Levy Boccato
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Machine Learning and ELM
-
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
Papers in
-
- Machine Learning and ELM 9
- Neural Networks and Applications 9
- Neural Networks and Reservoir Computing 9
-
- Advanced Memory and Neural Computing 11
- Co-authors
- Romis Attux (21 shared papers)Fernando J. Von Zuben (6 shared papers)Hugo Valadares Siqueira (5 shared papers)Christiano Lyra (4 shared papers)Ivette Luna (3 shared papers)Diogo C. Soriano (5 shared papers)Guilherme Palermo Coelho (1 shared paper)Gabriela Castellano (2 shared papers)
- Journals
- Applied Soft Computing (2 papers)Pattern Recognition Letters (1 paper)Neurocomputing (1 paper)International Journal of Neural Systems (1 paper)International Transactions in Operational Research (1 paper)
- Partner nations
- Brazil
In The Last Decade
Levy Boccato
29 papers receiving 321 citations
Peers
Comparison fields: 5 of 55
- Artificial Intelligence 186
- Environmental Engineering 61
- Signal Processing 43
- Electrical and Electronic Engineering 158
- Cognitive Neuroscience 41
Countries citing papers authored by Levy Boccato
This map shows the geographic impact of Levy Boccato'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 Levy Boccato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levy Boccato more than expected).
Fields of papers citing papers by Levy Boccato
This network shows the impact of papers produced by Levy Boccato. 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 Levy Boccato. The network helps show where Levy Boccato may publish in the future.
Co-authors
The 17 scholars most cited alongside Levy Boccato, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 48 | |
| 2 | 2014 | 40 | |
| 3 | 2018 | 36 | |
| 4 | 2011 | 28 | |
| 5 | 2011 | 25 | |
| 6 | 2017 | 24 | |
| 7 | 2012 | 23 | |
| 8 | 2014 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2012 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2011 | 7 | |
| 13 | 2012 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2012 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2016 | 2 |
About Levy Boccato
Levy Boccato is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 31 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (11 papers), Machine Learning and ELM (9 papers), Neural Networks and Applications (9 papers), Neural Networks and Reservoir Computing (9 papers), Blind Source Separation Techniques (6 papers), EEG and Brain-Computer Interfaces (4 papers), Direction-of-Arrival Estimation Techniques (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Artificial Intelligence (186 citations), Environmental Engineering (61 citations), Signal Processing (43 citations), Electrical and Electronic Engineering (158 citations) and Cognitive Neuroscience (41 citations). Levy Boccato has collaborated with scholars based in Brazil. Frequent co-authors include Romis Attux, Fernando J. Von Zuben, Hugo Valadares Siqueira, Christiano Lyra, Ivette Luna, Diogo C. Soriano, Guilherme Palermo Coelho, Gabriela Castellano, A. Lopes and Jugurta Montalvão. Their work appears in journals such as Applied Soft Computing, Pattern Recognition Letters, Neurocomputing, International Journal of Neural Systems and International Transactions in Operational Research.
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.