Francesco Dinuzzo

1.7k total citations · 1 hit paper
24 papers, 1.1k citations indexed

About

Francesco Dinuzzo is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Francesco Dinuzzo has authored 24 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Computational Mechanics. Recurrent topics in Francesco Dinuzzo's work include Sparse and Compressive Sensing Techniques (7 papers), Adaptive Control of Nonlinear Systems (4 papers) and Face and Expression Recognition (4 papers). Francesco Dinuzzo is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Adaptive Control of Nonlinear Systems (4 papers) and Face and Expression Recognition (4 papers). Francesco Dinuzzo collaborates with scholars based in Germany, Italy and Sweden. Francesco Dinuzzo's co-authors include Gianluigi Pillonetto, Giuseppe De Nicolao, Lennart Ljung, Tianshi Chen, Antonella Ferrara, Bernhard Schölkopf, Indrajit Bhattacharya, Roy Bar-Haim, Amrita Saha and Noam Slonim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Francesco Dinuzzo

24 papers receiving 1.1k citations

Hit Papers

Kernel methods in system identification, machine learning... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Kernel methods in system identification, machine learning and function estimation: A survey
    2014 494 citations Gianluigi Pillonetto, Francesco Dinuzzo et al. Automatica profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Dinuzzo Germany 13 626 381 178 124 107 24 1.1k
Pierre-Yves Glorennec France 6 1.2k 1.9× 578 1.5× 153 0.9× 127 1.0× 97 0.9× 7 1.6k
Hélène Piet-Lahanier France 19 1.4k 2.2× 293 0.8× 131 0.7× 71 0.6× 124 1.2× 104 1.9k
Jian-Xun Peng United Kingdom 12 385 0.6× 317 0.8× 59 0.3× 82 0.7× 107 1.0× 23 709
Maria V. Kulikova Portugal 20 540 0.9× 928 2.4× 88 0.5× 90 0.7× 39 0.4× 99 1.3k
V. Cerone Italy 19 1.1k 1.7× 107 0.3× 190 1.1× 90 0.7× 58 0.5× 103 1.4k
Roberto Diversi Italy 15 480 0.8× 108 0.3× 202 1.1× 88 0.7× 40 0.4× 80 749
Włodzimierz Greblicki Poland 21 1.3k 2.1× 424 1.1× 284 1.6× 40 0.3× 164 1.5× 50 1.6k
Yanjun Liu China 16 1.1k 1.8× 254 0.7× 302 1.7× 58 0.5× 38 0.4× 47 1.4k
Soumalya Sarkar United States 17 229 0.4× 216 0.6× 67 0.4× 99 0.8× 52 0.5× 47 828

Countries citing papers authored by Francesco Dinuzzo

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Dinuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Dinuzzo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Dinuzzo. A scholar is included among the top collaborators of Francesco Dinuzzo 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 Francesco Dinuzzo. Francesco Dinuzzo 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.
Bar-Haim, Roy, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, & Noam Slonim. (2017). Stance Classification of Context-Dependent Claims. 251–261. 80 indexed citations
2.
Dinuzzo, Francesco, et al.. (2016). Electricity Demand Forecasting by Multi-Task Learning. IEEE Transactions on Smart Grid. 9(2). 544–551. 76 indexed citations
3.
Dinuzzo, Francesco. (2015). Kernels for Linear Time Invariant System Identification. SIAM Journal on Control and Optimization. 53(5). 3299–3317. 56 indexed citations
4.
Argyriou, Andreas A. & Francesco Dinuzzo. (2014). A Unifying View of Representer Theorems. MPG.PuRe (Max Planck Society). 748–756. 11 indexed citations
5.
Pillonetto, Gianluigi, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, & Lennart Ljung. (2014). Kernel methods in system identification, machine learning and function estimation: A survey. Automatica. 50(3). 657–682. 494 indexed citations breakdown →
6.
Varagnolo, Damiano, Simone Del Favero, Francesco Dinuzzo, Luca Schenato, & Gianluigi Pillonetto. (2013). Finding Potential Support Vectors in Separable Classification Problems. IEEE Transactions on Neural Networks and Learning Systems. 24(11). 1799–1813. 1 indexed citations
7.
Dinuzzo, Francesco, et al.. (2013). Correlation matrix nearness and completion under observation uncertainty. IMA Journal of Numerical Analysis. 35(1). 325–340. 3 indexed citations
8.
Dinuzzo, Francesco & Bernhard Schölkopf. (2012). The representer theorem for Hilbert spaces: a necessary and sufficient condition. arXiv (Cornell University). 25. 189–196. 35 indexed citations
9.
Muandet, Krikamol, Kenji Fukumizu, Francesco Dinuzzo, & Bernhard Schölkopf. (2012). Learning from Distributions via Support Measure Machines. arXiv (Cornell University). 25. 10–18. 46 indexed citations
10.
Dinuzzo, Francesco & Kenji Fukumizu. (2011). Learning low-rank output kernels. Max Planck Digital Library. 20. 181–196. 5 indexed citations
11.
Dinuzzo, Francesco, Cheng Soon Ong, Gianluigi Pillonetto, & Peter Gehler. (2011). Learning Output Kernels with Block Coordinate Descent. Max Planck Institute for Plasma Physics. 49–56. 38 indexed citations
12.
Dinuzzo, Francesco. (2011). Learning functions with kernel methods. MPG.PuRe (Max Planck Society). 1 indexed citations
13.
Dinuzzo, Francesco, Gianluigi Pillonetto, & Giuseppe De Nicolao. (2011). Client–Server Multitask Learning From Distributed Datasets. IEEE Transactions on Neural Networks. 22(2). 290–303. 21 indexed citations
14.
Favero, Simone Del, Damiano Varagnolo, Francesco Dinuzzo, Luca Schenato, & Gianluigi Pillonetto. (2011). On the discardability of data in support vector classification problems. Research Padua Archive (University of Padua). 5. 3210–3215. 3 indexed citations
15.
Dinuzzo, Francesco & Antonella Ferrara. (2009). Finite-time output stabilization with second order sliding modes. Automatica. 45(9). 2169–2171. 11 indexed citations
16.
Dinuzzo, Francesco & Giuseppe De Nicolao. (2009). An algebraic characterization of the optimum of regularized kernel methods. Machine Learning. 74(3). 315–345. 5 indexed citations
17.
Dinuzzo, Francesco & Antonella Ferrara. (2009). Higher Order Sliding Mode Controllers With Optimal Reaching. IEEE Transactions on Automatic Control. 54(9). 2126–2136. 109 indexed citations
18.
Basin, Michael, Dario Calderon‐Alvarez, Antonella Ferrara, & Francesco Dinuzzo. (2009). Sliding mode optimal regulator for a bolza-meyer criterion with non-quadratic state energy terms. 4951–4955. 13 indexed citations
19.
Pillonetto, Gianluigi, Francesco Dinuzzo, & Giuseppe De Nicolao. (2008). Bayesian Online Multitask Learning of Gaussian Processes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(2). 193–205. 39 indexed citations
20.
Dinuzzo, Francesco, et al.. (2007). On the Representer Theorem and Equivalent Degrees of Freedom of SVR. Journal of Machine Learning Research. 8(82). 2467–2495. 16 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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