R. de Sangro

523 total papers · 10.1k total citations
12 papers, 49 citations indexed

About

R. de Sangro is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering. According to data from OpenAlex, R. de Sangro has authored 12 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nuclear and High Energy Physics, 5 papers in Radiation and 3 papers in Electrical and Electronic Engineering. Recurrent topics in R. de Sangro's work include Particle Detector Development and Performance (8 papers), Radiation Detection and Scintillator Technologies (5 papers) and Particle physics theoretical and experimental studies (3 papers). R. de Sangro is often cited by papers focused on Particle Detector Development and Performance (8 papers), Radiation Detection and Scintillator Technologies (5 papers) and Particle physics theoretical and experimental studies (3 papers). R. de Sangro collaborates with scholars based in Italy and Canada. R. de Sangro's co-authors include P. Patteri, M. Piccolo, G. Finocchiaro, G. Pizzella, G. Mannocchi, L. Satta, S. Ragazzi, P. Picchi, N. Redaelli and P.P. Trapani and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science and The European Physical Journal C.

In The Last Decade

R. de Sangro

11 papers receiving 40 citations

Author Peers

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

Author						Papers	Cites
R. de Sangro	21	18	17	11	9	12	49
Simon Fayer	45 2.1×	17 0.9×	6 0.4×	10 0.9×	7 0.8×	11	68
J. M. LoSecco	32 1.5×	22 1.2×	25 1.5×	10 0.9×	8 0.9×	8	65
A. Mukherjee	39 1.9×	23 1.3×	8 0.5×	8 0.7×	19 2.1×	12	67
M. Pauluzzi	23 1.1×	34 1.9×	38 2.2×	8 0.7×	5 0.6×	12	68
A. Gałkowski	33 1.6×	9 0.5×	25 1.5×	14 1.3×	2 0.2×	15	53
T. Usher	41 2.0×	17 0.9×	9 0.5×	13 1.2×	7 0.8×	11	50
T. Hotta	63 3.0×	23 1.3×	23 1.4×	21 1.9×	5 0.6×	11	71
P. Bloch	41 2.0×	49 2.7×	9 0.5×	8 0.7×	14 1.6×	11	82
C. F. Da Silva Costa	14 0.7×	7 0.4×	27 1.6×	8 0.7×	2 0.2×	12	42
P. Privitera	16 0.8×	21 1.2×	6 0.4×	6 0.5×	3 0.3×	8	43

Countries citing papers authored by R. de Sangro

Since Specialization

Citations

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

Fields of papers citing papers by R. de Sangro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. de Sangro. 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 R. de Sangro. The network helps show where R. de Sangro may publish in the future.

Co-authorship network of co-authors of R. de Sangro

This figure shows the co-authorship network connecting the top 25 collaborators of R. de Sangro. A scholar is included among the top collaborators of R. de Sangro 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 R. de Sangro. R. de Sangro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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