C. Sabbarese

1.9k total citations
100 papers, 1.5k citations indexed

About

C. Sabbarese is a scholar working on Radiological and Ultrasound Technology, Radiation and Geophysics. According to data from OpenAlex, C. Sabbarese has authored 100 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiological and Ultrasound Technology, 43 papers in Radiation and 23 papers in Geophysics. Recurrent topics in C. Sabbarese's work include Radioactivity and Radon Measurements (50 papers), Radiation Detection and Scintillator Technologies (24 papers) and Nuclear Physics and Applications (23 papers). C. Sabbarese is often cited by papers focused on Radioactivity and Radon Measurements (50 papers), Radiation Detection and Scintillator Technologies (24 papers) and Nuclear Physics and Applications (23 papers). C. Sabbarese collaborates with scholars based in Italy, Czechia and Germany. C. Sabbarese's co-authors include Fabrizio Ambrosino, V. Roca, Antonio D’Onofrio, Mariagabriella Pugliese, F. Terrasi, L. Thinová, Miloš Briestenský, N. De Cesare, L. Gialanella and Detlef Rogalla and has published in prestigious journals such as Scientific Reports, Construction and Building Materials and Sensors.

In The Last Decade

C. Sabbarese

98 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Sabbarese Italy 23 821 347 340 331 206 100 1.5k
Ganesh Prasad India 21 814 1.0× 140 0.4× 337 1.0× 228 0.7× 31 0.2× 73 1.2k
Frédéric Perrier France 30 847 1.0× 59 0.2× 424 1.2× 1.4k 4.2× 10 0.0× 108 2.5k
Á. Horváth Hungary 19 388 0.5× 346 1.0× 191 0.6× 105 0.3× 5 0.0× 49 1.2k
R.J. de Meijer Netherlands 20 510 0.6× 292 0.8× 254 0.7× 91 0.3× 3 0.0× 103 1.4k
Patrick Richon France 23 770 0.9× 61 0.2× 343 1.0× 567 1.7× 4 0.0× 48 1.3k
G. Steinitz Israel 22 444 0.5× 155 0.4× 151 0.4× 1.3k 3.8× 41 0.2× 60 1.8k
Klaus M. Wilcken Australia 24 186 0.2× 123 0.4× 372 1.1× 238 0.7× 53 0.3× 82 1.6k
Tsutomu Takahashi Japan 21 296 0.4× 125 0.4× 455 1.3× 979 3.0× 3 0.0× 105 1.9k
Ines Krajcar Bronić Croatia 21 92 0.1× 219 0.6× 162 0.5× 36 0.1× 287 1.4× 131 1.5k
Rama India 18 407 0.5× 88 0.3× 407 1.2× 114 0.3× 8 0.0× 50 1.4k

Countries citing papers authored by C. Sabbarese

Since Specialization
Citations

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

Fields of papers citing papers by C. Sabbarese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Sabbarese

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

All Works

20 of 20 papers shown
1.
Ambrosino, Fabrizio, C. Sabbarese, Giovanni Macedonio, et al.. (2024). Search for anomalies in Stromboli's pre-paroxysm activity through an automatic hybrid method of time series analysis. Journal of Volcanology and Geothermal Research. 452. 108131–108131. 1 indexed citations
2.
Rocca, Roxane, et al.. (2024). The Adoration of the Magi by Artemisia Gentileschi analyzed with multispectral imaging and XRF technique. Journal of Archaeological Science Reports. 57. 104650–104650.
3.
Sabbarese, C., et al.. (2023). Combining Multispectral Imaging and XRF Analysis to Examine San Patroba predica ai fedeli di Pozzuoli by Massimo Stanzione. Quantum Beam Science. 7(4). 30–30. 2 indexed citations
4.
Ambrosino, Fabrizio, Francesco Mancini, Giuseppe La Verde, et al.. (2023). Zeolites identification for wastewater radionuclides removal in the decommissioning of a former Italian nuclear power plant. The European Physical Journal Plus. 138(10). 9 indexed citations
5.
Ambrosino, Fabrizio, et al.. (2022). Study of 222−220Rn Measurement Systems Based on Electrostatic Collection by Using Geant4+COMSOL Simulation. Applied Sciences. 12(1). 507–507. 7 indexed citations
6.
Sabbarese, C., et al.. (2022). Comparison of different methodologies for estimating gold thickness in multilayer samples using XRF spectra. Applied Radiation and Isotopes. 191. 110517–110517. 6 indexed citations
7.
Verde, Giuseppe La, Vittoria D’Avino, C. Sabbarese, et al.. (2020). Radiation Protection Legislation and Sustainable Development of a Rural Green Tuff Village of Ischia Island. Sustainability. 12(20). 8374–8374. 11 indexed citations
8.
Ambrosino, Fabrizio, C. Sabbarese, V. Roca, Flora Giudicepietro, & Walter De Cesare. (2020). Connection between 222Rn emission and geophysical-geochemical parameters recorded during the volcanic unrest at Campi Flegrei caldera (2011–2017). Applied Radiation and Isotopes. 166. 109385–109385. 10 indexed citations
9.
Ambrosino, Fabrizio, C. Sabbarese, V. Roca, Flora Giudicepietro, & Giovanni Chiodini. (2020). Analysis of 7-years Radon time series at Campi Flegrei area (Naples, Italy) using artificial neural network method. Applied Radiation and Isotopes. 163. 109239–109239. 30 indexed citations
10.
Petraglia, Antonio, Carmina Sirignano, R. Buompane, et al.. (2020). Space-time Bayesian analysis of the environmental impact of a dismissing nuclear power plant. Journal of Environmental Radioactivity. 218. 106241–106241. 4 indexed citations
11.
Ambrosino, Fabrizio, et al.. (2019). Innovative methodologies for the analysis of radon time series. 41(6). 223. 18 indexed citations
12.
Ambrosino, Fabrizio, et al.. (2019). Ag X-ray fluorescence on different thickness and concentration layers. 41(6). 224. 12 indexed citations
14.
Ambrosino, Fabrizio, R. Buompane, Mariagabriella Pugliese, V. Roca, & C. Sabbarese. (2018). RaMonA system for radon and thoron measurement. 41(6). 222. 18 indexed citations
15.
Sabbarese, C., et al.. (2017). SIGNAL DECOMPOSITION AND ANALYSIS FOR THE IDENTIFICATION OF PERIODIC AND ANOMALOUS PHENOMENA IN RADON TIME-SERIES. Radiation Protection Dosimetry. 177(1-2). 202–206. 24 indexed citations
16.
Buompane, R., et al.. (2014). 222Rn + 220Rn monitoring by alpha spectrometry. Radiation Protection Dosimetry. 160(1-3). 173–176. 7 indexed citations
17.
Pugliese, Mariagabriella, et al.. (2013). Track counting and thickness measurement of LR115 radon detectors using a commercial image scanner. Radiation Protection Dosimetry. 162(3). 388–393. 7 indexed citations
18.
Venoso, G., Mariagabriella Pugliese, V. Roca, & C. Sabbarese. (2009). A radon facility at Naples University: Features and first tests. Applied Radiation and Isotopes. 67(5). 863–866. 8 indexed citations
19.
Sabbarese, C., et al.. (2002). Transfer of 137Cs and 60Co from irrigation water to a soil–tomato plant system. Journal of Environmental Radioactivity. 61(1). 21–31. 7 indexed citations
20.
Pugliese, Mariagabriella, et al.. (2000). A compact multiparameter acquisition system for radon concentration studies. Applied Radiation and Isotopes. 53(1-2). 365–370. 7 indexed citations

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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