Leonardo Neves

24 papers and 731 indexed citations i.

About

Leonardo Neves is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo Neves has authored 24 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo Neves’s work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (5 papers). Leonardo Neves is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers) and Multimodal Machine Learning Applications (5 papers). Leonardo Neves collaborates with scholars based in United States, Brazil and China. Leonardo Neves's co-authors include Vı́tor Carvalho, Francesco Barbieri, José Camacho-Collados, Luis Espinosa-Anke, Seungwhan Moon, Neil Shah, Yozen Liu, Tong Zhao, Oliver J. Woodford and Meng Jiang and has published in prestigious journals such as Computers in Human Behavior, Future Generation Computer Systems and Clinics.

In The Last Decade

Co-authorship network of co-authors of Leonardo Neves i

Fields of papers citing papers by Leonardo Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leonardo Neves

Since Specialization
Citations

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