David Macêdo

23 papers and 203 indexed citations i.

About

David Macêdo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, David Macêdo has authored 23 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in David Macêdo’s work include Advanced Neural Network Applications (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Adversarial Robustness in Machine Learning (4 papers). David Macêdo is often cited by papers focused on Advanced Neural Network Applications (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Adversarial Robustness in Machine Learning (4 papers). David Macêdo collaborates with scholars based in Brazil, Canada and United States. David Macêdo's co-authors include Cleber Zanchettin, Adriano L. I. Oliveira, Georges Kaddoum, Divanilson R. Campelo, Teresa B. Ludermir, Tsang Ing Ren, Bruno Fernandes, Paulo S. G. de Mattos Neto, Francisco Cruz and Luiz Antônio de Oliveira and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of David Macêdo i

Fields of papers citing papers by David Macêdo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Macêdo

Since Specialization
Citations

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