Stefano Diciotti

4.3k total citations
138 papers, 2.9k citations indexed

About

Stefano Diciotti is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Stefano Diciotti has authored 138 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Pulmonary and Respiratory Medicine and 26 papers in Cognitive Neuroscience. Recurrent topics in Stefano Diciotti's work include Advanced Neuroimaging Techniques and Applications (30 papers), Lung Cancer Diagnosis and Treatment (22 papers) and Advanced MRI Techniques and Applications (20 papers). Stefano Diciotti is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (30 papers), Lung Cancer Diagnosis and Treatment (22 papers) and Advanced MRI Techniques and Applications (20 papers). Stefano Diciotti collaborates with scholars based in Italy, United States and United Kingdom. Stefano Diciotti's co-authors include Mario Mascalchi, Carlo Tessa, Marco Giannelli, Andrea Ginestroni, Nicola Toschi, Massimo Falchini, Giulia Picozzi, Chiara Marzi, Riccardo Della Nave and Emilia Salvadori and has published in prestigious journals such as PLoS ONE, NeuroImage and Stroke.

In The Last Decade

Stefano Diciotti

133 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefano Diciotti Italy 31 1.2k 807 632 538 347 138 2.9k
Jae Hyoung Kim South Korea 31 901 0.8× 629 0.8× 897 1.4× 327 0.6× 457 1.3× 200 3.4k
Paul Summers Italy 37 2.5k 2.1× 1.1k 1.3× 1.0k 1.7× 973 1.8× 351 1.0× 142 5.5k
Hugo J. Kuijf Netherlands 32 1.2k 1.0× 722 0.9× 844 1.3× 683 1.3× 464 1.3× 125 3.7k
Naoto Hayashi Japan 35 2.2k 1.9× 504 0.6× 832 1.3× 793 1.5× 202 0.6× 174 4.3k
Kim Mouridsen Denmark 32 1.4k 1.2× 600 0.7× 536 0.8× 787 1.5× 152 0.4× 94 3.8k
Nils D. Forkert Canada 33 917 0.8× 858 1.1× 816 1.3× 450 0.8× 100 0.3× 242 4.2k
María del C. Valdés Hernández United Kingdom 27 869 0.7× 314 0.4× 472 0.7× 390 0.7× 335 1.0× 73 2.5k
Lin Ma China 33 1.7k 1.5× 822 1.0× 577 0.9× 945 1.8× 251 0.7× 232 4.3k
Chandrasekharan Kesavadas India 35 1.2k 1.0× 516 0.6× 1.1k 1.8× 875 1.6× 580 1.7× 267 4.5k
Hiroshi Toyama Japan 27 1.5k 1.3× 502 0.6× 336 0.5× 267 0.5× 542 1.6× 195 3.2k

Countries citing papers authored by Stefano Diciotti

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Diciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Diciotti

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Diciotti. A scholar is included among the top collaborators of Stefano Diciotti 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 Stefano Diciotti. Stefano Diciotti 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.
Mascalchi, Mario, et al.. (2025). Generating Brain MRI with StyleGAN2-ADA: The Effect of the Training Set Size on the Quality of Synthetic Images. Journal of Imaging Informatics in Medicine.
2.
Giannelli, Marco, Chiara Marzi, Jacopo Del Meglio, et al.. (2024). Test-retest repeatability of myocardial radiomic features from quantitative cardiac magnetic resonance T1 and T2 mapping. Magnetic Resonance Imaging. 113. 110217–110217. 1 indexed citations
3.
Marzi, Chiara, Marco Giannelli, Andrea Barucci, et al.. (2024). Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets. Scientific Data. 11(1). 115–115. 24 indexed citations
4.
Marzi, Chiara, Emilia Salvadori, Antonio Giorgio, et al.. (2023). Fractal dimension of the cortical gray matter outweighs other brain MRI features as a predictor of transition to dementia in patients with mild cognitive impairment and leukoaraiosis. Frontiers in Human Neuroscience. 17. 1231513–1231513. 7 indexed citations
5.
Mascalchi, Mario, Giulia Picozzi, Donella Puliti, et al.. (2023). Lung Cancer Screening with Low-Dose CT: What We Have Learned in Two Decades of ITALUNG and What Is Yet to Be Addressed. Diagnostics. 13(13). 2197–2197. 8 indexed citations
6.
Marzi, Chiara, Andrea Barucci, Jacopo Del Meglio, et al.. (2023). Collinearity and Dimensionality Reduction in Radiomics: Effect of Preprocessing Parameters in Hypertrophic Cardiomyopathy Magnetic Resonance T1 and T2 Mapping. Bioengineering. 10(1). 80–80. 15 indexed citations
7.
Salvadori, Emilia, Carmen Barbato, Francesca Cesari, et al.. (2023). Cognitive phenotypes and factors associated with cognitive decline in a cohort of older patients with atrial fibrillation: The Strat‐AF study. European Journal of Neurology. 30(4). 849–860. 6 indexed citations
8.
Marzi, Chiara, Alessandro d’Ambrosio, Stefano Diciotti, et al.. (2022). Prediction of the information processing speed performance in multiple sclerosis using a machine learning approach in a large multicenter magnetic resonance imaging data set. Human Brain Mapping. 44(1). 186–202. 17 indexed citations
9.
Battaglia, Simone, Stefano Orsolini, Sara Borgomaneri, et al.. (2022). Characterizing cardiac autonomic dynamics of fear learning in humans. Psychophysiology. 59(12). e14122–e14122. 59 indexed citations
10.
Chessa, Francesco, Riccardo Schiavina, Lorenzo Bianchi, et al.. (2020). Three dimensional model of the prostate and augmented reality robot assisted radical prostatectomy: A randomized controlled study to evaluate intraoperative and pathologic outcomes. European Urology Open Science. 19. e1774–e1775. 1 indexed citations
12.
Valenti, Raffaella, Alessandra Del Bene, Anna Poggesi, et al.. (2016). Cerebral microbleeds in patients with mild cognitive impairment and small vessel disease: The Vascular Mild Cognitive Impairment (VMCI)-Tuscany study. Journal of the Neurological Sciences. 368. 195–202. 26 indexed citations
13.
Mascalchi, Mario, et al.. (2016). Effectiveness of 3D T2-Weighted FLAIR FSE Sequences with Fat Suppression for Detection of Brain MR Imaging Signal Changes in Children. American Journal of Neuroradiology. 37(12). 2376–2381. 4 indexed citations
14.
Lilli, Alessio, Carlo Tessa, Stefano Diciotti, et al.. (2015). Simultaneous strain–volume analysis by three-dimensional echocardiography. Journal of Cardiovascular Medicine. 18(4). 223–229. 10 indexed citations
15.
Mascalchi, Mario, Giulia Picozzi, Massimo Falchini, et al.. (2014). Initial LDCT appearance of incident lung cancers in the ITALUNG trial. European Journal of Radiology. 83(11). 2080–2086. 15 indexed citations
16.
Barbieri, Riccardo, Gaetano Valenza, Luca Citi, et al.. (2014). Lower instantaneous entropy of heartbeat dynamics characterizes cognitive impairment in Parkinson's disease. CINECA IRIS Institutial research information system (University of Pisa). 41. 81–84. 2 indexed citations
17.
Barbieri, Riccardo, Luca Citi, Gaetano Valenza, et al.. (2013). Increased instability of heartbeat dynamics in Parkinson's disease. Open Access at Essex (University of Essex). 40. 89–92. 6 indexed citations
18.
Diciotti, Stefano, Giulia Picozzi, Massimo Falchini, et al.. (2008). 3-D Segmentation Algorithm of Small Lung Nodules in Spiral CT Images. IEEE Transactions on Information Technology in Biomedicine. 12(1). 7–19. 98 indexed citations
19.
Diciotti, Stefano, et al.. (2008). The characteristic scale as a consistent indicator of lung nodule size in CT imaging. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
20.
Camiciottoli, Gianna, Edoardo Cavigli, Stefano Diciotti, et al.. (2008). Prevalence and correlates of pulmonary emphysema in smokers and former smokers. A densitometric study of participants in the ITALUNG trial. European Radiology. 19(1). 58–66. 42 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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