Riccardo Levi

639 total citations · 1 hit paper
19 papers, 304 citations indexed

About

Riccardo Levi is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Riccardo Levi has authored 19 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Infectious Diseases and 6 papers in Biomedical Engineering. Recurrent topics in Riccardo Levi's work include COVID-19 Clinical Research Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging and Analysis (5 papers). Riccardo Levi is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging and Analysis (5 papers). Riccardo Levi collaborates with scholars based in Italy, United Kingdom and United States. Riccardo Levi's co-authors include Alberto Mantovani, María Rescigno, Elena Azzolini, Chiara Pozzi, Maximiliano Mollura, Michele Lagioia, Riccardo Barbieri, Giovanni Angelotti, João M. C. Sousa and Leo Anthony Celi and has published in prestigious journals such as JAMA, Journal of Clinical Investigation and Clinical Infectious Diseases.

In The Last Decade

Riccardo Levi

15 papers receiving 303 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Association Between BNT162b2 Vaccination and Long COVID After Infections Not Requiring Hospitalization in Health Care Workers

2022 159 citations Elena Azzolini, Riccardo Levi et al. JAMA profile →

Peers

Riccardo Levi

NEURO

HEALT

CCICM

Karine Beiruti Wiegler Israel

Muhammad Adnan Haider Pakistan

Sarah Baca United States

Marnar Fríðheim Kristiansen Faroe Islands

Javier García‐Abellán Spain

Xiaojia Tang China

Benjamin Murray United Kingdom

Carlo Cervia Switzerland

Isabel Siow Singapore

Reaz Mahmud Bangladesh

Karine Beiruti Wiegler Israel

Riccardo Levi

245 ×1.3

103 ×0.7

NEURO

51 ×0.9

65 ×1.9

HEALT

18 ×0.6

CCICM

Citations per year, relative to Riccardo Levi Riccardo Levi (= 1×) peers Karine Beiruti Wiegler

Countries citing papers authored by Riccardo Levi

Since Specialization

Citations

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

Fields of papers citing papers by Riccardo Levi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Levi

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

All Works

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19 of 19 papers shown

Levi, Riccardo, Giovanni Savini, Elena Clerici, et al.. (2025). AI differentiates radionecrosis from true progression in brain metastasis upon stereotactic radiosurgery: Analysis of 124 histologically assessed lesions. Neuro-Oncology. 27(11). 3029–3039. 1 indexed citations

Kumar, Sonia, Riccardo Levi, Federico Sicoli, et al.. (2025). Nutritional status in retroperitoneal sarcoma: Implication of prognostic Nutritional Index (PNI) and skeletal muscle index (SMI) on postoperative and oncological outcomes. Clinical Nutrition ESPEN. 69. 167–176.

Levi, Riccardo, et al.. (2024). CT Cadaveric dataset for Radiomics features stability assessment in lumbar vertebrae. Scientific Data. 11(1). 366–366. 1 indexed citations

Levi, Riccardo, Aldo Marzullo, Giovanni Savini, Victor Savevski, & Letterio S. Politi. (2024). An Unet Boosting Training Strategy for the BraTS-ISBI 2024 Goat Challenge. 1–4.

Bonifacio, Cristiana, Giovanni Savini, Riccardo Levi, et al.. (2024). The gut-brain axis: Correlation of choroid plexus volume and permeability with inflammatory biomarkers in Crohn's disease. Neurobiology of Disease. 192. 106416–106416. 9 indexed citations

Vatteroni, Giulia, Rubina Manuela Trimboli, Riccardo Levi, et al.. (2024). Role of ultrasound-guided vacuum-assisted breast biopsy in the management of radiologic-pathologic discordance: a retrospective single-centre study. La radiologia medica. 129(10). 1454–1462.

Levi, Riccardo, et al.. (2024). A reference framework for standardization and harmonization of CT radiomics features on cadaveric sample. Scientific Reports. 14(1). 19259–19259. 1 indexed citations

Bonifacio, Cristiana, Arianna Dal Buono, Riccardo Levi, et al.. (2024). Reporting of Magnetic Resonance Enterography in Inflammatory Bowel Disease: Results of an Italian Survey. Journal of Clinical Medicine. 13(13). 3953–3953.

Levi, Riccardo, Maximiliano Mollura, Milton Henriques Guimarães Júnior, et al.. (2023). Efficacy of Six Different SARS-CoV-2 Vaccines during a Six-Month Follow-Up and Five COVID-19 Waves in Brazil and Mexico. Vaccines. 11(4). 842–842. 3 indexed citations

10.

Pozzi, Chiara, Riccardo Levi, Maximiliano Mollura, et al.. (2023). Association Between Duration of SARS-CoV-2 Positivity and Long COVID. Clinical Infectious Diseases. 77(11). 1531–1533. 3 indexed citations

11.

Levi, Riccardo, Giovanni Savini, Marco Riva, et al.. (2023). CT-based radiomics can identify physiological modifications of bone structure related to subjects’ age and sex. La radiologia medica. 128(6). 744–754. 12 indexed citations

12.

Levi, Riccardo, Giovanni Savini, Marco Riva, et al.. (2023). Quantification of cauda equina nerve root dispersion through radiomics features in weight-bearing MRI in normal subjects and spinal canal stenosis patients. European Radiology. 34(7). 4585–4595. 1 indexed citations

13.

Mollura, Maximiliano, Riccardo Levi, Chiara Pozzi, et al.. (2022). Antibody Titer Correlates with Omicron Infection in Vaccinated Healthcare Workers. Viruses. 14(12). 2605–2605. 4 indexed citations

14.

Azzolini, Elena, Riccardo Levi, Chiara Pozzi, et al.. (2022). Association Between BNT162b2 Vaccination and Long COVID After Infections Not Requiring Hospitalization in Health Care Workers. JAMA. 328(7). 676–676. 159 indexed citations breakdown →

15.

Levi, Riccardo, Elena Azzolini, Chiara Pozzi, et al.. (2021). One dose of SARS-CoV-2 vaccine exponentially increases antibodies in individuals who have recovered from symptomatic COVID-19. Journal of Clinical Investigation. 131(12). 70 indexed citations

16.

Levi, Riccardo, Chiara Pozzi, Giovanni Angelotti, et al.. (2021). The antibody response to SARS-CoV-2 infection persists over at least 8 months in symptomatic patients. Communications Medicine. 1(1). 32–32. 10 indexed citations

17.

Levi, Riccardo, et al.. (2021). Bayesian supervised machine learning classification of neural networks with pathological perturbations. Biomedical Physics & Engineering Express. 7(6). 65021–65021. 4 indexed citations

18.

Levi, Riccardo, Francesco Carli, Yüksel Altınel, et al.. (2021). Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding. BMJ Health & Care Informatics. 28(1). e100245–e100245. 25 indexed citations

19.

Barbieri, Riccardo, et al.. (2019). Identification and Tracking of Physiological Parameters from Skin using Video Photoplethysmography. PubMed. 16. 6822–6825. 1 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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