Gabriel Caumo Vaz

About

Gabriel Caumo Vaz is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Gabriel Caumo Vaz has authored 5 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Information Systems and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Gabriel Caumo Vaz’s work include Advanced Neural Network Applications (1 paper), Traffic Prediction and Management Techniques (1 paper) and Transportation Planning and Optimization (1 paper). Gabriel Caumo Vaz is often cited by papers focused on Advanced Neural Network Applications (1 paper), Traffic Prediction and Management Techniques (1 paper) and Transportation Planning and Optimization (1 paper). Gabriel Caumo Vaz collaborates with scholars based in Brazil, Ireland and Iran. Gabriel Caumo Vaz's co-authors include Yuzo Iano, Gabriel Gomes de Oliveira, Leonardo Lorenzo Bravo Roger, Euclides Lourenço Chuma, Shokofeh Anari, Malika Bendechache, Ramin Ranjbarzadeh and Rangel Arthur and has published in prestigious journals such as IEEE Sensors Journal, Bioengineering and 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).

In The Last Decade

Co-authorship network of co-authors of Gabriel Caumo Vaz i

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Fields of papers citing papers by Gabriel Caumo Vaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Caumo Vaz. 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 Gabriel Caumo Vaz. The network helps show where Gabriel Caumo Vaz may publish in the future.

Countries citing papers authored by Gabriel Caumo Vaz

Since Specialization

Citations

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