G. Massimo Palma

154 papers and 5.5k indexed citations i.

About

G. Massimo Palma is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, G. Massimo Palma has authored 154 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Atomic and Molecular Physics, and Optics, 111 papers in Artificial Intelligence and 33 papers in Statistical and Nonlinear Physics. Recurrent topics in G. Massimo Palma’s work include Quantum Information and Cryptography (108 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (47 papers). G. Massimo Palma is often cited by papers focused on Quantum Information and Cryptography (108 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (47 papers). G. Massimo Palma collaborates with scholars based in Italy, United Kingdom and Chile. G. Massimo Palma's co-authors include Mauro Paternostro, Francesco Ciccarello, Salvatore Lorenzo, Gabriele De Chiara and Rosario Fazio and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Fields of papers citing papers by G. Massimo Palma

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 G. Massimo Palma. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where G. Massimo Palma may publish in the future.

Countries citing papers authored by G. Massimo Palma

Since Specialization
Citations

This map shows the geographic impact of G. Massimo Palma'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 G. Massimo Palma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Massimo Palma more than expected).

Rankless by CCL
2025