Juliano Pinto

About

Juliano Pinto is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Juliano Pinto has authored 6 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Juliano Pinto’s work include Video Surveillance and Tracking Methods (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Juliano Pinto is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Juliano Pinto collaborates with scholars based in Sweden, Brazil and Germany. Juliano Pinto's co-authors include Lennart Svensson, Yuxuan Xia, Henk Wymeersch, Eros Comunello, Peter Stoeter, Aldo von Wangenheim and Paulo R. Dellani and has published in prestigious journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Letters and Journal of Digital Imaging.

In The Last Decade

Co-authorship network of co-authors of Juliano Pinto i

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Fields of papers citing papers by Juliano Pinto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juliano Pinto

Since Specialization

Citations

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