G. Casarosa

540 total papers · 13.4k total citations
6 papers, 6 citations indexed

About

G. Casarosa is a scholar working on Nuclear and High Energy Physics, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, G. Casarosa has authored 6 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nuclear and High Energy Physics, 4 papers in Radiation and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in G. Casarosa's work include Radiation Detection and Scintillator Technologies (4 papers), Particle Detector Development and Performance (4 papers) and Particle physics theoretical and experimental studies (3 papers). G. Casarosa is often cited by papers focused on Radiation Detection and Scintillator Technologies (4 papers), Particle Detector Development and Performance (4 papers) and Particle physics theoretical and experimental studies (3 papers). G. Casarosa collaborates with scholars based in Italy, Germany and United States. G. Casarosa's co-authors include P. Kodyš, T. Bilka, Johannes Rauch, R. Frühwirth, P. Kvasnička, E. Paoloni, T. Schlüter, T. Ferber, M. Minuti and L. Corona and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series and CINECA IRIS Institutial research information system (University of Pisa).

In The Last Decade

G. Casarosa

2 papers receiving 5 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Casarosa 4 3 2 1 1 6 6
W.T. Lin 5 1.3× 3 1.0× 2 1.0× 5 7
R. P. Pisani 4 1.0× 2 0.7× 2 1.0× 1 1.0× 6 6
M. Gignac 4 1.0× 2 0.7× 2 1.0× 5 6
A. Cruz 4 1.0× 2 0.7× 2 1.0× 5 7
L. Pribyl 6 1.5× 3 1.0× 2 1.0× 5 6
I. Ravasenga 3 0.8× 4 1.3× 2 1.0× 5 7
P. Lichard 5 1.3× 3 1.0× 3 1.5× 7 6
D. Bernard 5 1.3× 2 0.7× 2 1.0× 1 1.0× 1 1.0× 7 6
D.S. Hanna 6 1.5× 3 1.0× 2 1.0× 5 8
G. Perrot 3 0.8× 4 1.3× 3 1.5× 6 8

Countries citing papers authored by G. Casarosa

Since Specialization
Citations

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

Fields of papers citing papers by G. Casarosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Casarosa

This figure shows the co-authorship network connecting the top 25 collaborators of G. Casarosa. A scholar is included among the top collaborators of G. Casarosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Casarosa. G. Casarosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026