Aurelio Piazzi

124 total papers · 2.4k total citations
98 papers, 1.8k citations indexed

About

Aurelio Piazzi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Aurelio Piazzi has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Control and Systems Engineering, 23 papers in Computer Vision and Pattern Recognition and 12 papers in Mechanical Engineering. Recurrent topics in Aurelio Piazzi's work include Advanced Control Systems Optimization (36 papers), Iterative Learning Control Systems (25 papers) and Robotic Mechanisms and Dynamics (20 papers). Aurelio Piazzi is often cited by papers focused on Advanced Control Systems Optimization (36 papers), Iterative Learning Control Systems (25 papers) and Robotic Mechanisms and Dynamics (20 papers). Aurelio Piazzi collaborates with scholars based in Italy and United States. Aurelio Piazzi's co-authors include Antonio Visioli, Corrado Guarino Lo Bianco, Luca Consolini, Massimo Bertozzi, A. Fascioli, Alberto Broggi, M. Romano, G. Marro, R. Menozzi and Marco Locatelli and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Aurelio Piazzi

92 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
Aurelio Piazzi 1.4k 700 329 300 159 98 1.8k
Goele Pipeleers 1.6k 1.1× 453 0.6× 193 0.6× 474 1.6× 262 1.6× 146 2.0k
Pierre Melchior 1.1k 0.8× 364 0.5× 161 0.5× 126 0.4× 106 0.7× 117 1.8k
Xiang Chen 755 0.5× 380 0.5× 237 0.7× 331 1.1× 156 1.0× 191 1.8k
Mansour Karkoub 834 0.6× 201 0.3× 200 0.6× 531 1.8× 192 1.2× 127 1.7k
Xiongxiong He 1.3k 0.9× 263 0.4× 226 0.7× 442 1.5× 101 0.6× 174 2.2k
Hashem Ashrafiuon 1.3k 0.9× 290 0.4× 183 0.6× 293 1.0× 311 2.0× 124 2.1k
Josep Tornero 709 0.5× 689 1.0× 144 0.4× 366 1.2× 302 1.9× 102 1.6k
Jian Gao 681 0.5× 299 0.4× 130 0.4× 337 1.1× 63 0.4× 108 1.3k
Luca Consolini 1.0k 0.7× 402 0.6× 103 0.3× 176 0.6× 201 1.3× 111 1.4k
M C Good 992 0.7× 268 0.4× 219 0.7× 528 1.8× 254 1.6× 68 1.8k

Countries citing papers authored by Aurelio Piazzi

Since Specialization
Citations

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

Fields of papers citing papers by Aurelio Piazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurelio Piazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Aurelio Piazzi. A scholar is included among the top collaborators of Aurelio Piazzi 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 Aurelio Piazzi. Aurelio Piazzi 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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