Fabrízzio Soares

46 papers and 835 indexed citations i.

About

Fabrízzio Soares is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Fabrízzio Soares has authored 46 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Plant Science and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Fabrízzio Soares’s work include COVID-19 diagnosis using AI (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Smart Agriculture and AI (6 papers). Fabrízzio Soares is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Smart Agriculture and AI (6 papers). Fabrízzio Soares collaborates with scholars based in Brazil, United States and United Kingdom. Fabrízzio Soares's co-authors include Symone Gomes Soares Alcalá, Roberto da Piedade Francisco, João Basto, Gilberto Arantes Carrijo, Rafael T. Sousa, Oge Marques, Alexandre C. B. Delbem, Hélio Pedrini, Clarimar José Coelho and Hugo Alexandre Dantas do Nascimento and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Fabrízzio Soares i

Fields of papers citing papers by Fabrízzio Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrízzio Soares

Since Specialization
Citations

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