Massimo Panella

109 papers and 1.6k indexed citations i.

About

Massimo Panella is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimo Panella has authored 109 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 40 papers in Electrical and Electronic Engineering and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimo Panella’s work include Neural Networks and Applications (23 papers), Energy Load and Power Forecasting (21 papers) and Solar Radiation and Photovoltaics (12 papers). Massimo Panella is often cited by papers focused on Neural Networks and Applications (23 papers), Energy Load and Power Forecasting (21 papers) and Solar Radiation and Photovoltaics (12 papers). Massimo Panella collaborates with scholars based in Italy, United States and Australia. Massimo Panella's co-authors include Antonello Rosato, Rodolfo Araneo, Simone Scardapane, Aurelio Uncini and Fabio Massimo Frattale Mascioli and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Remote Sensing of Environment and Applied Energy.

In The Last Decade

Fields of papers citing papers by Massimo Panella

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Massimo Panella. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Massimo Panella may publish in the future.

Countries citing papers authored by Massimo Panella

Since Specialization
Citations

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).

Rankless by CCL
2025