Vincenzo Randazzo

671 total citations
31 papers, 325 citations indexed

About

Vincenzo Randazzo is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, Vincenzo Randazzo has authored 31 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Vincenzo Randazzo's work include ECG Monitoring and Analysis (9 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Heart Rate Variability and Autonomic Control (5 papers). Vincenzo Randazzo is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Heart Rate Variability and Autonomic Control (5 papers). Vincenzo Randazzo collaborates with scholars based in Italy, France and Fiji. Vincenzo Randazzo's co-authors include Eros Pasero, Giansalvo Cirrincione, Gabriele Ciravegna, Pietro Barbiero, J. Hérault, Alberto Vallan, Giovanni Tripepi, Valentina Cauda, Andrea Ancona and Riccardo Maria Fagugli and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Vincenzo Randazzo

28 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincenzo Randazzo Italy 12 135 116 42 38 36 31 325
Teddy M. Cheng Australia 13 77 0.6× 70 0.6× 16 0.4× 37 1.0× 139 3.9× 32 529
Shuang Leng Singapore 12 220 1.6× 49 0.4× 47 1.1× 20 0.5× 42 1.2× 35 509
Aki Mäkivirta Finland 11 83 0.6× 192 1.7× 197 4.7× 37 1.0× 25 0.7× 43 490
Rohan Banerjee India 10 164 1.2× 177 1.5× 108 2.6× 69 1.8× 43 1.2× 25 417
J. Habetha Germany 12 213 1.6× 91 0.8× 24 0.6× 26 0.7× 19 0.5× 27 529
Fei Qian Japan 8 102 0.8× 152 1.3× 31 0.7× 15 0.4× 9 0.3× 41 290
Aykut Di̇ker Türkiye 11 153 1.1× 81 0.7× 7 0.2× 45 1.2× 12 0.3× 19 305
Rafael González-Landaeta Mexico 10 93 0.7× 179 1.5× 47 1.1× 8 0.2× 7 0.2× 26 315
P. Kostka Poland 10 174 1.3× 227 2.0× 85 2.0× 32 0.8× 33 0.9× 45 333
Tati L. R. Mengko Indonesia 12 39 0.3× 70 0.6× 11 0.3× 67 1.8× 16 0.4× 64 386

Countries citing papers authored by Vincenzo Randazzo

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Randazzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Randazzo

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Randazzo. A scholar is included among the top collaborators of Vincenzo Randazzo 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 Vincenzo Randazzo. Vincenzo Randazzo 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.
Randazzo, Vincenzo, et al.. (2025). Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches. IEEE Access. 13. 128562–128581. 1 indexed citations
2.
Randazzo, Vincenzo, Eros Pasero, Carla Giustetto, et al.. (2025). A Vision Transformer Model for the Prediction of Fatal Arrhythmic Events in Patients with Brugada Syndrome. Sensors. 25(3). 824–824. 1 indexed citations
3.
4.
Benedetto, Marco Di, et al.. (2024). Digital Twin Based Identification of Passive Parameters of Three-phase Boost Rectifier using a GRU Neural Network. Iris (Roma Tre University). 4431–4436. 1 indexed citations
5.
6.
7.
Pasero, Eros, et al.. (2023). Artificial Intelligence ECG Analysis in Patients with Short QT Syndrome to Predict Life-Threatening Arrhythmic Events. Sensors. 23(21). 8900–8900. 9 indexed citations
8.
Randazzo, Vincenzo, et al.. (2023). Non-Invasive Arterial Blood Pressure Estimation from Electrocardiogram and Photoplethysmography Signals Using a Conv1D-BiLSTM Neural Network. SHILAP Revista de lepidopterología. 78–78. 5 indexed citations
9.
Kumar, Rahul, et al.. (2022). Tracking Evolution of Stator-based Fault in Induction Machines using the Growing Curvilinear Component Analysis Neural Network. 2022 25th International Conference on Electrical Machines and Systems (ICEMS). 2016. 1–5. 1 indexed citations
10.
Ancona, Andrea, Giovanni Tripepi, Vincenzo Randazzo, et al.. (2022). External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients. Journal of Nephrology. 35(8). 2047–2056. 12 indexed citations
11.
Randazzo, Vincenzo, et al.. (2022). Development and Validation of an Algorithm for the Digitization of ECG Paper Images. Sensors. 22(19). 7138–7138. 10 indexed citations
12.
Ancona, Andrea, Giovanni Tripepi, Vincenzo Randazzo, et al.. (2021). A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients. Journal of Nephrology. 34(6). 1875–1886. 27 indexed citations
13.
Randazzo, Vincenzo, et al.. (2021). A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction. Cognitive Computation. 14(5). 1689–1710. 51 indexed citations
14.
Barbiero, Pietro, Gabriele Ciravegna, Vincenzo Randazzo, Eros Pasero, & Giansalvo Cirrincione. (2021). Topological Gradient-based Competitive Learning. arXiv (Cornell University). 12. 1–8. 1 indexed citations
15.
Randazzo, Vincenzo, et al.. (2020). A Wearable Smart Device to Monitor Multiple Vital Parameters—VITAL ECG. Electronics. 9(2). 300–300. 28 indexed citations
16.
Barbiero, Pietro, et al.. (2020). Towards Uncovering Feature Extraction From Temporal Signals in Deep CNN: the ECG Case Study. 1–7. 6 indexed citations
17.
Ferrero, Renato, et al.. (2019). Ubiquitous fridge with natural language interaction. 404–409. 8 indexed citations
18.
Cirrincione, Giansalvo, Gabriele Ciravegna, Pietro Barbiero, Vincenzo Randazzo, & Eros Pasero. (2019). The GH-EXIN neural network for hierarchical clustering. Neural Networks. 121. 57–73. 15 indexed citations
19.
Randazzo, Vincenzo, Giansalvo Cirrincione, Gabriele Ciravegna, & Eros Pasero. (2018). Nonstationary topological learning with bridges and convex polytopes: the G-EXIN neural network. 1–6. 2 indexed citations
20.
Cirrincione, Giansalvo, Vincenzo Randazzo, & Eros Pasero. (2018). The Growing Curvilinear Component Analysis (GCCA) neural network. Neural Networks. 103. 108–117. 5 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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2026