Antonio da Luz

2 papers and 359 indexed citations i.

About

Antonio da Luz is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Industrial relations. According to data from OpenAlex, Antonio da Luz has authored 2 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 0 papers in Industrial relations. Recurrent topics in Antonio da Luz’s work include Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (1 paper). Antonio da Luz is often cited by papers focused on Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Multimodal Machine Learning Applications (1 paper). Antonio da Luz collaborates with scholars based in Brazil. Antonio da Luz's co-authors include Sandra Avila, Arnaldo de Albuquerque Araújo, A. Lopes and Eduardo Valle and has published in prestigious journals such as Pattern Recognition Letters and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Antonio da Luz i

Fields of papers citing papers by Antonio da Luz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio da Luz. 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 Antonio da Luz. The network helps show where Antonio da Luz may publish in the future.

Countries citing papers authored by Antonio da Luz

Since Specialization
Citations

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