Pietro Torricelli

198 total papers · 2.5k total citations
110 papers, 1.6k citations indexed

About

Pietro Torricelli is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pietro Torricelli has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 30 papers in Pulmonary and Respiratory Medicine and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pietro Torricelli's work include MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Advanced MRI Techniques and Applications (8 papers). Pietro Torricelli is often cited by papers focused on MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Advanced MRI Techniques and Applications (8 papers). Pietro Torricelli collaborates with scholars based in Italy, France and Spain. Pietro Torricelli's co-authors include Annarita Pecchi, Guido Ligabue, Renato Romagnoli, Federica Fiocchi, Gabriele Luppi, C Martinelli, Gianni Pavan, Marco Lugli, Mario De Santis and R. Biagini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Clinical Infectious Diseases.

In The Last Decade

Pietro Torricelli

104 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pietro Torricelli 518 495 411 294 205 110 1.6k
Christoph Trumm 628 1.2× 493 1.0× 328 0.8× 341 1.2× 213 1.0× 88 1.6k
Terue Okamura 419 0.8× 360 0.7× 438 1.1× 262 0.9× 219 1.1× 71 1.4k
Yutaka Takazawa 449 0.9× 516 1.0× 255 0.6× 341 1.2× 133 0.6× 132 1.9k
Akram M. Shaaban 964 1.9× 379 0.8× 330 0.8× 308 1.0× 98 0.5× 90 2.1k
Giuseppe Angelelli 740 1.4× 695 1.4× 456 1.1× 191 0.6× 131 0.6× 109 1.9k
Phillip M. Devlin 392 0.8× 647 1.3× 217 0.5× 469 1.6× 143 0.7× 113 1.6k
Chandan J. Das 505 1.0× 440 0.9× 564 1.4× 155 0.5× 93 0.5× 181 1.8k
Shigeru Kosuda 624 1.2× 611 1.2× 623 1.5× 341 1.2× 150 0.7× 124 1.7k
Tetsuo Maeda 314 0.6× 380 0.8× 377 0.9× 352 1.2× 146 0.7× 141 1.8k
Sang Soo Shin 868 1.7× 399 0.8× 514 1.3× 371 1.3× 132 0.6× 99 1.9k

Countries citing papers authored by Pietro Torricelli

Since Specialization
Citations

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

Fields of papers citing papers by Pietro Torricelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pietro Torricelli

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

All Works

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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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2026