Ovidio Salvetti

1.7k total citations
147 papers, 1000 citations indexed

About

Ovidio Salvetti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ovidio Salvetti has authored 147 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 27 papers in Artificial Intelligence and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ovidio Salvetti's work include Medical Image Segmentation Techniques (23 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (10 papers). Ovidio Salvetti is often cited by papers focused on Medical Image Segmentation Techniques (23 papers), Image Retrieval and Classification Techniques (12 papers) and AI in cancer detection (10 papers). Ovidio Salvetti collaborates with scholars based in Italy, United States and Greece. Ovidio Salvetti's co-authors include Gabriele Pieri, Davide Moroni, Sara Colantonio, P. Bison, Sergio Marinetti, E. Grinzato, Massimo Martinelli, Mario D’Acunto, I. B. Gurevich and Marco Tampucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Marine Pollution Bulletin and Sensors.

In The Last Decade

Ovidio Salvetti

137 papers receiving 944 citations

Peers

Ovidio Salvetti

CVPR

Ran Song China

Shiwei Ma China

Chin‐Hsing Chen Taiwan

Yuqing Yang China

Guokai Zhang China

Jinshuai Bai Australia

Ikhlas Abdel‐Qader United States

Cheng Chen China

Hongjun Wang China

Bo Xiao China

Ran Song China

Ovidio Salvetti

524 ×2.0

CVPR

95 ×0.5

119 ×1.0

117 ×1.0

160 ×1.5

Citations per year, relative to Ovidio Salvetti Ovidio Salvetti (= 1×) peers Ran Song

Countries citing papers authored by Ovidio Salvetti

Since Specialization

Citations

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

Fields of papers citing papers by Ovidio Salvetti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ovidio Salvetti

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

All Works

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20 of 20 papers shown

Salvetti, Ovidio, et al.. (2023). Efficient Lung Ultrasound Classification. Bioengineering. 10(5). 555–555. 4 indexed citations

D’Angelo, Gennaro, Lorenza Pratali, Antonio Benassi, et al.. (2023). Deep learning methods for point-of-care ultrasound examination. CINECA IRIS Institutial research information system (University of Pisa). 435–440.

D’Angelo, Gennaro, Luca Bastiani, Lorenza Pratali, et al.. (2022). An intelligent platform of services based on multimedia understanding and telehealth for supporting the management of SARS-CoV-2 multi-pathological patients. SPIRE - Sciences Po Institutional REpository. 34. 553–560. 2 indexed citations

Moroni, Davide & Ovidio Salvetti. (2021). Signals and Images in Sea Technologies. Journal of Marine Science and Engineering. 9(1). 41–41. 1 indexed citations

Martinelli, Massimo, Guido Giardini, Marco Scalese, et al.. (2021). Acupuncture Effects on Cerebral Blood Flow during Normoxia and Normobaric Hypoxia: Results from a Prospective Crossover Pilot Study. SHILAP Revista de lepidopterología. 9(4). 102–102.

D’Acunto, Mario, et al.. (2020). Optimized Dislocation of Mobile Sensor Networks on Large Marine Environments Using Voronoi Partitions. Journal of Marine Science and Engineering. 8(2). 132–132. 7 indexed citations

Curzio, Olivia, et al.. (2019). Augmented Interaction Systems for Supporting Autistic Children. Evolution of a Multichannel Expressive Tool: The SEMI Project Feasibility Study. Applied Sciences. 9(15). 3081–3081. 16 indexed citations

Manikis, Georgios C., Katerina Nikiforaki, Ovidio Salvetti, et al.. (2019). Investigating the Role of Model-Based and Model-Free Imaging Biomarkers as Early Predictors of Neoadjuvant Breast Cancer Therapy Outcome. IEEE Journal of Biomedical and Health Informatics. 23(5). 1834–1843. 11 indexed citations

Colantonio, Sara, Massimo Martinelli, Davide Moroni, et al.. (2018). DECISION SUPPORT AND IMAGE & SIGNAL ANALYSIS IN HEART FAILURE - A Comprehensive Use Case. 5(9). 288–295.

10.

Hartwig, Valentina, Ovidio Salvetti, L. Potì, et al.. (2017). Assessment of hand superficial oxygenation during ischemia/reperfusion in healthy subjects versus systemic sclerosis patients by 2D near infrared spectroscopic imaging. Computer Methods and Programs in Biomedicine. 155. 101–108. 9 indexed citations

11.

Salvetti, Ovidio, et al.. (2015). Near infrared image processing to quantitate and visualize oxygen saturation during vascular occlusion. Computer Methods and Programs in Biomedicine. 126. 35–45. 5 indexed citations

12.

Colantonio, Sara, et al.. (2014). Decision Making Concepts for the Remote, Personalized Evaluation of COPD Patients’ Health Status. Methods of Information in Medicine. 54(3). 240–247. 10 indexed citations

13.

Chiarugi, Franco, Sara Colantonio, Dimitra Emmanouilidou, et al.. (2010). Decision support in heart failure through processing of electro- and echocardiograms. Artificial Intelligence in Medicine. 50(2). 95–104. 8 indexed citations

14.

Colantonio, Sara, Massimo Martinelli, Davide Moroni, et al.. (2008). A Decision Support Resource as a Kernel of a Semantic Web Based Platform Oriented to Heart Failure.. BOA (University of Milano-Bicocca). 142–148. 3 indexed citations

15.

Legnaioli, Stefano, et al.. (2007). Analisi sui pigmenti di ceramica neolitica tramite tecniche Raman e LIBS. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Moroni, Davide, Petra Perner, & Ovidio Salvetti. (2006). A General Approach to Shape Characterization for Biomedical Problems.. 56–65. 3 indexed citations

17.

Orlandi, Giovanni, et al.. (2003). Real-Time Detection and Clinical Categorisation of Ultrasound High Intensity Transient Signals. CINECA IRIS Institutial research information system (University of Pisa). 4. 921–926. 2 indexed citations

18.

Niemann, Heinrich, et al.. (2003). Brain volumes characterisation using hierarchical neural networks. Artificial Intelligence in Medicine. 28(3). 307–322. 10 indexed citations

19.

Salvetti, Ovidio, et al.. (2003). A simulation model for analysing brain structure deformations. Physics in Medicine and Biology. 48(24). 4001–4022. 9 indexed citations

20.

Lutzemberger, L. & Ovidio Salvetti. (1998). Volumetric analysis of CT orbital images. Medical & Biological Engineering & Computing. 36(6). 661–666. 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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