Francesco Grasso

2.6k total citations
151 papers, 1.9k citations indexed

About

Francesco Grasso is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Francesco Grasso has authored 151 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Electrical and Electronic Engineering, 39 papers in Control and Systems Engineering and 18 papers in Automotive Engineering. Recurrent topics in Francesco Grasso's work include VLSI and Analog Circuit Testing (15 papers), Power Quality and Harmonics (15 papers) and Advanced DC-DC Converters (14 papers). Francesco Grasso is often cited by papers focused on VLSI and Analog Circuit Testing (15 papers), Power Quality and Harmonics (15 papers) and Advanced DC-DC Converters (14 papers). Francesco Grasso collaborates with scholars based in Italy, United States and Germany. Francesco Grasso's co-authors include T. B. Gatski, Sergio Pirozzoli, Antonio Luchetta, Maria Cristina Piccirilli, S. Manetti, Alberto Reatti, Fabio Corti, Libero Paolucci, Giacomo Talluri and Luca Pugi and has published in prestigious journals such as Cancer Research, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Francesco Grasso

140 papers receiving 1.9k 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 Grasso Italy 22 883 458 336 232 220 151 1.9k
Yangang Wang China 20 711 0.8× 260 0.6× 506 1.5× 104 0.4× 81 0.4× 103 2.0k
Xin Ma China 29 432 0.5× 94 0.2× 831 2.5× 236 1.0× 227 1.0× 208 3.0k
Yun Yang Hong Kong 28 1.5k 1.7× 160 0.3× 829 2.5× 76 0.3× 477 2.2× 120 2.3k
Jung‐Ho Park South Korea 19 698 0.8× 237 0.5× 457 1.4× 39 0.2× 59 0.3× 126 1.9k
Chen Yi China 24 310 0.4× 193 0.4× 108 0.3× 113 0.5× 78 0.4× 127 1.7k
Cornelia Fermüller United States 31 567 0.6× 77 0.2× 433 1.3× 591 2.5× 36 0.2× 144 3.1k
David J. Powell United Kingdom 7 483 0.5× 74 0.2× 1.0k 3.0× 190 0.8× 106 0.5× 11 1.9k
Se‐Young Oh South Korea 22 598 0.7× 191 0.4× 442 1.3× 1.5k 6.6× 179 0.8× 129 2.8k
Qi Wei China 17 737 0.8× 50 0.1× 99 0.3× 742 3.2× 27 0.1× 135 1.8k
Yong Liu China 31 2.1k 2.4× 44 0.1× 1.1k 3.4× 104 0.4× 100 0.5× 163 2.7k

Countries citing papers authored by Francesco Grasso

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Grasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Grasso

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Grasso. A scholar is included among the top collaborators of Francesco Grasso 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 Grasso. Francesco Grasso 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.
Patrizi, Gabriele, et al.. (2024). Anomaly Detection for Power Quality Analysis Using Smart Metering Systems. Sensors. 24(17). 5807–5807. 3 indexed citations
2.
Bartolini, Alessandro, Marcantonio Catelani, Lorenzo Ciani, et al.. (2024). Power Quality Meter based on Low-Cost Smart Platform. Florence Research (University of Florence). 162–167.
3.
Bindi, Marco, et al.. (2024). Community Battery for Collective Self-Consumption and Energy Arbitrage: Independence Growth vs. Investment Cost-Effectiveness. Sustainability. 16(8). 3111–3111. 6 indexed citations
4.
Belloni, Elisa, et al.. (2024). A Computationally Efficient Rule-Based Scheduling Algorithm for Battery Energy Storage Systems. Sustainability. 16(23). 10313–10313. 5 indexed citations
5.
Sergio, Maria, Francesco Grasso, Gregorio Serra, et al.. (2023). Penile Length Assessment of Children Treated for Primary Buried Penis: Can Satisfying Penile Growth Always Be Achieved?. Children. 10(7). 1254–1254. 2 indexed citations
6.
Carratù, Marco, Paolo Sommella, Alessandro Bartolini, et al.. (2023). A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 29 indexed citations
7.
Bindi, Marco, Maria Cristina Piccirilli, Antonio Luchetta, & Francesco Grasso. (2023). A Comprehensive Review of Fault Diagnosis and Prognosis Techniques in High Voltage and Medium Voltage Electrical Power Lines. Energies. 16(21). 7317–7317. 29 indexed citations
8.
Bindi, Marco, Fabio Corti, Antonio Luchetta, et al.. (2023). Power Quality Analysis Based on Machine Learning Methods for Low-Voltage Electrical Distribution Lines. Energies. 16(9). 3627–3627. 8 indexed citations
9.
Bindi, Marco, Antonio Luchetta, Gabriele Maria Lozito, et al.. (2023). Frequency Characterization of Medium Voltage Cables for Fault Prevention Through Multi-Valued Neural Networks and Power Line Communication Technologies. IEEE Transactions on Power Delivery. 38(5). 3227–3237. 10 indexed citations
10.
11.
Corti, Fabio, et al.. (2023). A Theoretical Analysis of the Direct Flux Control Technique for Inter-Turns Short-Circuits in PMSMs. Florence Research (University of Florence). 1–6. 1 indexed citations
12.
Bindi, Marco, Fabio Corti, Francesco Grasso, et al.. (2022). Failure Prevention in DC–DC Converters: Theoretical Approach and Experimental Application on a Zeta Converter. IEEE Transactions on Industrial Electronics. 70(1). 930–939. 22 indexed citations
13.
Bindi, Marco, Maria Cristina Piccirilli, Antonio Luchetta, Francesco Grasso, & S. Manetti. (2022). Testability Evaluation in Time-Variant Circuits: A New Graphical Method. Electronics. 11(10). 1589–1589. 6 indexed citations
14.
Bindi, Marco, Fabio Corti, Igor Aizenberg, et al.. (2022). Machine Learning-Based Monitoring of DC-DC Converters in Photovoltaic Applications. Algorithms. 15(3). 74–74. 24 indexed citations
15.
Aizenberg, Igor, Marco Bindi, Francesco Grasso, et al.. (2021). A Neural Network Classifier with Multi-Valued Neurons for Analog Circuit Fault Diagnosis. Electronics. 10(3). 349–349. 17 indexed citations
16.
Aizenberg, Igor, Marco Bindi, Francesco Grasso, et al.. (2020). Failure Prevention and Malfunction Localization in Underground Medium Voltage Cables. Energies. 14(1). 85–85. 14 indexed citations
17.
Krim, Fateh, et al.. (2020). A Nonlinear Back-stepping Controller of DC-DC Non Inverting Buck-Boost Converter for Maximizing Photovoltaic Power Extraction. Florence Research (University of Florence). 1–6. 6 indexed citations
18.
Corti, Fabio, et al.. (2020). A Comprehensive Comparison of Resonant Topologies for Magnetic Wireless Power Transfer. Florence Research (University of Florence). 582–587. 28 indexed citations
19.
Grasso, Francesco. (2011). Near Wake Simulation of Mexico Rotor in Axial and Yawed Flow Conditions with Lifting Line Free Wake Code:. TNO Repository. 2 indexed citations
20.
Belingardi, Giovanni, et al.. (1998). Energy absorption and damage degree in impact testing of composite materials. PORTO Publications Open Repository TOrino (Politecnico di Torino). 10 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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