Claudio Berzovini

515 total citations
5 papers, 266 citations indexed

About

Claudio Berzovini is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Claudio Berzovini has authored 5 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Claudio Berzovini's work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Lung Cancer Diagnosis and Treatment (1 paper). Claudio Berzovini is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 diagnosis using AI (2 papers) and Lung Cancer Diagnosis and Treatment (1 paper). Claudio Berzovini collaborates with scholars based in Italy, Australia and Belarus. Claudio Berzovini's co-authors include Enzo Tartaglione, Marco Calandri, Marco Grangetto, Laura Bergamasco, Paolo Fonio, Giancarlo Marra, Francesco Gentile, Paolo Gontero, Riccardo Faletti and Marco Gatti and has published in prestigious journals such as International Journal of Environmental Research and Public Health, JACC. Cardiovascular imaging and Clinical Radiology.

In The Last Decade

Claudio Berzovini

5 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Claudio Berzovini Italy	4	204	101	92	46	25	5	266
Sreenivasa Raju Kalidindi United Kingdom	4	155 0.8×	58 0.6×	64 0.7×	61 1.3×	27 1.1×	4	237
Samuel J. Withey United Kingdom	5	237 1.2×	69 0.7×	115 1.3×	69 1.5×	47 1.9×	22	345
Feyisope Eweje United States	6	138 0.7×	78 0.8×	34 0.4×	57 1.2×	28 1.1×	9	239
Kexue Deng China	8	231 1.1×	63 0.6×	83 0.9×	45 1.0×	21 0.8×	29	302
Mathijn de Jong Netherlands	5	99 0.5×	86 0.9×	82 0.9×	32 0.7×	26 1.0×	7	229
Sara Ranjbar United States	6	135 0.7×	59 0.6×	46 0.5×	10 0.2×	37 1.5×	11	200
Yongsik Sim South Korea	8	181 0.9×	79 0.8×	99 1.1×	49 1.1×	16 0.6×	18	274
Alexandre Cadrin-Chênevert Canada	8	267 1.3×	92 0.9×	73 0.8×	91 2.0×	35 1.4×	15	389
Ran Godrich United States	3	103 0.5×	132 1.3×	67 0.7×	38 0.8×	19 0.8×	5	180
Patrick Bourgouin United States	5	90 0.4×	38 0.4×	91 1.0×	23 0.5×	18 0.7×	10	170

Countries citing papers authored by Claudio Berzovini

Since Specialization

Citations

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

Fields of papers citing papers by Claudio Berzovini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudio Berzovini

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

All Works

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5 of 5 papers shown

1.

Tartaglione, Enzo, et al.. (2020). Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data. International Journal of Environmental Research and Public Health. 17(18). 6933–6933. 146 indexed citations

2.

Tartaglione, Enzo, et al.. (2020). Unveiling COVID-19 from Chest X-ray with deeplearning: a hurdles race with small data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

3.

Gatti, Marco, Riccardo Faletti, Giorgio Calleris, et al.. (2019). Prostate cancer detection with biparametric magnetic resonance imaging (bpMRI) by readers with different experience: performance and comparison with multiparametric (mpMRI). Abdominal Radiology. 44(5). 1883–1893. 85 indexed citations

4.

Mariscotti, Giovanna, Manuela Durando, Claudio Berzovini, et al.. (2018). Preoperative MRI evaluation of lesion–nipple distance in breast cancer patients: thresholds for predicting occult nipple–areola complex involvement. Clinical Radiology. 73(8). 735–743. 20 indexed citations

5.

Pontone, Gianluca, Daniele Andreini, Andrea Igoren Guaricci, et al.. (2018). Association Between Haptoglobin Phenotype and Microvascular Obstruction in Patients With STEMI. JACC. Cardiovascular imaging. 12(6). 1007–1017. 14 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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