Victor Savevski

1.8k total citations
32 papers, 383 citations indexed

About

Victor Savevski is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Oncology. According to data from OpenAlex, Victor Savevski has authored 32 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Infectious Diseases and 9 papers in Oncology. Recurrent topics in Victor Savevski's work include Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 diagnosis using AI (7 papers). Victor Savevski is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), COVID-19 Clinical Research Studies (8 papers) and COVID-19 diagnosis using AI (7 papers). Victor Savevski collaborates with scholars based in Italy, United Kingdom and France. Victor Savevski's co-authors include Maria Elena Laino, Letterio S. Politi, Giovanni Angelotti, Pierandrea Morandini, Luca Balzarini, Riccardo Muglia, Ezio Lanza, Filippo Fraggetta, Paolo Graziano and Luca Di Tommaso and has published in prestigious journals such as Blood, Gastroenterology and Annals of Surgery.

In The Last Decade

Victor Savevski

29 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor Savevski Italy 13 202 88 87 75 68 32 383
Lionel Tim‐Ee Cheng Singapore 10 164 0.8× 66 0.8× 98 1.1× 59 0.8× 69 1.0× 31 453
Serena Carriero Italy 11 181 0.9× 59 0.7× 62 0.7× 98 1.3× 44 0.6× 51 392
Sayan Manna United States 7 232 1.1× 106 1.2× 169 1.9× 141 1.9× 37 0.5× 14 477
Nicholas Voutsinas United States 11 282 1.4× 101 1.1× 172 2.0× 190 2.5× 41 0.6× 25 542
Chiara D. Arru United States 9 229 1.1× 45 0.5× 74 0.9× 75 1.0× 49 0.7× 14 302
Yogesh Sean Gupta United States 5 198 1.0× 76 0.9× 149 1.7× 109 1.5× 33 0.5× 10 349
Giuliana Giacobbe Italy 10 236 1.2× 74 0.8× 67 0.8× 112 1.5× 27 0.4× 19 349
Ali Sabri Canada 11 265 1.3× 72 0.8× 84 1.0× 99 1.3× 84 1.2× 15 378
Pinggui Lei China 9 322 1.6× 45 0.5× 159 1.8× 91 1.2× 97 1.4× 36 611
Gamze Durhan Türkiye 11 157 0.8× 40 0.5× 108 1.2× 107 1.4× 24 0.4× 44 435

Countries citing papers authored by Victor Savevski

Since Specialization
Citations

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

Fields of papers citing papers by Victor Savevski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Savevski

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Savevski. A scholar is included among the top collaborators of Victor Savevski 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 Victor Savevski. Victor Savevski 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.
Foppa, Caterina, Saverio D’Amico, Annalisa Maroli, et al.. (2025). Synthetic Data Generated by Artificial Intelligence to Optimize Surgical Trial Design. Annals of Surgery. 282(5). 810–817. 1 indexed citations
2.
Paoletti, Giovanni, Francesca Puggioni, Sebastian Ferri, et al.. (2025). Vocal biomarkers correlate with FEV1 variations during methacholine challenge. Clinical and Translational Allergy. 15(4). e70055–e70055.
3.
Matteo, Vincenzo Di, Pierandrea Morandini, Victor Savevski, Guido Grappiolo, & Mattia Loppini. (2025). Preoperative Diagnosis of Periprosthetic Infection in Patients Undergoing Hip or Knee Revision Arthroplasties: Development and Validation of Machine Learning Algorithm. Diagnostics. 15(5). 539–539. 3 indexed citations
4.
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.
5.
6.
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
7.
Spinelli, Antonino, Francesco Maria Carrano, Maria Elena Laino, et al.. (2023). Artificial intelligence in colorectal surgery: an AI-powered systematic review. Techniques in Coloproctology. 27(8). 615–629. 21 indexed citations
8.
Laino, Maria Elena, Lorenzo Mannelli, Francesco Fiz, et al.. (2022). Artificial Intelligence Applied to Pancreatic Imaging: A Narrative Review. Healthcare. 10(8). 1511–1511. 4 indexed citations
9.
Hassan, Cesare, Prateek Sharma, Yuichi Mori, et al.. (2022). Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving in Situ Colorectal Polyps. Gastroenterology. 164(3). 467–469.e4. 21 indexed citations
10.
Laino, Maria Elena, Luca Viganò, Elena Generali, et al.. (2022). The added value of artificial intelligence to LI-RADS categorization: A systematic review. European Journal of Radiology. 150. 110251–110251. 14 indexed citations
11.
12.
Laino, Maria Elena, Francesca Motta, Maria De Santis, et al.. (2022). Advanced Imaging Supports the Mechanistic Role of Autoimmunity and Plaque Rupture in COVID-19 Heart Involvement. Clinical Reviews in Allergy & Immunology. 64(1). 75–89.
13.
Laino, Maria Elena, et al.. (2022). Generative Adversarial Networks in Brain Imaging: A Narrative Review. Journal of Imaging. 8(4). 83–83. 20 indexed citations
14.
Cortese, Nina, Matteo Donadon, Marco Di Maio, et al.. (2021). Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis. Cancers. 13(13). 3313–3313. 7 indexed citations
15.
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
16.
Laino, Maria Elena, et al.. (2021). The Applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review. Diagnostics. 11(8). 1317–1317. 17 indexed citations
17.
Angelotti, Giovanni, Massimiliano Greco, Victor Savevski, et al.. (2021). The effect of COVID-19 epidemic on vital signs in hospitalized patients: a pre-post heat-map study from a large teaching hospital. Journal of Clinical Monitoring and Computing. 36(3). 829–837. 8 indexed citations
18.
Capretti, Giovanni, Cristiana Bonifacio, Caterina Giannitto, et al.. (2021). A machine learning risk model based on preoperative computed tomography scan to predict postoperative outcomes after pancreatoduodenectomy. Updates in Surgery. 74(1). 235–243. 19 indexed citations
19.
Lanza, Ezio, Riccardo Muglia, Giovanni Angelotti, et al.. (2020). Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. European Radiology. 30(12). 6770–6778. 84 indexed citations
20.
Voza, Antonio, Silvia Paiardi, Victor Savevski, et al.. (2020). The role of anti-hypertensive treatment, comorbidities and early introduction of LMWH in the setting of COVID-19: A retrospective, observational study in Northern Italy. International Journal of Cardiology. 324. 249–254. 17 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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