Stefano Patarnello

1.3k total citations
38 papers, 775 citations indexed

About

Stefano Patarnello is a scholar working on Condensed Matter Physics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stefano Patarnello has authored 38 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Condensed Matter Physics, 7 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stefano Patarnello's work include Theoretical and Computational Physics (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Complex Systems and Time Series Analysis (4 papers). Stefano Patarnello is often cited by papers focused on Theoretical and Computational Physics (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Complex Systems and Time Series Analysis (4 papers). Stefano Patarnello collaborates with scholars based in Italy, United States and France. Stefano Patarnello's co-authors include Roberto Benzi, P. Santangelo, P. Carnevali, Sergio Caracciolo, Luke J. Coletti, Giorgio Parisi, Nicolas Sourlas, G. Paladin, Angelo Vulpiani and Vincenzo Valentini and has published in prestigious journals such as PLoS ONE, Nuclear Physics B and Physics Letters A.

In The Last Decade

Stefano Patarnello

36 papers receiving 735 citations

Peers

Stefano Patarnello

CMP

SNP

Stéphane G. Roux France

A. Noullez France

Federico Massaioli Italy

Francesco Zirilli Italy

George Vahala United States

G. Grasseau France

Jean Duchon France

Jonathan C. Mattingly United States

Ilya Timofeyev United States

Divakar Viswanath United States

Stéphane G. Roux France

Stefano Patarnello

62 ×0.2

80 ×0.6

CMP

71 ×0.5

57 ×0.5

99 ×1.0

SNP

Citations per year, relative to Stefano Patarnello Stefano Patarnello (= 1×) peers Stéphane G. Roux

Countries citing papers authored by Stefano Patarnello

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Patarnello

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Patarnello

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Patarnello. A scholar is included among the top collaborators of Stefano Patarnello 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 Patarnello. Stefano Patarnello 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

Santoro, Mario, et al.. (2025). MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers. BMC Medical Informatics and Decision Making. 25(1). 160–160. 1 indexed citations

Bosello, Silvia Laura, Stefano Patarnello, Augusta Ortolan, et al.. (2024). A Comprehensive Natural Language Processing Pipeline for the Chronic Lupus Disease. Studies in health technology and informatics. 316. 909–913. 2 indexed citations

Fionda, Bruno, Elisa Placidi, Mischa de Ridder, et al.. (2024). Artificial intelligence in interventional radiotherapy (brachytherapy): Enhancing patient-centered care and addressing patients’ needs. Clinical and Translational Radiation Oncology. 49. 100865–100865. 1 indexed citations

Caliandro, Pietro, Jacopo Lenkowicz, Giuseppe Reale, et al.. (2024). Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project. European Stroke Journal. 9(4). 1053–1062. 4 indexed citations

Murri, Rita, Giulia De Angelis, Barbara Fiori, et al.. (2024). A Machine Learning Predictive Model of Bloodstream Infection in Hospitalized Patients. Diagnostics. 14(4). 445–445. 7 indexed citations

Capece, Umberto, Teresa Mezza, Alfredo Cesario, et al.. (2024). Real-world evidence evaluation of LDL-C in hospitalized patients: a population-based observational study in the timeframe 2021–2022. Lipids in Health and Disease. 23(1). 224–224. 2 indexed citations

Patarnello, Stefano, et al.. (2024). LlamaMTS: Optimizing Metastasis Detection with Llama Instruction Tuning and BERT-Based Ensemble in Italian Clinical Reports. 162–171. 2 indexed citations

D’Amario, Domenico, Renzo Laborante, Jacopo Lenkowicz, et al.. (2023). GENERATOR HEART FAILURE DataMart: An integrated framework for heart failure research. Frontiers in Cardiovascular Medicine. 10. 1104699–1104699. 7 indexed citations

Miele, Luca, Antonio Liguori, Carlotta Masciocchi, et al.. (2023). Fib-4 score is able to predict intra-hospital mortality in 4 different SARS-COV2 waves. Internal and Emergency Medicine. 18(5). 1415–1427. 2 indexed citations

10.

D’Amario, Domenico, Daniele Rodolico, Renzo Laborante, et al.. (2023). Eligibility for the 4 Pharmacological Pillars in Heart Failure With Reduced Ejection Fraction at Discharge. Journal of the American Heart Association. 12(13). e029071–e029071. 18 indexed citations

11.

Mercurio, Giovanna, Jacopo Lenkowicz, Stefano Patarnello, et al.. (2023). A novel risk score predicting 30‐day hospital re‐admission of patients with acute stroke by machine learning model. European Journal of Neurology. 31(3). e16153–e16153. 5 indexed citations

12.

Casà, Calogero, Francesco Cellini, Patrizia Cornacchione, et al.. (2023). KIT 1 (Keep in Touch) Project—Televisits for Cancer Patients during Italian Lockdown for COVID-19 Pandemic: The Real-World Experience of Establishing a Telemedicine System. Healthcare. 11(13). 1950–1950. 2 indexed citations

13.

Coratti, Giorgia, Jacopo Lenkowicz, Stefano Patarnello, et al.. (2022). Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study. PLoS ONE. 17(5). e0267930–e0267930. 2 indexed citations

14.

Macchia, Gabriella, Gabriella Ferrandina, Stefano Patarnello, et al.. (2022). Multidisciplinary Tumor Board Smart Virtual Assistant in Locally Advanced Cervical Cancer: A Proof of Concept. Frontiers in Oncology. 11. 797454–797454. 14 indexed citations

15.

Fionda, Bruno, Luca Boldrini, Andrea D’Aviero, et al.. (2020). Artificial intelligence (AI) and interventional radiotherapy (brachytherapy): state of art and future perspectives. Journal of Contemporary Brachytherapy. 12(5). 497–500. 31 indexed citations

16.

Burgess, Neil, et al.. (1991). 3-D OBJECT CLASSIFICATION: APPLICATION OF A CONSTRUCTIVE ALGORITHM. International Journal of Neural Systems. 2(4). 275–282. 4 indexed citations

17.

Benzi, Roberto, Stefano Patarnello, & P. Santangelo. (1988). Self-similar coherent structures in two-dimensional decaying turbulence. Journal of Physics A Mathematical and General. 21(5). 1221–1237. 155 indexed citations

18.

Caracciolo, Sergio & Stefano Patarnello. (1988). Effects of frustration on the orderings of multi-valued spin systems. Physics Letters A. 126(4). 233–238. 12 indexed citations

19.

Benzi, Roberto, Stefano Patarnello, & P. Santangelo. (1987). On the Statistical Properties of Two-Dimensional Decaying Turbulence. Europhysics Letters (EPL). 3(7). 811–818. 88 indexed citations

20.

Caracciolo, Sergio & Stefano Patarnello. (1984). A success of the Martinelli-Parisi expansion: the crossover to first-order transition in the 2D Potts model. Journal of Physics A Mathematical and General. 17(18). 3533–3537. 2 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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