Marcello Sanguineti

2.5k citations
113 papers · 1.4k · h-index 21

Impact in

Papers in

Marcello Sanguineti

109 papers receiving 1.4k citations

Peers

Marcello Sanguineti
Comparison fields: 5 of 111
  • Numerical Analysis 118
  • Control and Systems Engineering 409
  • Artificial Intelligence 507
  • Computational Theory and Mathematics 186
  • Modeling and Simulation 51
Replace Kanjian Zhang with:
Kanjian Zhang China
Erwie Zahara Taiwan
Xinhua Yang China
Pınar Çivicioğlu Türkiye
R. Zoppoli Italy
Chunguo Wu China
Li United States
Dexian Huang China
Krzysztof Socha Belgium
Asanga Ratnaweera Sri Lanka
Marcello Sanguineti relative to Kanjian Zhang China Kanjian Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marcello Sanguineti

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Sanguineti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcello Sanguineti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcello Sanguineti Line = papers co-authored together Marcello Sanguineti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012115
2 200298
3 200294
4 200165
5 199864
6 200545
7 200833
8 201231
9 200931
10 200729
11 200528
12 200827
13 201826
14 200824
15 201923
16 200721
17
Approximation Error Bounds via Rademacher's Complexity
200821
18 201220
19 200820
20 201020

About Marcello Sanguineti

Marcello Sanguineti is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Computational Theory and Mathematics, having authored 113 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (40 papers), Control Systems and Identification (31 papers), Image and Signal Denoising Methods (13 papers), Advanced Control Systems Optimization (12 papers), Fault Detection and Control Systems (12 papers), Probabilistic and Robust Engineering Design (7 papers), Sparse and Compressive Sensing Techniques (7 papers) and Reservoir Engineering and Simulation Methods (6 papers). The work is most often cited by research in Numerical Analysis (118 citations), Control and Systems Engineering (409 citations), Artificial Intelligence (507 citations), Computational Theory and Mathematics (186 citations) and Modeling and Simulation (51 citations). Marcello Sanguineti has collaborated with scholars based in Italy, Czechia and United States. Frequent co-authors include Věra Kůrková, Giorgio Gnecco, R. Zoppoli, Thomas Parisini, A. Alessandri, Paul C. Kainen, Angela Celeste Taramasso, Giorgio Roth, Cristiano Cervellera and Mauro Gaggero. Their work appears in journals such as Journal of Optimization Theory and Applications, IEEE Transactions on Information Theory, Computational Optimization and Applications, Neural Networks and Optimization Letters.

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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