Aurora Pozo

69 papers and 756 indexed citations i.

About

Aurora Pozo is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Aurora Pozo has authored 69 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 27 papers in Computational Theory and Mathematics and 16 papers in Software. Recurrent topics in Aurora Pozo’s work include Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (27 papers). Aurora Pozo is often cited by papers focused on Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (27 papers) and Evolutionary Algorithms and Applications (27 papers). Aurora Pozo collaborates with scholars based in Brazil, Spain and United Kingdom. Aurora Pozo's co-authors include Sílvia Regina Vergílio, Roberto Santana, Elias P. Duarte, Wesley K. G. Assunção, Thelma Elita Colanzi, Alexander Mendiburu, Richard A. Gonçalves, Bruno H. Meyer, José A. Lozano and Carolina P. Almeida and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Aurora Pozo i

Fields of papers citing papers by Aurora Pozo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Aurora Pozo

Since Specialization
Citations

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