Carlos Ferraz

9 papers and 154 indexed citations i.

About

Carlos Ferraz is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Sociology and Political Science. According to data from OpenAlex, Carlos Ferraz has authored 9 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Information Systems and 2 papers in Sociology and Political Science. Recurrent topics in Carlos Ferraz’s work include Context-Aware Activity Recognition Systems (3 papers), Recommender Systems and Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Carlos Ferraz is often cited by papers focused on Context-Aware Activity Recognition Systems (3 papers), Recommender Systems and Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). Carlos Ferraz collaborates with scholars based in Brazil, United Kingdom and Spain. Carlos Ferraz's co-authors include Ricardo B. C. Prudêncio, Nelson Souto Rosa, Eduardo Souto, Judith Kelner, Germano C. Vasconcelos, Laura Donovan, Arantxa Roca‐Feltrer, K. Scott Baker, Enric Pastor and Luis Delgado and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Personal and Ubiquitous Computing.

In The Last Decade

Co-authorship network of co-authors of Carlos Ferraz i

Fields of papers citing papers by Carlos Ferraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos Ferraz

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025