André Eugênio Lazzaretti
Impact in
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- Context-Aware Activity Recognition Systems
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- Machine Fault Diagnosis Techniques
Papers in
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- Smart Grid Energy Management 13
- Power Transformer Diagnostics and Insulation 9
- Power System Optimization and Stability 8
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- Power Systems Fault Detection 9
- Smart Grid Security and Resilience 7
- Co-authors
- Heitor Silvério Lopes (19 shared papers)Manassés Ribeiro (6 shared papers)Fábio Kurt Schneider (1 shared paper)Hugo Vieira Neto (9 shared papers)Vitor Hugo Ferreira (7 shared papers)Robson R. Linhares (12 shared papers)Elder Oroski (13 shared papers)José Jair Alves Mendes (5 shared papers)
In The Last Decade
André Eugênio Lazzaretti
89 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 279
- Control and Systems Engineering 271
- Artificial Intelligence 371
- Electrical and Electronic Engineering 385
- Renewable Energy, Sustainability and the Environment 107
Countries citing papers authored by André Eugênio Lazzaretti
This map shows the geographic impact of André Eugênio Lazzaretti'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 André Eugênio Lazzaretti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Eugênio Lazzaretti more than expected).
Fields of papers citing papers by André Eugênio Lazzaretti
This network shows the impact of papers produced by André Eugênio Lazzaretti. 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 André Eugênio Lazzaretti. The network helps show where André Eugênio Lazzaretti may publish in the future.
Co-authors
The 25 scholars most cited alongside André Eugênio Lazzaretti, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2018 | 134 | |
| 3 | 2020 | 75 | |
| 4 | 2020 | 69 | |
| 5 | 2021 | 48 | |
| 6 | 2015 | 47 | |
| 7 | 2020 | 31 | |
| 8 | 2019 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2019 | 11 |
About André Eugênio Lazzaretti
André Eugênio Lazzaretti is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 99 papers that have together received 1.1k indexed citations. Recurring topics across this work include Smart Grid Energy Management (13 papers), Anomaly Detection Techniques and Applications (12 papers), Lightning and Electromagnetic Phenomena (10 papers), Muscle activation and electromyography studies (10 papers), Power Systems Fault Detection (9 papers), Power Transformer Diagnostics and Insulation (9 papers), Power System Optimization and Stability (8 papers) and Smart Grid Security and Resilience (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Control and Systems Engineering (271 citations), Artificial Intelligence (371 citations), Electrical and Electronic Engineering (385 citations) and Renewable Energy, Sustainability and the Environment (107 citations). André Eugênio Lazzaretti has collaborated with scholars based in Brazil, Portugal and Tunisia. Frequent co-authors include Heitor Silvério Lopes, Manassés Ribeiro, Fábio Kurt Schneider, Hugo Vieira Neto, Vitor Hugo Ferreira, Robson R. Linhares, Elder Oroski, José Jair Alves Mendes, Sérgio Luiz Stevan and Hugo Valadares Siqueira. Their work appears in journals such as IEEE Sensors Journal, Electric Power Systems Research, IEEE Access, Energies and Expert Systems with Applications.
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.