Massimo Panella
Impact in
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Machine Learning and ELM
- Solar Radiation and Photovoltaics
- Fuzzy Logic and Control Systems
- Quantum Computing Algorithms and Architecture
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- Face and Expression Recognition
Papers in
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- Neural Networks and Applications 35
- Quantum Computing Algorithms and Architecture 19
- Fuzzy Logic and Control Systems 14
- Solar Radiation and Photovoltaics 14
- Machine Learning and ELM 12
- Quantum Information and Cryptography 11
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- Energy Load and Power Forecasting 27
- Co-authors
- Antonello Rosato (61 shared papers)Simone Scardapane (12 shared papers)Rodolfo Araneo (24 shared papers)Aurelio Uncini (10 shared papers)Antonello Rizzi (16 shared papers)Dianhui Wang (3 shared papers)Fabio Massimo Frattale Mascioli (15 shared papers)Giovanni Martinelli (10 shared papers)
- Journals
- Electronics Letters (5 papers)Biomedical Signal Processing and Control (4 papers)Energies (4 papers)Neural Networks (3 papers)Quantum Machine Intelligence (3 papers)
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Massimo Panella
141 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 999
- Computer Vision and Pattern Recognition 317
- Signal Processing 142
- Electrical and Electronic Engineering 728
- Management Science and Operations Research 143
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 152 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 154 | |
| 2 | 2015 | 119 | |
| 3 | 2015 | 81 | |
| 4 | 2002 | 78 | |
| 5 | 2019 | 74 | |
| 6 | 2005 | 65 | |
| 7 | 2009 | 56 | |
| 8 | 2015 | 56 | |
| 9 | 2006 | 51 | |
| 10 | 2012 | 50 | |
| 11 | 2020 | 49 | |
| 12 | 2017 | 47 | |
| 13 | 2016 | 39 | |
| 14 | 2019 | 37 | |
| 15 | 2016 | 37 | |
| 16 | 2009 | 35 | |
| 17 | 2021 | 35 | |
| 18 | 2023 | 34 | |
| 19 | 2021 | 33 | |
| 20 | 2015 | 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 152 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (35 papers), Energy Load and Power Forecasting (27 papers), Quantum Computing Algorithms and Architecture (19 papers), Fuzzy Logic and Control Systems (14 papers), Solar Radiation and Photovoltaics (14 papers), Machine Learning and ELM (12 papers), Stock Market Forecasting Methods (12 papers) and Quantum Information and Cryptography (11 papers). The work is most often cited by research in Artificial Intelligence (999 citations), Computer Vision and Pattern Recognition (317 citations), Signal Processing (142 citations), Electrical and Electronic Engineering (728 citations) and Management Science and Operations Research (143 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, Neural Networks and Quantum Machine Intelligence.
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.