Joseph Stancanello

2.4k total citations · 2 hit papers
45 papers, 1.7k citations indexed

About

Joseph Stancanello is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Joseph Stancanello has authored 45 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Radiation and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Joseph Stancanello's work include Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (9 papers). Joseph Stancanello is often cited by papers focused on Advanced Radiotherapy Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Medical Imaging Techniques and Applications (9 papers). Joseph Stancanello collaborates with scholars based in Italy, United States and Germany. Joseph Stancanello's co-authors include Michele Avanzo, Issam El Naqa, G. Pirrone, Giovanna Sartor, Lise Wei, Silvio Aime, Martin Vallières, Sarah A. Mattonen, Olivier Morin and Daniela Delli Castelli and has published in prestigious journals such as Angewandte Chemie International Edition, Scientific Reports and Medical Physics.

In The Last Decade

Joseph Stancanello

44 papers receiving 1.7k citations

Hit Papers

Machine and deep learning methods for radiomics 2017 2026 2020 2023 2020 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joseph Stancanello Italy 20 1.4k 511 384 280 249 45 1.7k
Eirik Malinen Norway 27 1.1k 0.8× 672 1.3× 200 0.5× 234 0.8× 883 3.5× 138 2.4k
N. Jane Taylor United Kingdom 26 2.0k 1.4× 372 0.7× 206 0.5× 160 0.6× 65 0.3× 48 2.7k
Kristen L. Zakian United States 27 1.6k 1.1× 1.4k 2.8× 165 0.4× 68 0.2× 264 1.1× 63 2.5k
Serena Monti Italy 23 891 0.6× 376 0.7× 137 0.4× 40 0.1× 284 1.1× 93 1.4k
Greta S. P. Mok Macao 20 948 0.7× 177 0.3× 465 1.2× 121 0.4× 251 1.0× 129 1.4k
Colin M. Carpenter United States 19 1.4k 1.0× 256 0.5× 1.3k 3.3× 358 1.3× 248 1.0× 39 2.0k
James Stirling United Kingdom 23 1.7k 1.2× 330 0.6× 227 0.6× 116 0.4× 52 0.2× 46 2.3k
Giuseppe Palma Italy 23 826 0.6× 434 0.8× 114 0.3× 118 0.4× 529 2.1× 80 1.3k
Benjamin Lemasson France 21 824 0.6× 358 0.7× 209 0.5× 87 0.3× 195 0.8× 52 1.3k
Chul Hwan Park South Korea 22 602 0.4× 589 1.2× 229 0.6× 38 0.1× 78 0.3× 151 2.4k

Countries citing papers authored by Joseph Stancanello

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Stancanello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Stancanello

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Stancanello. A scholar is included among the top collaborators of Joseph Stancanello 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 Joseph Stancanello. Joseph Stancanello 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.
Avanzo, Michele, et al.. (2026). Robust radiomics: a review of guidelines for radiomics in medical imaging. PubMed. 5. 1701110–1701110.
2.
Avanzo, Michele, Joseph Stancanello, G. Pirrone, Annalisa Drigo, & Alessandra Retico. (2024). The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning. Cancers. 16(21). 3702–3702. 13 indexed citations
3.
Avanzo, Michele, G. Pirrone, Lorenzo Vinante, et al.. (2020). Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis. Frontiers in Oncology. 10. 490–490. 24 indexed citations
4.
Castiglioni, Isabella, Francesca Gallivanone, Paolo Soda, et al.. (2019). AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics. European Journal of Nuclear Medicine and Molecular Imaging. 46(13). 2673–2699. 28 indexed citations
5.
Avanzo, Michele, G. Pirrone, Federico Navarria, et al.. (2019). Electron radiotherapy (IOERT) for applications outside of the breast: Dosimetry and influence of tissue inhomogeneities. Physica Medica. 69. 82–89. 4 indexed citations
6.
Avanzo, Michele, G. Pirrone, Mario Mileto, et al.. (2019). Prediction of skin dose in low‐kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry. Medical Physics. 46(3). 1447–1454. 13 indexed citations
7.
Vinante, Lorenzo, Michele Avanzo, Carlo Furlan, et al.. (2019). Ten daily fractions for partial breast irradiation. Long-term results of a prospective phase II trial. The Breast Journal. 25(2). 243–249. 6 indexed citations
8.
Pirrone, G., Elisa Palazzari, Federico Navarria, et al.. (2019). EP-1906 CBCT delta-radiomics for predicting complete pathological response of rectal cancer after CT-RT. Radiotherapy and Oncology. 133. S1036–S1036. 1 indexed citations
9.
Avanzo, Michele, Marco Trovò, Jean-Pierre Bissonnette, et al.. (2017). Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors. Physica Medica. 42. 150–156. 25 indexed citations
10.
Trovò, Marco, Michele Avanzo, Lorenzo Vinante, et al.. (2017). Seven fractions to deliver partial breast irradiation: the toxicity is Low. Radiation Oncology. 12(1). 86–86. 4 indexed citations
11.
Avanzo, Michele, Joseph Stancanello, & Issam El Naqa. (2017). Beyond imaging: The promise of radiomics. Physica Medica. 38. 122–139. 349 indexed citations breakdown →
12.
Stancanello, Joseph. (2011). Excellent image quality or superior dose conformity?. Cureus. 1 indexed citations
13.
Avanzo, Michele, Joseph Stancanello, Marco Trovò, et al.. (2011). Complication probability model for subcutaneous fibrosis based on published data of partial and whole breast irradiation. Physica Medica. 28(4). 296–306. 14 indexed citations
14.
15.
Stancanello, Joseph, Alexander Muacevic, Fabio Sebastiano, et al.. (2008). 3T MRI evaluation of the accuracy of atlas-based subthalamic nucleus identification. Medical Physics. 35(7Part1). 3069–3077. 13 indexed citations
16.
Terreno, Enzo, et al.. (2008). First ex‐vivo MRI co‐localization of two LIPOCEST agents. Contrast Media & Molecular Imaging. 3(1). 38–43. 31 indexed citations
17.
Stancanello, Joseph, Pantaleo Romanelli, Fabio Sebastiano, et al.. (2007). Direct validation of atlas‐based red nucleus identification for functional radiosurgery. Medical Physics. 34(8). 3143–3148. 4 indexed citations
18.
Stancanello, Joseph, Carlo Cavedon, Paolo Francescon, et al.. (2006). From Morphological To Functional Definition Of Organs At Risk: The Role Of Fmri In Radiosurgery. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 16. 15–21. 1 indexed citations
19.
Stancanello, Joseph, Carlo Cavedon, Paolo Francescon, et al.. (2005). Preliminary study on the use of nonrigid registration for thoraco‐abdominal radiosurgery. Medical Physics. 32(12). 3777–3785. 9 indexed citations
20.
Stancanello, Joseph, Carlo Cavedon, Paolo Francescon, et al.. (2005). CT—3D rotational angiography automatic registration: A sensitivity analysis. Medical & Biological Engineering & Computing. 43(5). 667–671. 4 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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