Albert Comelli

2.1k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Albert Comelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Albert Comelli has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 16 papers in Biomedical Engineering. Recurrent topics in Albert Comelli's work include Radiomics and Machine Learning in Medical Imaging (37 papers), Medical Imaging Techniques and Applications (15 papers) and Advanced X-ray and CT Imaging (12 papers). Albert Comelli is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (37 papers), Medical Imaging Techniques and Applications (15 papers) and Advanced X-ray and CT Imaging (12 papers). Albert Comelli collaborates with scholars based in Italy, United States and Switzerland. Albert Comelli's co-authors include Alessandro Stefano, G. Russo, Anthony Yezzi, Viviana Benfante, Giuseppe Salvaggio, Massimo Ippolito, M.G. Sabini, Federica Vernuccio, Navdeep Dahiya and Samuel Bignardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and International Journal of Biological Macromolecules.

In The Last Decade

Albert Comelli

65 papers receiving 1.2k citations

Hit Papers

Applications of Artificial Intelligence, Deep Learning, a... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Comelli Italy 23 710 382 265 197 168 67 1.2k
Alessandro Stefano Italy 25 880 1.2× 431 1.1× 298 1.1× 207 1.1× 183 1.1× 82 1.3k
Satish E. Viswanath United States 19 837 1.2× 519 1.4× 248 0.9× 282 1.4× 167 1.0× 90 1.4k
Hidetaka Arimura Japan 19 819 1.2× 547 1.4× 223 0.8× 245 1.2× 185 1.1× 123 1.3k
Steve Bandula United Kingdom 14 788 1.1× 265 0.7× 351 1.3× 121 0.6× 211 1.3× 34 1.4k
Avishek Chatterjee Netherlands 17 815 1.1× 283 0.7× 247 0.9× 340 1.7× 77 0.5× 38 1.2k
Theresa Thai United States 12 519 0.7× 126 0.3× 164 0.6× 331 1.7× 170 1.0× 32 1.0k
Zekun Jiang China 15 433 0.6× 159 0.4× 110 0.4× 158 0.8× 101 0.6× 65 732
Sarah J. van Riel Netherlands 8 1.1k 1.5× 834 2.2× 156 0.6× 376 1.9× 178 1.1× 10 1.4k

Countries citing papers authored by Albert Comelli

Since Specialization
Citations

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

Fields of papers citing papers by Albert Comelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Comelli

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Comelli. A scholar is included among the top collaborators of Albert Comelli 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 Albert Comelli. Albert Comelli 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.
Benfante, Viviana, Muhammad Ali, Anthony Yezzi, et al.. (2025). Revolutionizing Periodontal Care: The Role of Artificial Intelligence in Diagnosis, Treatment, and Prognosis. Applied Sciences. 15(6). 3295–3295.
2.
Benfante, Viviana, Ignazio G. Vetrano, Muhammad Ali, et al.. (2025). An Update on DOTA-Peptides PET Imaging and Potential Advancements of Radioligand Therapy in Intracranial Meningiomas. Life. 15(4). 617–617. 2 indexed citations
3.
D’Antoni, Federico, Luca Ambrosio, Giuseppe Francesco Papalia, et al.. (2025). Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review. BMC Musculoskeletal Disorders. 26(1). 126–126. 1 indexed citations
4.
Laudicella, Riccardo, Albert Comelli, Moritz Schwyzer, et al.. (2024). PSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI. La radiologia medica. 129(6). 901–911. 4 indexed citations
5.
Piras, Antonio, Viviana Benfante, Muhammad Ali, et al.. (2024). Artificial Intelligence and Statistical Models for the Prediction of Radiotherapy Toxicity in Prostate Cancer: A Systematic Review. Applied Sciences. 14(23). 10947–10947. 4 indexed citations
6.
Ali, Muhammad, Viviana Benfante, Domenico Di Raimondo, et al.. (2024). Recent Developments in Nanoparticle Formulations for Resveratrol Encapsulation as an Anticancer Agent. Pharmaceuticals. 17(1). 126–126. 31 indexed citations
7.
Mamone, Giuseppe, Albert Comelli, Mariapina Milazzo, et al.. (2024). Radiomics Analysis of Preprocedural CT Imaging for Outcome Prediction after Transjugular Intrahepatic Portosystemic Shunt Creation. Life. 14(6). 726–726. 2 indexed citations
8.
Ali, Muhammad, Viviana Benfante, Domenico Di Raimondo, et al.. (2024). A Review of Advances in Molecular Imaging of Rheumatoid Arthritis: From In Vitro to Clinic Applications Using Radiolabeled Targeting Vectors with Technetium-99m. Life. 14(6). 751–751. 6 indexed citations
9.
Ali, Muhammad, Albert Comelli, Pierpaolo Alongi, et al.. (2024). Theranostic Approaches for Gastric Cancer: An Overview of In Vitro and In Vivo Investigations. Cancers. 16(19). 3323–3323. 11 indexed citations
10.
Cabibi, Daniela, Antonino Giulio Giannone, Vincenza Calvaruso, et al.. (2024). Quantitative Evaluation by Digital Pathology of Immunohistochemical Expression of CK7, CK19, and EpCAM in Advanced Stages of NASH. Biomedicines. 12(2). 440–440. 1 indexed citations
11.
Giannone, Antonino Giulio, Daniela Cabibi, Giuseppe Salvaggio, et al.. (2024). Digital Pathology: A Comprehensive Review of Open-Source Histological Segmentation Software. SHILAP Revista de lepidopterología. 4(1). 173–196. 6 indexed citations
12.
Russo, G., Fabiano Bini, Albert Comelli, et al.. (2023). A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in 18F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer. Diagnostics. 13(24). 3640–3640. 12 indexed citations
13.
Casto, Antonio Lo, Viviana Benfante, Muhammad Ali, et al.. (2023). Artificial Intelligence for Classifying the Relationship between Impacted Third Molar and Mandibular Canal on Panoramic Radiographs. Life. 13(7). 1441–1441. 18 indexed citations
14.
Benfante, Viviana, Alessandro Stefano, Muhammad Ali, et al.. (2023). An Overview of In Vitro Assays of 64Cu-, 68Ga-, 125I-, and 99mTc-Labelled Radiopharmaceuticals Using Radiometric Counters in the Era of Radiotheranostics. Diagnostics. 13(7). 1210–1210. 17 indexed citations
15.
Ali, Muhammad, Viviana Benfante, Alessandro Stefano, et al.. (2023). Anti-Arthritic and Anti-Cancer Activities of Polyphenols: A Review of the Most Recent In Vitro Assays. Life. 13(2). 361–361. 21 indexed citations
16.
Stefano, Alessandro, et al.. (2023). Phenotyping the Histopathological Subtypes of Non-Small-Cell Lung Carcinoma: How Beneficial Is Radiomics?. Diagnostics. 13(6). 1167–1167. 20 indexed citations
17.
18.
Benfante, Viviana, Alessandro Stefano, Albert Comelli, et al.. (2022). A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models. Journal of Imaging. 8(4). 92–92. 21 indexed citations
19.
Salvaggio, Giuseppe, L Salvaggio, Federica Vernuccio, et al.. (2022). Deep Learning Networks for Automatic Retroperitoneal Sarcoma Segmentation in Computerized Tomography. Applied Sciences. 12(3). 1665–1665. 8 indexed citations
20.
Coronnello, Claudia, Rosalia Busà, Luca Cicero, Albert Comelli, & Ester Badami. (2021). A Radioactive-Free Method for the Thorough Analysis of the Kinetics of Cell Cytotoxicity. Journal of Imaging. 7(11). 222–222. 3 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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