Danilo Macciò
Impact in
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- Mathematical Approximation and Integration
- Artificial Intelligence top 10%
- Machine Learning and ELM
- Data Stream Mining Techniques
Papers in
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- Machine Learning and Algorithms 5
- Gaussian Processes and Bayesian Inference 4
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- Advanced Control Systems Optimization 6
- Fault Detection and Control Systems 6
- Control Systems and Identification 6
- Co-authors
- Cristiano Cervellera (34 shared papers)Mauro Gaggero (10 shared papers)Giacomo Boracchi (2 shared papers)Marco Muselli (3 shared papers)A. Alessandri (1 shared paper)Marcello Sanguineti (1 shared paper)Diego Carrera (1 shared paper)Antonio Cataliotti (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (4 papers)IEEE Transactions on Cybernetics (3 papers)Expert Systems with Applications (2 papers)Neurocomputing (1 paper)Optimization (1 paper)
- Partner nations
- ItalyUnited StatesCroatia
In The Last Decade
Danilo Macciò
34 papers receiving 268 citations
Peers
Comparison fields: 5 of 58
- Numerical Analysis 29
- Artificial Intelligence 119
- Control and Systems Engineering 84
- Statistics, Probability and Uncertainty 24
- Statistics and Probability 24
Countries citing papers authored by Danilo Macciò
This map shows the geographic impact of Danilo Macciò'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 Danilo Macciò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Macciò more than expected).
Fields of papers citing papers by Danilo Macciò
This network shows the impact of papers produced by Danilo Macciò. 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 Danilo Macciò. The network helps show where Danilo Macciò may publish in the future.
Co-authors
The 14 scholars most cited alongside Danilo Macciò, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 23 | |
| 2 | 2010 | 20 | |
| 3 | 2010 | 19 | |
| 4 | QuantTree: Histograms for change detection in multivariate data streams | 2018 | 17 |
| 5 | 2013 | 17 | |
| 6 | 2013 | 14 | |
| 7 | 2012 | 13 | |
| 8 | 2017 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2013 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2012 | 9 | |
| 14 | 2008 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2010 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2017 | 5 |
About Danilo Macciò
Danilo Macciò is a scholar working on Artificial Intelligence, Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 278 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (6 papers), Mathematical Approximation and Integration (6 papers), Fault Detection and Control Systems (6 papers), Control Systems and Identification (6 papers), Machine Learning and Algorithms (5 papers), Statistical Methods and Inference (4 papers), Gaussian Processes and Bayesian Inference (4 papers) and Water resources management and optimization (4 papers). The work is most often cited by research in Numerical Analysis (29 citations), Artificial Intelligence (119 citations), Control and Systems Engineering (84 citations), Statistics, Probability and Uncertainty (24 citations) and Statistics and Probability (24 citations). Danilo Macciò has collaborated with scholars based in Italy, United States and Croatia. Frequent co-authors include Cristiano Cervellera, Mauro Gaggero, Giacomo Boracchi, Marco Muselli, A. Alessandri, Marcello Sanguineti, Diego Carrera, Antonio Cataliotti, Dario Di Cara and Valentina Cosentino. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Expert Systems with Applications, Neurocomputing and Optimization.
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.