Enrico Lunghi

About

Enrico Lunghi is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Enrico Lunghi has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Nuclear and High Energy Physics, 6 papers in Electrical and Electronic Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Enrico Lunghi’s work include Particle physics theoretical and experimental studies (60 papers), Quantum Chromodynamics and Particle Interactions (39 papers) and High-Energy Particle Collisions Research (22 papers). Enrico Lunghi is often cited by papers focused on Particle physics theoretical and experimental studies (60 papers), Quantum Chromodynamics and Particle Interactions (39 papers) and High-Energy Particle Collisions Research (22 papers). Enrico Lunghi collaborates with scholars based in United States, Germany and Switzerland. Enrico Lunghi's co-authors include Amarjit Soni, Tobias Huber, D. Wyler, Tobias Hurth, Ahmed Ali, Radovan Dermíšek, Seodong Shin, Jack Laiho, Ruth S. Van de Water and W. Porod and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.

In The Last Decade

Co-authorship network of co-authors of Enrico Lunghi i

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Fields of papers citing papers by Enrico Lunghi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrico Lunghi. 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 Enrico Lunghi. The network helps show where Enrico Lunghi may publish in the future.

Countries citing papers authored by Enrico Lunghi

Since Specialization

Citations

This map shows the geographic impact of Enrico Lunghi'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 Enrico Lunghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Lunghi 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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