Anísio Lacerda

26 papers and 265 indexed citations i.

About

Anísio Lacerda is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Anísio Lacerda has authored 26 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 8 papers in Information Systems. Recurrent topics in Anísio Lacerda’s work include Recommender Systems and Techniques (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Advanced Bandit Algorithms Research (5 papers). Anísio Lacerda is often cited by papers focused on Recommender Systems and Techniques (8 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Advanced Bandit Algorithms Research (5 papers). Anísio Lacerda collaborates with scholars based in Brazil, Portugal and France. Anísio Lacerda's co-authors include Gisele L. Pappa, Nívio Ziviani, Adriano Veloso, Marco Túlio Ribeiro, Edleno Silva de Moura, Flávio Luis Cardeal Pádua, Adriano C. M. Pereira, Daniel H. Dalip, Erickson R. Nascimento and Fabiano C. Botelho and has published in prestigious journals such as Information Sciences, Neurocomputing and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Anísio Lacerda i

Fields of papers citing papers by Anísio Lacerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Anísio Lacerda

Since Specialization
Citations

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