Marcelo Gattass

118 papers and 2.2k indexed citations i.

About

Marcelo Gattass is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Marcelo Gattass has authored 118 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Computer Vision and Pattern Recognition and 38 papers in Artificial Intelligence. Recurrent topics in Marcelo Gattass’s work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (28 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Marcelo Gattass is often cited by papers focused on AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (28 papers) and Lung Cancer Diagnosis and Treatment (18 papers). Marcelo Gattass collaborates with scholars based in Brazil, United States and United Kingdom. Marcelo Gattass's co-authors include Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Antônio Oseas de Carvalho Filho, Rodolfo Acatauassú Nunes, Hélio Lopes, Giovanni L. F. da Silva, João Otávio Bandeira Diniz, Geraldo Bráz, João Dallyson Sousa de Almeida and Aura Conci and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Marcelo Gattass i

Fields of papers citing papers by Marcelo Gattass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marcelo Gattass

Since Specialization
Citations

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