Graça Bressan

26 papers and 325 indexed citations i.

About

Graça Bressan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Graça Bressan has authored 26 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 6 papers in Sociology and Political Science. Recurrent topics in Graça Bressan’s work include Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (5 papers) and Video Coding and Compression Technologies (4 papers). Graça Bressan is often cited by papers focused on Image and Video Quality Assessment (8 papers), Multimedia Communication and Technology (5 papers) and Video Coding and Compression Technologies (4 papers). Graça Bressan collaborates with scholars based in Brazil, United States and Italy. Graça Bressan's co-authors include Demóstenes Zegarra Rodríguez, Renata Lopes Rosa, Júlia Issy Abrahão, Renata Lopes Rosa, Zhou Wang, Eduardo Costa, José F. Rodrigues, Luciana Zaina, Carlos Eduardo Cugnasca and Marcos A. Simplício and has published in prestigious journals such as Sensors, IEEE Access and Computer Communications.

In The Last Decade

Co-authorship network of co-authors of Graça Bressan i

Fields of papers citing papers by Graça Bressan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Graça Bressan

Since Specialization
Citations

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