Marcelo Ladeira

20 papers and 80 indexed citations i.

About

Marcelo Ladeira is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Marcelo Ladeira has authored 20 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Marcelo Ladeira’s work include Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (5 papers). Marcelo Ladeira is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Evolutionary Algorithms and Applications (5 papers). Marcelo Ladeira collaborates with scholars based in Brazil, Japan and France. Marcelo Ladeira's co-authors include Claus Aranha, Hélder Coelho, Cecília Dias Flores, Rosa María Vicari, Tetsuya Sakurai, João Carlos Souza, Márcio Victorino, Maristela Holanda, Gabriela Ochoa and Carlos Henrique Ferreira Camargo and has published in prestigious journals such as Artificial Intelligence in Medicine, Evolutionary Computation and Dementia & Neuropsychologia.

In The Last Decade

Co-authorship network of co-authors of Marcelo Ladeira i

Fields of papers citing papers by Marcelo Ladeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcelo Ladeira

Since Specialization
Citations

This map shows the geographic impact of Marcelo Ladeira'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 Marcelo Ladeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Ladeira 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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2025