Giacomo Capizzi
Impact in
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- Photovoltaic System Optimization Techniques
- Solar Thermal and Photovoltaic Systems
Papers in
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- Energy Load and Power Forecasting 12
- Smart Grid Energy Management 6
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- Advanced Chemical Sensor Technologies 4
- Co-authors
- Christian Napoli (39 shared papers)F. Bonanno (22 shared papers)Grazia Lo Sciuto (49 shared papers)Giuseppe Marco Tina (6 shared papers)Marcin Woźniak (13 shared papers)Emiliano Tramontana (8 shared papers)Francesco Beritelli (8 shared papers)Giorgio Graditi (1 shared paper)
In The Last Decade
Giacomo Capizzi
79 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 128
- Energy Engineering and Power Technology 49
- Renewable Energy, Sustainability and the Environment 252
- Artificial Intelligence 442
- Electrical and Electronic Engineering 522
- Automotive Engineering 92
Countries citing papers authored by Giacomo Capizzi
This map shows the geographic impact of Giacomo Capizzi'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 Giacomo Capizzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Capizzi more than expected).
Fields of papers citing papers by Giacomo Capizzi
This network shows the impact of papers produced by Giacomo Capizzi. 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 Giacomo Capizzi. The network helps show where Giacomo Capizzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Giacomo Capizzi, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 151 | |
| 2 | 2012 | 139 | |
| 3 | 2018 | 75 | |
| 4 | 2019 | 71 | |
| 5 | 2011 | 51 | |
| 6 | 2017 | 50 | |
| 7 | 2020 | 48 | |
| 8 | 2018 | 46 | |
| 9 | 2018 | 37 | |
| 10 | 2015 | 36 | |
| 11 | 2017 | 32 | |
| 12 | 2017 | 31 | |
| 13 | A Novel Neural Networks-Based Texture Image Processing Algorithm for Orange Defects Classification. | 2016 | 30 |
| 14 | 2011 | 29 | |
| 15 | 2017 | 28 | |
| 16 | 2010 | 28 | |
| 17 | 2020 | 26 | |
| 18 | 2012 | 23 | |
| 19 | 2015 | 21 | |
| 20 | 2011 | 19 |
About Giacomo Capizzi
Giacomo Capizzi is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 85 papers that have together received 1.4k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (12 papers), Image and Signal Denoising Methods (7 papers), Advanced Battery Technologies Research (6 papers), Neural Networks and Applications (6 papers), Smart Grid Energy Management (6 papers), Microgrid Control and Optimization (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (49 citations), Renewable Energy, Sustainability and the Environment (252 citations), Artificial Intelligence (442 citations), Electrical and Electronic Engineering (522 citations) and Automotive Engineering (92 citations). Giacomo Capizzi has collaborated with scholars based in Italy, Poland and Israel. Frequent co-authors include Christian Napoli, F. Bonanno, Grazia Lo Sciuto, Giuseppe Marco Tina, Marcin Woźniak, Emiliano Tramontana, Francesco Beritelli, Giorgio Graditi, Dawid Połap and S. Coco. Their work appears in journals such as IEEE Transactions on Magnetics, IEEE Access, Applied Energy, Sensors and Analytical Chemistry.
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.