Luca De Vito

2.8k total citations
189 papers, 2.0k citations indexed

About

Luca De Vito is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Luca De Vito has authored 189 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Electrical and Electronic Engineering, 57 papers in Biomedical Engineering and 51 papers in Computer Networks and Communications. Recurrent topics in Luca De Vito's work include Analog and Mixed-Signal Circuit Design (30 papers), Advanced Electrical Measurement Techniques (24 papers) and Sparse and Compressive Sensing Techniques (21 papers). Luca De Vito is often cited by papers focused on Analog and Mixed-Signal Circuit Design (30 papers), Advanced Electrical Measurement Techniques (24 papers) and Sparse and Compressive Sensing Techniques (21 papers). Luca De Vito collaborates with scholars based in Italy, United States and Switzerland. Luca De Vito's co-authors include Sergio Rapuano, Pasquale Daponte, Francesco Picariello, Ioan Tudosa, Eulalia Balestrieri, Maria Riccio, Francesco Lamonaca, Grazia Iadarola, Domenico Grimaldi and Marisa Pecce and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Luca De Vito

172 papers receiving 1.9k citations

Peers

Luca De Vito
Luca De Vito
Citations per year, relative to Luca De Vito Luca De Vito (= 1×) peers Sergio Rapuano

Countries citing papers authored by Luca De Vito

Since Specialization
Citations

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

Fields of papers citing papers by Luca De Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca De Vito. 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 Luca De Vito. The network helps show where Luca De Vito may publish in the future.

Co-authorship network of co-authors of Luca De Vito

This figure shows the co-authorship network connecting the top 25 collaborators of Luca De Vito. A scholar is included among the top collaborators of Luca De Vito 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 Luca De Vito. Luca De Vito 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.
Iadarola, Grazia, et al.. (2025). An ECG compression method exploiting a QRS detector for sparse dictionary learning. Measurement. 258. 119177–119177.
3.
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.
4.
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
5.
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.
6.
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
7.
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
8.
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
9.
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
10.
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
11.
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
12.
Iadarola, Grazia, Pasquale Daponte, Luca De Vito, & Sergio Rapuano. (2023). On the Effects of PRBS Non-Idealities in Signal Reconstruction from AICs. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 4 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.
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
15.
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
16.
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
17.
Scalabrino, Simone, et al.. (2020). MIPHAS: Military Performances and Health Analysis System. 198–207.
18.
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
19.
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
20.
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

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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