Alfredo Vaccaro

4.7k total citations
203 papers, 3.7k citations indexed

About

Alfredo Vaccaro is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Alfredo Vaccaro has authored 203 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Electrical and Electronic Engineering, 102 papers in Control and Systems Engineering and 26 papers in Computer Networks and Communications. Recurrent topics in Alfredo Vaccaro's work include Optimal Power Flow Distribution (43 papers), Smart Grid Security and Resilience (39 papers) and Power System Optimization and Stability (37 papers). Alfredo Vaccaro is often cited by papers focused on Optimal Power Flow Distribution (43 papers), Smart Grid Security and Resilience (39 papers) and Power System Optimization and Stability (37 papers). Alfredo Vaccaro collaborates with scholars based in Italy, United Kingdom and Canada. Alfredo Vaccaro's co-authors include D. Villacci, Claudio A. Cañizares, Vincenzo Loia, Ahmed F. Zobaa, Carmen Del Vecchio, Alessandra Parisio, Antonio Piccolo, Vincenzo Galdi, Lucio Ippolito and Kankar Bhattacharya and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Proceedings of the IEEE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Alfredo Vaccaro

191 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alfredo Vaccaro Italy 32 2.9k 1.7k 374 359 258 203 3.7k
Zheng Yan China 33 2.5k 0.8× 1.1k 0.7× 278 0.7× 230 0.6× 369 1.4× 248 3.6k
Xiaodong Liang Canada 28 3.2k 1.1× 2.6k 1.6× 211 0.6× 373 1.0× 228 0.9× 302 4.4k
M. Sami Fadali United States 27 2.0k 0.7× 1.6k 1.0× 187 0.5× 227 0.6× 603 2.3× 165 3.5k
Siqi Bu Hong Kong 32 2.7k 0.9× 1.7k 1.0× 149 0.4× 383 1.1× 178 0.7× 208 3.3k
Toshihisa Funabashi Japan 34 3.9k 1.3× 2.1k 1.3× 108 0.3× 331 0.9× 511 2.0× 215 4.5k
Salman Mohagheghi United States 28 2.6k 0.9× 1.8k 1.1× 262 0.7× 154 0.4× 565 2.2× 120 3.8k
Kevin Tomsovic United States 43 5.7k 2.0× 4.0k 2.4× 335 0.9× 294 0.8× 294 1.1× 194 6.5k
Christian Rehtanz Germany 38 5.2k 1.8× 3.2k 1.9× 303 0.8× 311 0.9× 144 0.6× 403 5.9k
Rahmat‐Allah Hooshmand Iran 40 4.6k 1.6× 2.4k 1.4× 128 0.3× 447 1.2× 236 0.9× 175 5.1k
Yunhe Hou Hong Kong 38 4.8k 1.6× 2.9k 1.7× 376 1.0× 276 0.8× 347 1.3× 242 5.7k

Countries citing papers authored by Alfredo Vaccaro

Since Specialization
Citations

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

Fields of papers citing papers by Alfredo Vaccaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alfredo Vaccaro

This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Vaccaro. A scholar is included among the top collaborators of Alfredo Vaccaro 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 Alfredo Vaccaro. Alfredo Vaccaro 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.
Abdelghany, Muhammad Bakr, Moataz Mohamed, Jiefeng Hu, et al.. (2025). Hydrogen energy systems for decarbonizing smart cities and industrial applications: A review. Renewable and Sustainable Energy Reviews. 226. 116370–116370.
2.
De, Fabrizio, et al.. (2024). Transfer learning-based methodologies for Dynamic Thermal Rating of transmission lines. Electric Power Systems Research. 229. 110206–110206. 4 indexed citations
3.
De, Fabrizio, Adam J. Collin, Giorgio Maria Giannuzzi, Cosimo Pisani, & Alfredo Vaccaro. (2024). Experimental Assessment of Markov Chain Models for Data-Driven Voltage Forecasting. 9(1). 1 indexed citations
4.
5.
De, Fabrizio, Giuseppe Graber, Vito Calderaro, et al.. (2024). Economic Challenges in V2G Implementation: an Italian Market Analysis. Zenodo (CERN European Organization for Nuclear Research). 1–6. 2 indexed citations
6.
Astolfi, Davide, Fabrizio De, Marco Pasetti, et al.. (2024). Investigation of Wind Turbine Static Yaw Error Based on Utility-Scale Controlled Experiments. IEEE Transactions on Industry Applications. 60(4). 6559–6568. 1 indexed citations
7.
Astolfi, Davide, Marco Pasetti, Fabrizio De, et al.. (2024). A Fleet-Wide Context-Aware Approach to Wind Power Data Imputation. Institutional Research Information System (Università degli Studi di Brescia). 1–6. 1 indexed citations
8.
Astolfi, Davide, Fabrizio De, & Alfredo Vaccaro. (2023). Enhancing Wind Turbine Power Curve Monitoring with eXplainable Artificial Intelligence Techniques. Institutional Research Information System (Università degli Studi di Brescia). 758–763. 1 indexed citations
9.
Astolfi, Davide, Fabrizio De, & Alfredo Vaccaro. (2023). Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques. Energies. 16(15). 5818–5818. 6 indexed citations
10.
Astolfi, Davide, Fabrizio De, & Alfredo Vaccaro. (2023). Wind Power Applications of eXplainable Artificial Intelligence Techniques. Institutional Research Information System (Università degli Studi di Brescia). 1–6. 1 indexed citations
11.
Domínguez‐García, José Luís, et al.. (2022). The Impact of Frequency Support by Wind Turbines on the Small-Signal Stability of Power Systems. Energies. 15(22). 8470–8470. 1 indexed citations
12.
De, Fabrizio, et al.. (2022). A Digital Twin Approach for Improving Estimation Accuracy in Dynamic Thermal Rating of Transmission Lines. Energies. 15(6). 2254–2254. 15 indexed citations
13.
De, Fabrizio, et al.. (2021). DAFT-E: Feature-Based Multivariate and Multi-Step-Ahead Wind Power Forecasting. IEEE Transactions on Sustainable Energy. 13(2). 1199–1209. 21 indexed citations
14.
Xu, Fangyuan, et al.. (2018). Classifier economics of Semi-Intrusive Load Monitoring. International Journal of Electrical Power & Energy Systems. 103. 224–232. 12 indexed citations
15.
Zobaa, Ahmed F. & Alfredo Vaccaro. (2015). Computational Intelligence Applications in Smart Grids: Enabling Methodologies for Proactive and Self-Organizing Power Systems. IMPERIAL COLLEGE PRESS eBooks. 1–245. 3 indexed citations
16.
Loia, Vincenzo, et al.. (2013). Decentralized Consensus Protocols: The Enabler for Smarter Grids Monitoring. 1559–1564. 7 indexed citations
17.
Vaccaro, Alfredo & D. Villacci. (2009). A decision support system for optimal energy sourcing in liberalised energy markets. IET Conference Publications. 1012–1012. 1 indexed citations
18.
Vaccaro, Alfredo & D. Villacci. (2008). An Adaptive Smart Sensor Network for Overhead Lines Thermal Rating Prediction. International Journal of Emerging Electric Power Systems. 9(4). 7 indexed citations
19.
Piccolo, Antonio, Alfredo Vaccaro, & D. Villacci. (2005). Fuzzy Logic Based Optimal Power Flow Management in Parallel Hybrid Electric Vehicles. 4(2). 83–93. 3 indexed citations
20.
Calderaro, Vito, Vincenzo Galdi, S. Raiti, & Alfredo Vaccaro. (2004). ICT in distribution networks with wind power generation to improve voltage profiles. International Universities Power Engineering Conference. 2. 815–821. 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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