Marcello Sanguineti

2.5k total citations
113 papers, 1.4k citations indexed

About

Marcello Sanguineti is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marcello Sanguineti has authored 113 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Control and Systems Engineering, 47 papers in Artificial Intelligence and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marcello Sanguineti's work include Neural Networks and Applications (40 papers), Control Systems and Identification (31 papers) and Image and Signal Denoising Methods (13 papers). Marcello Sanguineti is often cited by papers focused on Neural Networks and Applications (40 papers), Control Systems and Identification (31 papers) and Image and Signal Denoising Methods (13 papers). Marcello Sanguineti collaborates with scholars based in Italy, Czechia and United States. Marcello Sanguineti's co-authors include Věra Kůrková, Giorgio Gnecco, R. Zoppoli, Thomas Parisini, A. Alessandri, Paul C. Kainen, Giorgio Roth, Angela Celeste Taramasso, Cristiano Cervellera and Mauro Gaggero and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Journal of Hydrology.

In The Last Decade

Marcello Sanguineti

109 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Sanguineti Italy 21 507 409 217 186 140 113 1.4k
Eiji Mizutani Taiwan 10 727 1.4× 311 0.8× 179 0.8× 91 0.5× 33 0.2× 48 1.6k
Kanjian Zhang China 27 801 1.6× 878 2.1× 203 0.9× 191 1.0× 36 0.3× 215 2.6k
Pınar Çivicioğlu Türkiye 18 1.1k 2.3× 397 1.0× 423 1.9× 573 3.1× 67 0.5× 31 2.5k
Li United States 16 141 0.3× 539 1.3× 89 0.4× 141 0.8× 158 1.1× 334 1.4k
Alireza Nazemi Iran 22 508 1.0× 481 1.2× 55 0.3× 218 1.2× 118 0.8× 108 1.4k
Xinhua Yang China 15 397 0.8× 757 1.9× 155 0.7× 191 1.0× 71 0.5× 108 2.1k
Phil Howlett Australia 24 81 0.2× 277 0.7× 75 0.3× 157 0.8× 86 0.6× 112 3.2k
Honglei Xu Australia 23 172 0.3× 637 1.6× 57 0.3× 188 1.0× 61 0.4× 94 1.4k
Erkan Beşdok Türkiye 19 630 1.2× 193 0.5× 468 2.2× 246 1.3× 69 0.5× 55 1.6k
Hadi Sadoghi Yazdi Iran 22 885 1.7× 212 0.5× 489 2.3× 71 0.4× 175 1.3× 184 2.0k

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-authorship network of co-authors of Marcello Sanguineti

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Sanguineti. A scholar is included among the top collaborators of Marcello Sanguineti 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 Marcello Sanguineti. Marcello Sanguineti 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.
Clayton, Martin, Mauro Passacantando, & Marcello Sanguineti. (2024). Intelligent Technologies for Interactive Entertainment. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
2.
Alessandri, A., Mauro Gaggero, & Marcello Sanguineti. (2023). Data‐driven performance metrics for neural network learning. International Journal of Adaptive Control and Signal Processing. 39(10). 2081–2092. 1 indexed citations
3.
Gnecco, Giorgio, Yuval Hadas, & Marcello Sanguineti. (2022). A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features. EURO Journal on Transportation and Logistics. 11. 100090–100090. 1 indexed citations
4.
Passacantando, Mauro, Giorgio Gnecco, Yuval Hadas, & Marcello Sanguineti. (2021). Braess' paradox: A cooperative game‐theoretic point of view. Networks. 78(3). 264–283. 5 indexed citations
5.
Gnecco, Giorgio, Yuval Hadas, & Marcello Sanguineti. (2020). Public transport transfers assessment via transferable utility games and Shapley value approximation. Transportmetrica A Transport Science. 17(4). 540–565. 11 indexed citations
6.
Gnecco, Giorgio, Yuval Hadas, & Marcello Sanguineti. (2019). Some properties of transportation network cooperative games. Networks. 74(2). 161–173. 6 indexed citations
7.
Boero, Luca, Marco Cello, Giorgio Gnecco, et al.. (2017). A theoretical analysis of buffer occupancy for Intermittently-Connected Networks. Performance Evaluation. 115. 108–131. 8 indexed citations
8.
Kůrková, Věra & Marcello Sanguineti. (2017). Probabilistic lower bounds for approximation by shallow perceptron networks. Neural Networks. 91. 34–41. 17 indexed citations
9.
Gnecco, Giorgio, Marco Gori, Stefano Melacci, & Marcello Sanguineti. (2016). Learning with hard constraints as a limit case of learning with soft constraints. CINECA IRIS Institutial Research Information System (University of Genoa). 35–40.
10.
Cello, Marco, Giorgio Gnecco, Mario Marchese, & Marcello Sanguineti. (2011). A Generalized Stochastic Knapsack Problem with Application in Call Admission Control. CINECA IRIS Institutial Research Information System (University of Genoa). 28(6). 105–108. 2 indexed citations
11.
Marchese, Mario, Marco Cello, Giorgio Gnecco, & Marcello Sanguineti. (2011). Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions. CINECA IRIS Institutial Research Information System (University of Genoa). 466–470. 6 indexed citations
12.
Gnecco, Giorgio, et al.. (2011). Can dictionary-based computational models outperform the best linear ones?. Neural Networks. 24(8). 881–887. 7 indexed citations
13.
Cello, Marco, Giorgio Gnecco, Mario Marchese, & Marcello Sanguineti. (2010). On call admission control with nonlinearly constrained feasibility regions. CINECA IRIS Institutial Research Information System (University of Genoa). 1 indexed citations
14.
Gnecco, Giorgio, Věra Kůrková, & Marcello Sanguineti. (2010). Some comparisons of complexity in dictionary-based and linear computational models. Neural Networks. 24(2). 171–182. 14 indexed citations
15.
Gnecco, Giorgio & Marcello Sanguineti. (2009). Weight-decay regularization in reproducing Kernel Hilbert spaces by variable-basis schemes. WSEAS Transactions on Mathematics archive. 8(11). 625–634. 1 indexed citations
16.
Baglietto, Marco, Marcello Sanguineti, & R. Zoppoli. (2008). The extended Ritz method for functional optimization: overview and applications to single-person and team optimal decision problems. Optimization methods & software. 24(1). 15–43. 4 indexed citations
17.
Kainen, Paul C., Věra Kůrková, & Marcello Sanguineti. (2008). Complexity of Gaussian-radial-basis networks approximating smooth functions. Journal of Complexity. 25(1). 63–74. 33 indexed citations
18.
Sanguineti, Marcello, et al.. (2007). Estimates of covering numbers of convex sets with slowly decaying orthogonal subsets. Discrete Applied Mathematics. 155(15). 1930–1942. 9 indexed citations
19.
Alessandri, A., Cristiano Cervellera, & Marcello Sanguineti. (2007). Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. IEEE Transactions on Neural Networks. 18(1). 86–96. 29 indexed citations
20.
Kůrková, Věra & Marcello Sanguineti. (2005). Learning with generalization capability by kernel methods of bounded complexity. Journal of Complexity. 21(3). 350–367. 28 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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