Giuseppe La Verde

82 total papers · 601 total citations
59 papers, 426 citations indexed

About

Giuseppe La Verde is a scholar working on Radiological and Ultrasound Technology, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Giuseppe La Verde has authored 59 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiological and Ultrasound Technology, 16 papers in Radiation and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Giuseppe La Verde's work include Radioactivity and Radon Measurements (35 papers), Radioactive contamination and transfer (15 papers) and Radiation Dose and Imaging (15 papers). Giuseppe La Verde is often cited by papers focused on Radioactivity and Radon Measurements (35 papers), Radioactive contamination and transfer (15 papers) and Radiation Dose and Imaging (15 papers). Giuseppe La Verde collaborates with scholars based in Italy, Russia and Egypt. Giuseppe La Verde's co-authors include Mariagabriella Pugliese, V. Roca, Vittoria D’Avino, Fabrizio Ambrosino, C. Sabbarese, Filomena Loffredo, Maria Quarto, M. La Commara, Sabato Fusco and Paolo A. Netti and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Construction and Building Materials.

In The Last Decade

Giuseppe La Verde

50 papers receiving 413 citations

Author Peers

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

Author Last Decade Papers Cites
Giuseppe La Verde 275 135 95 71 71 59 426
Marian Romeo Calin 122 0.4× 91 0.7× 60 0.6× 24 0.3× 52 0.7× 39 444
K. Freyer 198 0.7× 21 0.2× 85 0.9× 43 0.6× 18 0.3× 62 466
Isam Salih 342 1.2× 137 1.0× 135 1.4× 122 1.7× 94 1.3× 33 471
C. Carpentieri 346 1.3× 209 1.5× 128 1.3× 134 1.9× 57 0.8× 41 411
Ismael Fuente Merino 332 1.2× 158 1.2× 136 1.4× 82 1.2× 37 0.5× 38 414
J. Hakl 241 0.9× 61 0.5× 103 1.1× 46 0.6× 90 1.3× 44 477
Atsushi Kawabe 224 0.8× 106 0.8× 59 0.6× 67 0.9× 82 1.2× 30 415
F.J. Maringer 226 0.8× 84 0.6× 112 1.2× 76 1.1× 47 0.7× 55 400
P. Kotrappa 248 0.9× 78 0.6× 84 0.9× 78 1.1× 82 1.2× 47 459
С. М. Киселев 265 1.0× 167 1.2× 124 1.3× 100 1.4× 74 1.0× 47 378

Countries citing papers authored by Giuseppe La Verde

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe La Verde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe La Verde. 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 Giuseppe La Verde. The network helps show where Giuseppe La Verde may publish in the future.

Co-authorship network of co-authors of Giuseppe La Verde

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe La Verde. A scholar is included among the top collaborators of Giuseppe La Verde 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 Giuseppe La Verde. Giuseppe La Verde 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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