Ana Carolina Lorena

62 papers and 1.3k indexed citations i.

About

Ana Carolina Lorena is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ana Carolina Lorena has authored 62 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Ana Carolina Lorena’s work include Machine Learning and Data Classification (27 papers), Imbalanced Data Classification Techniques (17 papers) and Machine Learning and Algorithms (11 papers). Ana Carolina Lorena is often cited by papers focused on Machine Learning and Data Classification (27 papers), Imbalanced Data Classification Techniques (17 papers) and Machine Learning and Algorithms (11 papers). Ana Carolina Lorena collaborates with scholars based in Brazil, Spain and Germany. Ana Carolina Lorena's co-authors include André C. P. L. F. de Carvalho, Luís P. F. Garcia, João Gama, Marcílio C. P. de Souto, Lucas R. Trambaiolli, Renato Anghinah, Francisco J. Fraga, Jens Lehmann, Tin Kam Ho and Newton Spolaôr and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ana Carolina Lorena i

Fields of papers citing papers by Ana Carolina Lorena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Carolina Lorena. 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 Ana Carolina Lorena. The network helps show where Ana Carolina Lorena may publish in the future.

Countries citing papers authored by Ana Carolina Lorena

Since Specialization
Citations

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