G. Massimo Palma

155 papers and 5.6k 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 155 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Atomic and Molecular Physics, and Optics, 112 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 (109 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 (109 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 Artur Ekert, Gabriele De Chiara, Francesco Ciccarello, Mauro Paternostro, Kalle‐Antti Suominen, Rosario Fazio, Chiara Macchiavello, Salvatore Lorenzo, Vittorio Giovannetti and G. Falci and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of G. Massimo Palma i

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Fields of papers citing papers by G. Massimo Palma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Massimo Palma. 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 G. Massimo Palma. 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 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.

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