Roberto Tinarelli

1.6k total citations
162 papers, 1.2k citations indexed

About

Roberto Tinarelli is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Roberto Tinarelli has authored 162 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Electrical and Electronic Engineering, 46 papers in Control and Systems Engineering and 29 papers in Mechanical Engineering. Recurrent topics in Roberto Tinarelli's work include Advanced Electrical Measurement Techniques (44 papers), Power Quality and Harmonics (27 papers) and Non-Destructive Testing Techniques (25 papers). Roberto Tinarelli is often cited by papers focused on Advanced Electrical Measurement Techniques (44 papers), Power Quality and Harmonics (27 papers) and Non-Destructive Testing Techniques (25 papers). Roberto Tinarelli collaborates with scholars based in Italy, United States and Germany. Roberto Tinarelli's co-authors include Lorenzo Peretto, Alessandro Mingotti, R. Sasdelli, Carlo Muscas, Mario Paolone, Alberto Borghetti, S. Corsi, G. Pasini, A.E. Emanuel and C.A. Nucci and has published in prestigious journals such as Sensors, Energies and International Journal of Electrical Power & Energy Systems.

In The Last Decade

Roberto Tinarelli

148 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Tinarelli Italy 18 1.0k 462 156 153 138 162 1.2k
Frank Leferink Netherlands 19 2.0k 1.9× 198 0.4× 131 0.8× 78 0.5× 157 1.1× 359 2.2k
Andrea Mariscotti Italy 26 1.2k 1.2× 388 0.8× 1.1k 7.0× 71 0.5× 371 2.7× 180 2.3k
Manuel Moreno‐Eguilaz Spain 18 746 0.7× 299 0.6× 186 1.2× 23 0.2× 71 0.5× 79 994
Roberto Ferrero Italy 18 565 0.6× 402 0.9× 176 1.1× 34 0.2× 25 0.2× 65 1.0k
Salvatore Nuccio Italy 22 1.3k 1.2× 355 0.8× 226 1.4× 187 1.2× 29 0.2× 71 1.4k
Chih‐Jer Lin Taiwan 19 709 0.7× 966 2.1× 298 1.9× 72 0.5× 14 0.1× 89 1.7k
Rui Xu China 17 121 0.1× 496 1.1× 104 0.7× 90 0.6× 64 0.5× 122 978
H. Wayne Beaty 4 2.0k 1.9× 959 2.1× 106 0.7× 21 0.1× 245 1.8× 7 2.2k
G.W. Swift Canada 18 1.3k 1.3× 730 1.6× 135 0.9× 15 0.1× 164 1.2× 52 1.4k

Countries citing papers authored by Roberto Tinarelli

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Tinarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Tinarelli

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Tinarelli. A scholar is included among the top collaborators of Roberto Tinarelli 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 Roberto Tinarelli. Roberto Tinarelli 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
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Mingotti, Alessandro, et al.. (2025). A Novel Health Index for MV Cable Joint Aging Prediction Based on Dynamic Graph Attention Model. IEEE Transactions on Instrumentation and Measurement. 74. 1–8. 1 indexed citations
4.
Mingotti, Alessandro, et al.. (2024). Analyzing the Performance of AI-Based Battery SoC Estimation: A Metrological Point of View. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 2 indexed citations
5.
Iadarola, Grazia, et al.. (2024). Predictive Maintenance Based on Artificial Neural Network for MV Switchgears. IEEE Sensors Journal. 24(21). 35448–35455. 3 indexed citations
6.
Mingotti, Alessandro, et al.. (2024). Temperature-Based Accuracy Estimation on Instrument Transformers via Neural Networks and Microcontrollers. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 1 indexed citations
7.
Mingotti, Alessandro, et al.. (2024). A Low-Cost Measurement Setup to Test Low-Power Voltage Transformers in the 9 kHz - 150 kHz Frequency Range. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5.
8.
Frigo, Guglielmo, et al.. (2024). Validating Inertia Assessment Metrics in Distribution Systems with High RES Penetration. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 1 indexed citations
9.
Crotti, G., Enrico Mohns, Helko E. van den Brom, et al.. (2024). Characterization of MV Instrument Transformers for Power Quality Measurement: the contribution from the IT4PQ project. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–2. 1 indexed citations
10.
Mingotti, Alessandro, et al.. (2023). Simplifying Rogowski Coil Modeling: Simulation and Experimental Verification. Sensors. 23(19). 8032–8032. 1 indexed citations
11.
Mingotti, Alessandro, et al.. (2023). Cloud-Based PMUs for Real-Time Power System Monitoring: Theoretical and Experimental Analysis. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6.
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Mingotti, Alessandro, et al.. (2023). Simplified Test Method for Harmonic Characterization of Rogowski Coils Under Varying Temperatures. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 28. 1–5. 1 indexed citations
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Mingotti, Alessandro, et al.. (2021). On the Importance of Characterizing Virtual PMUs for Hardware-in-the-Loop and Digital Twin Applications. Sensors. 21(18). 6133–6133. 7 indexed citations
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Mingotti, Alessandro, et al.. (2021). Modeling Stray Capacitances of High-Voltage Capacitive Dividers for Conventional Measurement Setups. Energies. 14(5). 1262–1262. 4 indexed citations
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Mingotti, Alessandro, et al.. (2020). Are Inductive Current Transformers Performance Really Affected by Actual Distorted Network Conditions? An Experimental Case Study. Sensors. 20(3). 927–927. 25 indexed citations
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Mingotti, Alessandro, et al.. (2020). Testing of Electrical Energy Meters Subject to Realistic Distorted Voltages and Currents. Energies. 13(8). 2023–2023. 17 indexed citations
17.
Peretto, Lorenzo, et al.. (2007). Fault Location Method Integrating a Distributed Measurement System and Wavelet Analysis. Conference proceedings - IEEE Instrumentation/Measurement Technology Conference. 2. 1–6. 5 indexed citations
18.
Pasini, G., et al.. (2006). Performance Evaluation of Multifunctional Energy Metering IC under Sinusoidal and Non-Sinusoidal Conditions. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 13. 142–147. 2 indexed citations
19.
Borghetti, Alberto, S. Corsi, Carlo Alberto Nucci, et al.. (2005). On the Use of Continuous-Wavelet Transform for Fault Location in Distribution Power Networks. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 28(9). 608–617. 13 indexed citations
20.
Casini, Lucia, et al.. (1997). Variations in the use of foraging areas by a cormorant Phalacrocorax carbo wintering population: a case study in the Po delta [northern Italy]. Ekologia Polska. 45(1). 197–200. 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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