G. Grosso

16 papers and 148 indexed citations i.

About

G. Grosso is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Radiation. According to data from OpenAlex, G. Grosso has authored 16 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 7 papers in Artificial Intelligence and 6 papers in Radiation. Recurrent topics in G. Grosso’s work include Particle Detector Development and Performance (6 papers), Nuclear Physics and Applications (6 papers) and Radiation Detection and Scintillator Technologies (5 papers). G. Grosso is often cited by papers focused on Particle Detector Development and Performance (6 papers), Nuclear Physics and Applications (6 papers) and Radiation Detection and Scintillator Technologies (5 papers). G. Grosso collaborates with scholars based in Italy, Switzerland and United States. G. Grosso's co-authors include Andrea Wulzer, M. Pierini, M. Zanetti, Raffaele Tito D’Agnolo, Raffaele Tito D’Agnolo, Lorenzo Rosasco, M. Rebaı̈, F. Murtas, G. Croci and E. Perelli Cippo and has published in prestigious journals such as Journal of High Energy Physics, Review of Scientific Instruments and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Co-authorship network of co-authors of G. Grosso i

Fields of papers citing papers by G. Grosso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by G. Grosso

Since Specialization
Citations

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