuclear and High Energy Physics. According to data from OpenAlex, Luis Miguel Antonio has authored 8 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 1 paper in Nuclear and High Energy Physics. Recurrent topics in Luis Miguel Antonio’s work include Advanced Multi-Objective Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (7 papers). Luis Miguel Antonio is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Evolutionary Algorithms and Applications (7 papers). Luis Miguel Antonio collaborates with scholars based in Mexico, Chile and Spain. Luis Miguel Antonio's co-authors include Carlos A. Coello Coello, Saúl Zapotecas–Martínez, María-Cristina Riff and Elizabeth Montero and has published in prestigious journals such as IEEE Access, IEEE Transactions on Evolutionary Computation and Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Luis Miguel Antonio i

Fields of papers citing papers by Luis Miguel Antonio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Miguel Antonio. 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 Luis Miguel Antonio. The network helps show where Luis Miguel Antonio may publish in the future.

Countries citing papers authored by Luis Miguel Antonio

Since Specialization
Citations

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