Massimo Panella
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Machine Learning and ELM
- Fuzzy Logic and Control Systems
- Solar Radiation and Photovoltaics
- Quantum Computing Algorithms and Architecture
Papers in
-
- Neural Networks and Applications 41
- Quantum Computing Algorithms and Architecture 20
- Fuzzy Logic and Control Systems 18
- Solar Radiation and Photovoltaics 14
- Machine Learning and ELM 13
- Quantum Information and Cryptography 12
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- Energy Load and Power Forecasting 30
- Co-authors
- Antonello Rosato (66 shared papers)Simone Scardapane (14 shared papers)Rodolfo Araneo (24 shared papers)Aurelio Uncini (12 shared papers)Antonello Rizzi (20 shared papers)Dianhui Wang (3 shared papers)Fabio Massimo Frattale Mascioli (18 shared papers)Giovanni Martinelli (12 shared papers)
- Journals
- Electronics Letters (5 papers)Biomedical Signal Processing and Control (4 papers)Energies (4 papers)Applied Energy (3 papers)Sensors (3 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Massimo Panella
155 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 340
- Signal Processing 163
- Electrical and Electronic Engineering 781
- Management Science and Operations Research 166
Countries citing papers authored by Massimo Panella
This map shows the geographic impact of Massimo Panella'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 Massimo Panella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Panella more than expected).
Fields of papers citing papers by Massimo Panella
This network shows the impact of papers produced by Massimo Panella. 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 Massimo Panella. The network helps show where Massimo Panella may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Panella, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 165 | |
| 2 | 2015 | 129 | |
| 3 | 2002 | 88 | |
| 4 | 2015 | 87 | |
| 5 | 2019 | 76 | |
| 6 | 2005 | 72 | |
| 7 | 2015 | 59 | |
| 8 | 2009 | 58 | |
| 9 | 2012 | 53 | |
| 10 | 2006 | 53 | |
| 11 | 2020 | 51 | |
| 12 | 2017 | 48 | |
| 13 | 2016 | 45 | |
| 14 | 2016 | 39 | |
| 15 | 2019 | 38 | |
| 16 | 2009 | 36 | |
| 17 | 2021 | 35 | |
| 18 | 2023 | 35 | |
| 19 | 2015 | 34 | |
| 20 | 2021 | 33 |
About Massimo Panella
Massimo Panella is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Signal Processing and Control and Systems Engineering, having authored 167 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (41 papers), Energy Load and Power Forecasting (30 papers), Quantum Computing Algorithms and Architecture (20 papers), Fuzzy Logic and Control Systems (18 papers), Stock Market Forecasting Methods (14 papers), Solar Radiation and Photovoltaics (14 papers), Machine Learning and ELM (13 papers) and Quantum Information and Cryptography (12 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (340 citations), Signal Processing (163 citations), Electrical and Electronic Engineering (781 citations) and Management Science and Operations Research (166 citations). Massimo Panella has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Antonello Rosato, Simone Scardapane, Rodolfo Araneo, Aurelio Uncini, Antonello Rizzi, Dianhui Wang, Fabio Massimo Frattale Mascioli, Giovanni Martinelli, Amedeo Andreotti and Andrea Gallo. Their work appears in journals such as Electronics Letters, Biomedical Signal Processing and Control, Energies, Applied Energy and Sensors.
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.