Francesco Picariello

1.6k total citations
105 papers, 1.1k citations indexed

About

Francesco Picariello is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Francesco Picariello has authored 105 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 32 papers in Biomedical Engineering and 21 papers in Aerospace Engineering. Recurrent topics in Francesco Picariello's work include Sparse and Compressive Sensing Techniques (16 papers), ECG Monitoring and Analysis (15 papers) and Advanced Electrical Measurement Techniques (12 papers). Francesco Picariello is often cited by papers focused on Sparse and Compressive Sensing Techniques (16 papers), ECG Monitoring and Analysis (15 papers) and Advanced Electrical Measurement Techniques (12 papers). Francesco Picariello collaborates with scholars based in Italy, United States and Slovakia. Francesco Picariello's co-authors include Luca De Vito, Pasquale Daponte, Ioan Tudosa, Sergio Rapuano, Eulalia Balestrieri, Maria Riccio, Francesco Lamonaca, Grazia Iadarola, Giuseppe Silano and Davide Liuzza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Francesco Picariello

96 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Picariello Italy 18 280 262 211 182 180 105 1.1k
Eulalia Balestrieri Italy 15 310 1.1× 323 1.2× 94 0.4× 138 0.8× 98 0.5× 68 817
C. Venkatesan India 18 135 0.5× 186 0.7× 279 1.3× 227 1.2× 63 0.3× 95 1.1k
Luca De Vito Italy 23 647 2.3× 480 1.8× 413 2.0× 158 0.9× 273 1.5× 189 2.0k
Ying Guo Australia 20 847 3.0× 220 0.8× 402 1.9× 126 0.7× 102 0.6× 95 1.8k
Aris S. Lalos Greece 18 454 1.6× 154 0.6× 84 0.4× 26 0.1× 237 1.3× 132 1.2k
Rosario Schiano Lo Moriello Italy 19 438 1.6× 220 0.8× 198 0.9× 19 0.1× 103 0.6× 111 1.1k
Saeed Ur Rehman New Zealand 19 554 2.0× 240 0.9× 159 0.8× 32 0.2× 247 1.4× 67 1.3k
Duc–Tan Tran Vietnam 14 176 0.6× 177 0.7× 59 0.3× 21 0.1× 133 0.7× 147 862
Marco Carratù Italy 19 325 1.2× 85 0.3× 155 0.7× 15 0.1× 111 0.6× 103 1.1k
Yi An China 17 95 0.3× 225 0.9× 108 0.5× 18 0.1× 331 1.8× 58 1.1k

Countries citing papers authored by Francesco Picariello

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Picariello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Picariello

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Picariello. A scholar is included among the top collaborators of Francesco Picariello 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 Francesco Picariello. Francesco Picariello 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.
Balestrieri, Eulalia, Pasquale Daponte, Luca De Vito, et al.. (2025). A Passive-Measurement Method for Physical Security and Cable Diagnosis. IEEE Transactions on Instrumentation and Measurement. 74. 1–12.
2.
Šaliga, Ján, Pasquale Daponte, Luca De Vito, et al.. (2024). Online impedance estimation of induction motor coils using a CS-based measurement method. Measurement Sensors. 38. 101425–101425.
3.
Balestrieri, Eulalia, Pasquale Daponte, Luca De Vito, et al.. (2024). An Improved Compressed Sensing-Based Method for Anomaly Detection in Cables Using Spread Spectrum Signals. 1–6.
4.
Picariello, Francesco, et al.. (2024). Automatic Classification of Anomalous ECG Heartbeats from Samples Acquired by Compressed Sensing. Bioengineering. 11(9). 883–883. 1 indexed citations
5.
Vito, Luca De, et al.. (2024). IoT-Based System for Monitoring the Well-Being of Industrial Operators Through Wearable Devices. Institutional Research Information System (Università degli Studi di Trento). 1–6. 2 indexed citations
6.
Picariello, Francesco, Sergio Rapuano, Luca De Vito, Pasquale Daponte, & Ioan Tudosa. (2024). A sample-and-hold-based sine wave phase measurement system. Measurement. 235. 114934–114934. 1 indexed citations
7.
Balestrieri, Eulalia, Pasquale Daponte, Luca De Vito, et al.. (2024). Two-Wire Cable Anomaly Diagnosis with Machine Learning Based on Passive Measurements. 1–6. 1 indexed citations
8.
Daponte, Pasquale, et al.. (2024). A Compressed-Sensing System for Radio Spectrum Monitoring and Localization of Noncooperative Sources. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 2 indexed citations
9.
Daponte, Pasquale, et al.. (2024). The Uncertainty Assessment by the Monte Carlo Analysis of NDVI Measurements Based on Multispectral UAV Imagery. Sensors. 24(9). 2696–2696. 6 indexed citations
10.
Šaliga, Ján, et al.. (2023). Radial artery pulse wave estimation by compressed sensing measurements of wrist bio-impedance. Measurement. 219. 113174–113174. 2 indexed citations
11.
Daponte, Pasquale, Luca De Vito, Francesco Picariello, Sergio Rapuano, & Ioan Tudosa. (2023). Sensitivity assessment of a phase measurement method used in a waveform recorder traceable testing for ElectroShock Weapons (ESW). 245–250. 1 indexed citations
12.
Daponte, Pasquale, Luca De Vito, Francesco Picariello, Sergio Rapuano, & Ioan Tudosa. (2023). A review of measurement methods for traceable calibration of waveform recorders used in ElectroShock Weapons (ESWs) testing. 22–27. 1 indexed citations
13.
Tudosa, Ioan, Francesco Picariello, Pasquale Daponte, et al.. (2022). Prototype of high accuracy single input phase measurement instrument. Measurement. 201. 111595–111595. 7 indexed citations
14.
Balestrieri, Eulalia, Pasquale Daponte, Luca De Vito, Francesco Picariello, & Ioan Tudosa. (2021). Sensors and Measurements for UAV Safety: An Overview. Sensors. 21(24). 8253–8253. 52 indexed citations
15.
Daponte, Pasquale, Luca De Vito, Grazia Iadarola, Francesco Picariello, & Sergio Rapuano. (2021). Deterministic Compressed Sensing of heart sound signals. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6. 15 indexed citations
16.
Vito, Luca De, et al.. (2021). A Dictionary Optimization Method for Reconstruction of ECG Signals after Compressed Sensing. Sensors. 21(16). 5282–5282. 8 indexed citations
17.
Scalabrino, Simone, et al.. (2020). MIPHAS: Military Performances and Health Analysis System. 198–207.
18.
Vito, Luca De, Francesco Picariello, Sergio Rapuano, Ioan Tudosa, & Lee Barford. (2019). A Compressive Sampling-Based Channel Estimation Method for Network Visibility Instrumentation. IEEE Transactions on Instrumentation and Measurement. 69(5). 2335–2344. 9 indexed citations
19.
Tudosa, Ioan, Francesco Picariello, Eulalia Balestrieri, Luca De Vito, & Francesco Lamonaca. (2019). Hardware Security in IoT era: the Role of Measurements and Instrumentation. 285–290. 34 indexed citations
20.
Balestrieri, Eulalia, Luca De Vito, Francesco Picariello, & Ioan Tudosa. (2019). A Method Exploiting Compressive Sampling for Localization of Radio Frequency Emitters. IEEE Transactions on Instrumentation and Measurement. 69(5). 2325–2334. 7 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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