A. Pagliaro

2.1k total citations
38 papers, 228 citations indexed

About

A. Pagliaro is a scholar working on Cardiology and Cardiovascular Medicine, Nuclear and High Energy Physics and Surgery. According to data from OpenAlex, A. Pagliaro has authored 38 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 6 papers in Nuclear and High Energy Physics and 4 papers in Surgery. Recurrent topics in A. Pagliaro's work include Astrophysics and Cosmic Phenomena (5 papers), Cardiovascular and exercise physiology (4 papers) and Cardiac pacing and defibrillation studies (3 papers). A. Pagliaro is often cited by papers focused on Astrophysics and Cosmic Phenomena (5 papers), Cardiovascular and exercise physiology (4 papers) and Cardiac pacing and defibrillation studies (3 papers). A. Pagliaro collaborates with scholars based in Italy, United States and Germany. A. Pagliaro's co-authors include Matteo Cameli, Flavio D’Ascenzi, Paul Dendale, Marta Focardi, Serafina Valente, Luna Cavigli, Dominique Hansen, Martin Halle, Marco Bonifazi and Francesca Anselmi and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Annals of Oncology.

In The Last Decade

A. Pagliaro

29 papers receiving 218 citations

Peers

A. Pagliaro

CCM

CAM

OSM

PHYSI

Jiajia Zhang China

Yanghui Liu United States

T. McCauley United States

Michael Williams United States

Kosuke Tanabe Japan

Alejandra Christen Argentina

Hue-Teh Shih United States

Fengshi Jing China

Hongyang Zhang China

Changyu Sun United States

Jiajia Zhang China

A. Pagliaro

75 ×0.9

CCM

78 ×1.3

CAM

6 ×0.3

OSM

50 ×2.9

PHYSI

0 ×0.0

Citations per year, relative to A. Pagliaro A. Pagliaro (= 1×) peers Jiajia Zhang

Countries citing papers authored by A. Pagliaro

Since Specialization

Citations

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

Fields of papers citing papers by A. Pagliaro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pagliaro

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

Parola, V. La, G. Cusumano, S. Lombardi, et al.. (2025). Machine Learning-Enhanced Discrimination of Gamma-Ray and Hadron Events Using Temporal Features: An ASTRI Mini-Array Analysis. Applied Sciences. 15(7). 3879–3879.

Pagliaro, A., et al.. (2025). Advanced AI and Machine Learning Techniques for Time Series Analysis and Pattern Recognition. Applied Sciences. 15(6). 3165–3165. 1 indexed citations

Pagliaro, A., et al.. (2025). Variable-Depth Complementary Spiral cooling channel design for the steerable ECRH mirrors of DTT. Fusion Engineering and Design. 219. 115276–115276.

Maruccia, Y., et al.. (2025). An Introduction to Machine Learning Methods for Fraud Detection. Applied Sciences. 15(21). 11787–11787. 1 indexed citations

Martini, L., et al.. (2024). Cardiac resynchronization therapy guided by interventricular conduction delay: How to choose between biventricular pacing or conduction system pacing. Journal of Cardiovascular Electrophysiology. 35(12). 2345–2353. 1 indexed citations

Anzalone, A., A. Pagliaro, & Antonio Tutone. (2024). An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications. Applied Sciences. 14(7). 2887–2887. 9 indexed citations

Bombonati, Alessandro, et al.. (2024). The Decline of Medicare Reimbursement in Clinical Pathology. American Journal of Clinical Pathology. 162(Supplement_1). S100–S101.

Federico, Alessandro Di, Monica F. Chen, A. Pagliaro, et al.. (2024). 1299P First-line immunotherapy versus BRAF and MEK inhibitors for patients with BRAF V600E mutant metastatic non-small cell lung cancer. Annals of Oncology. 35. S826–S827.

Santoro, Amato, et al.. (2023). Biventricular or Conduction System Pacing for Cardiac Resynchronization Therapy: A Strategy for Cardiac Resynchronization Based on a Hybrid Approach. Journal of Cardiovascular Development and Disease. 10(4). 169–169. 5 indexed citations

10.

Pagliaro, A., G. Cusumano, A. La Barbera, V. La Parola, & S. Lombardi. (2023). Application of Machine Learning Ensemble Methods to ASTRI Mini-Array Cherenkov Event Reconstruction. Applied Sciences. 13(14). 8172–8172. 7 indexed citations

11.

D’Ascenzi, Flavio, Luna Cavigli, A. Pagliaro, et al.. (2022). Clinician approach to cardiopulmonary exercise testing for exercise prescription in patients at risk of and with cardiovascular disease. British Journal of Sports Medicine. 56(20). 1180–1187. 34 indexed citations

12.

Palazzuoli, Alberto, et al.. (2022). Different Renal Function Patterns in Patients With Acute Heart Failure: Relationship With Outcome and Congestion. Frontiers in Cardiovascular Medicine. 9. 779828–779828. 3 indexed citations

13.

Anselmi, Francesca, Luna Cavigli, A. Pagliaro, et al.. (2021). Il test da sforzo cardiopolmonare: uno strumento fondamentale per una prescrizione personalizzata dell’esercizio fisico nei pazienti con malattia cardiovascolare. Giornale italiano di cardiologia. 22(9). 716–726. 5 indexed citations

14.

Anselmi, Francesca, Luna Cavigli, A. Pagliaro, et al.. (2021). The importance of ventilatory thresholds to define aerobic exercise intensity in cardiac patients and healthy subjects. Scandinavian Journal of Medicine and Science in Sports. 31(9). 1796–1808. 53 indexed citations

15.

Cameli, Matteo, Maria Concetta Pastore, A. Pagliaro, et al.. (2017). Sacubitril/Valsartan in an Elderly Patient with Heart Failure: A Case Report. Cardiology. 138(Suppl. 1). 3–6. 7 indexed citations

16.

Zacà, Valerio, Stefano Lunghetti, Margherita Padeletti, et al.. (2011). Influence of aetiology on long-term effects of resynchronization on cardiac structure and function in patients treated with β-blockers. Journal of Cardiovascular Medicine. 12(4). 227–233. 3 indexed citations

17.

Ruga, Ezia, et al.. (1994). The use of antibiotics in the treatment and prevention of infection in HIV‐infected children. Acta Paediatrica. 83(s400). 70–72. 3 indexed citations

18.

Gallo, Paolo, Anita De Rossi, Paola Cogo, et al.. (1994). Cerebrospinal fluid analysis in HIV‐1‐infected children: immunological and virological findings before and after AZT therapy. Acta Paediatrica. 83(10). 1038–1042. 18 indexed citations

19.

Pagliaro, A.. (1993). Principi di diritto penale : parte generale. A. Giuffrè eBooks. 8 indexed citations

20.

Pagliaro, A., et al.. (1988). Istituzioni di diritto e procedura penale. A. Giuffrè eBooks. 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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