Vincenzo Galdi

157 total papers · 2.2k total citations
123 papers, 1.8k citations indexed

About

Vincenzo Galdi is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, Vincenzo Galdi has authored 123 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Electrical and Electronic Engineering, 48 papers in Control and Systems Engineering and 39 papers in Automotive Engineering. Recurrent topics in Vincenzo Galdi's work include Microgrid Control and Optimization (36 papers), Optimal Power Flow Distribution (35 papers) and Smart Grid Energy Management (32 papers). Vincenzo Galdi is often cited by papers focused on Microgrid Control and Optimization (36 papers), Optimal Power Flow Distribution (35 papers) and Smart Grid Energy Management (32 papers). Vincenzo Galdi collaborates with scholars based in Italy, United States and Australia. Vincenzo Galdi's co-authors include Vito Calderaro, Antonio Piccolo, Pierluigi Siano, A. Piccolo, Antonio Piccolo, Alfredo Vaccaro, Giuseppe Graber, Gaspare Conio, Giovanni Massa and Lucio Ippolito and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Energy Conversion and Management.

In The Last Decade

Vincenzo Galdi

115 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Vincenzo Galdi 1.5k 897 415 148 142 123 1.8k
Vito Calderaro 1.2k 0.8× 903 1.0× 246 0.6× 130 0.9× 103 0.7× 101 1.5k
D. Lauria 1.1k 0.8× 610 0.7× 443 1.1× 275 1.9× 216 1.5× 158 1.7k
Benoît Robyns 1.5k 1.0× 1.0k 1.1× 389 0.9× 89 0.6× 82 0.6× 132 1.8k
Ali Ghasemi 1.0k 0.7× 928 1.0× 226 0.5× 62 0.4× 118 0.8× 84 2.0k
I. Çadırcı 1.6k 1.1× 675 0.8× 199 0.5× 55 0.4× 240 1.7× 80 1.8k
Amit Kumar Gupta 1.5k 1.0× 609 0.7× 349 0.8× 57 0.4× 265 1.9× 140 2.0k
Samson S. Yu 1.5k 1.0× 874 1.0× 250 0.6× 250 1.7× 111 0.8× 161 2.1k
Maria Carmen Falvo 1.2k 0.8× 426 0.5× 623 1.5× 199 1.3× 131 0.9× 105 1.5k
Shuai Zhao 1.0k 0.7× 634 0.7× 294 0.7× 110 0.7× 307 2.2× 79 2.0k
Yanbo Wang 1.9k 1.3× 1.4k 1.5× 275 0.7× 134 0.9× 202 1.4× 215 2.4k

Countries citing papers authored by Vincenzo Galdi

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Galdi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Galdi

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Galdi. A scholar is included among the top collaborators of Vincenzo Galdi 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 Vincenzo Galdi. Vincenzo Galdi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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