David Macêdo
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
- Domain Adaptation and Few-Shot Learning 3
- Coding theory and cryptography 2
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- Advanced Neural Network Applications 7
- Advanced Image and Video Retrieval Techniques 3
- Human Pose and Action Recognition 2
- Co-authors
- Cleber Zanchettin (20 shared papers)Adriano L. I. Oliveira (9 shared papers)Georges Kaddoum (1 shared paper)Divanilson R. Campelo (1 shared paper)Paulo Freitas de Araujo-Filho (1 shared paper)Teresa B. Ludermir (7 shared papers)Paulo S. G. de Mattos Neto (1 shared paper)Tsang Ing Ren (2 shared papers)
- Journals
- Expert Systems with Applications (2 papers)Computer Communications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)IEEE Access (1 paper)Applied Soft Computing (1 paper)
- Partner nations
- BrazilCanadaUnited States
In The Last Decade
David Macêdo
19 papers receiving 247 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 56
- Computer Networks and Communications 103
- Artificial Intelligence 136
- Computer Vision and Pattern Recognition 80
- Occupational Therapy 5
Countries citing papers authored by David Macêdo
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).
Fields of papers citing papers by David Macêdo
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.
Co-authors
The 17 scholars most cited alongside David Macêdo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2019 | 28 | |
| 3 | 2022 | 27 | |
| 4 | 2018 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2018 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 1999 | 2 | |
| 14 | 2021 | 1 | |
| 15 | Simple Fast Convolutional Feature Learning | 2018 | 1 |
| 16 | 2019 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 1996 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2023 | 1 |
About David Macêdo
David Macêdo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications and Safety, Risk, Reliability and Quality, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Fire Detection and Safety Systems (2 papers), Human Pose and Action Recognition (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Signal Processing (56 citations), Computer Networks and Communications (103 citations), Artificial Intelligence (136 citations), Computer Vision and Pattern Recognition (80 citations) and Occupational Therapy (5 citations). David Macêdo has collaborated with scholars based in Brazil, Canada and United States. Frequent co-authors include Cleber Zanchettin, Adriano L. I. Oliveira, Georges Kaddoum, Divanilson R. Campelo, Paulo Freitas de Araujo-Filho, Teresa B. Ludermir, Paulo S. G. de Mattos Neto, Tsang Ing Ren, Luiz Antônio de Oliveira and Byron Leite Dantas Bezerra. Their work appears in journals such as Expert Systems with Applications, Computer Communications, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access and Applied Soft Computing.
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.