Andrea D’Aviero

76 total papers · 521 total citations
41 papers, 299 citations indexed

About

Andrea D’Aviero is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrea D’Aviero has authored 41 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 15 papers in Oncology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrea D’Aviero's work include Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Andrea D’Aviero is often cited by papers focused on Advanced Radiotherapy Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Andrea D’Aviero collaborates with scholars based in Italy, Brazil and United States. Andrea D’Aviero's co-authors include Vincenzo Valentini, Luca Boldrini, Bruno Fionda, Luca Tagliaferri, Valentina Lancellotta, Maria Antonietta Gambacorta, Antonio Piras, Calogero Casà, Davide Cusumano and A.G. Morganti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Radiotherapy and Oncology and Patient Education and Counseling.

In The Last Decade

Andrea D’Aviero

36 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
Andrea D’Aviero	110	103	82	62	55	41	299
Dong Soo Lee	87 0.8×	83 0.8×	86 1.0×	40 0.6×	48 0.9×	32	283
Caressa Hui	132 1.2×	81 0.8×	86 1.0×	38 0.6×	82 1.5×	46	333
Durmuş Etiz	119 1.1×	100 1.0×	195 2.4×	54 0.9×	57 1.0×	30	345
Roman O. Kowalchuk	77 0.7×	84 0.8×	135 1.6×	50 0.8×	96 1.7×	50	346
Poompis Pattaranutaporn	133 1.2×	57 0.6×	80 1.0×	33 0.5×	116 2.1×	29	335
Christine H. Feng	82 0.7×	82 0.8×	120 1.5×	67 1.1×	53 1.0×	26	321
Joyce Mhlanga	47 0.4×	192 1.9×	54 0.7×	41 0.7×	46 0.8×	43	341
Alix Clémenson	69 0.6×	87 0.8×	90 1.1×	29 0.5×	71 1.3×	30	351
Nathan R. Bennion	81 0.7×	94 0.9×	177 2.2×	102 1.6×	81 1.5×	30	336
Ashwini Budrukkar	106 1.0×	60 0.6×	80 1.0×	61 1.0×	106 1.9×	31	319

Countries citing papers authored by Andrea D’Aviero

Since Specialization

Citations

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

Fields of papers citing papers by Andrea D’Aviero

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrea D’Aviero. 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 Andrea D’Aviero. The network helps show where Andrea D’Aviero may publish in the future.

Co-authorship network of co-authors of Andrea D’Aviero

This figure shows the co-authorship network connecting the top 25 collaborators of Andrea D’Aviero. A scholar is included among the top collaborators of Andrea D’Aviero 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 Andrea D’Aviero. Andrea D’Aviero 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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