Fabio Pareschi

187 total papers · 2.3k total citations
115 papers, 1.6k citations indexed

About

Fabio Pareschi is a scholar working on Electrical and Electronic Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Fabio Pareschi has authored 115 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Electrical and Electronic Engineering, 45 papers in Computational Mechanics and 44 papers in Biomedical Engineering. Recurrent topics in Fabio Pareschi's work include Sparse and Compressive Sensing Techniques (45 papers), Analog and Mixed-Signal Circuit Design (33 papers) and Blind Source Separation Techniques (17 papers). Fabio Pareschi is often cited by papers focused on Sparse and Compressive Sensing Techniques (45 papers), Analog and Mixed-Signal Circuit Design (33 papers) and Blind Source Separation Techniques (17 papers). Fabio Pareschi collaborates with scholars based in Italy, United States and Saudi Arabia. Fabio Pareschi's co-authors include Gianluca Setti, Riccardo Rovatti, Mauro Mangia, Valerio Cambareri, Giovanni Frattini, Kwok‐Wo Wong, Leo Yu Zhang, Yushu Zhang, Yuansheng Liu and M. Soma and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Power Electronics and IEEE Transactions on Signal Processing.

In The Last Decade

Fabio Pareschi

103 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Fabio Pareschi 774 530 486 417 271 115 1.6k
Ngai Wong 948 1.2× 209 0.4× 226 0.5× 261 0.6× 213 0.8× 229 1.8k
Majid Ahmadi 1.3k 1.6× 293 0.6× 204 0.4× 330 0.8× 626 2.3× 282 2.2k
István Kollár 900 1.2× 233 0.4× 171 0.4× 386 0.9× 207 0.8× 95 2.0k
P. Agathoklis 372 0.5× 490 0.9× 323 0.7× 144 0.3× 137 0.5× 183 2.0k
Prateek Jain 296 0.4× 636 1.2× 709 1.5× 354 0.8× 420 1.5× 96 1.9k
Hon Keung Kwan 268 0.3× 567 1.1× 595 1.2× 200 0.5× 434 1.6× 241 1.9k
Zahir M. Hussain 632 0.8× 461 0.9× 149 0.3× 235 0.6× 118 0.4× 171 1.5k
Mohammad Eshghi 567 0.7× 377 0.7× 77 0.2× 226 0.5× 534 2.0× 137 1.5k
Bruce W. Suter 373 0.5× 764 1.4× 171 0.4× 162 0.4× 463 1.7× 95 2.0k
Günhan Dündar 1.1k 1.5× 321 0.6× 69 0.1× 385 0.9× 406 1.5× 187 1.9k

Countries citing papers authored by Fabio Pareschi

Since Specialization
Citations

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

Fields of papers citing papers by Fabio Pareschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Pareschi

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