Federico Ramponi

857 total citations
25 papers, 490 citations indexed

About

Federico Ramponi is a scholar working on Control and Systems Engineering, Management Science and Operations Research and Computational Theory and Mathematics. According to data from OpenAlex, Federico Ramponi has authored 25 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Control and Systems Engineering, 9 papers in Management Science and Operations Research and 8 papers in Computational Theory and Mathematics. Recurrent topics in Federico Ramponi's work include Control Systems and Identification (7 papers), Advanced Control Systems Optimization (6 papers) and Stability and Control of Uncertain Systems (5 papers). Federico Ramponi is often cited by papers focused on Control Systems and Identification (7 papers), Advanced Control Systems Optimization (6 papers) and Stability and Control of Uncertain Systems (5 papers). Federico Ramponi collaborates with scholars based in Italy, Switzerland and India. Federico Ramponi's co-authors include Marco C. Campi, Augusto Ferrante, Simone Garatti, Michele Pavon, John Lygeros, Peter Hokayem, Debasish Chatterjee, Eugenio Cinquemani, Algo Carè and Francesco Ticozzi and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and European Journal of Operational Research.

In The Last Decade

Federico Ramponi

23 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Ramponi Italy 13 282 84 76 66 65 25 490
Ewaryst Rafajłowicz Poland 15 208 0.7× 62 0.7× 96 1.3× 72 1.1× 112 1.7× 78 617
S. Puthenpura Canada 10 153 0.5× 46 0.5× 70 0.9× 69 1.0× 84 1.3× 25 440
D.C. Chin United States 12 282 1.0× 157 1.9× 109 1.4× 103 1.6× 43 0.7× 30 532
J.L. Maryak United States 11 98 0.3× 67 0.8× 134 1.8× 63 1.0× 47 0.7× 24 350
László Gerencsér Hungary 14 321 1.1× 188 2.2× 137 1.8× 59 0.9× 109 1.7× 87 688
Karl Heinz Kienitz Brazil 12 261 0.9× 62 0.7× 74 1.0× 50 0.8× 15 0.2× 86 555
Abdelkader Mokkadem France 12 87 0.3× 66 0.8× 203 2.7× 23 0.3× 39 0.6× 37 554
Koichi Inoue Japan 14 220 0.8× 69 0.8× 95 1.3× 78 1.2× 242 3.7× 91 813
S.S. Keerthi Singapore 8 279 1.0× 20 0.2× 83 1.1× 49 0.7× 16 0.2× 12 527
Wenjie Wang China 10 52 0.2× 88 1.0× 59 0.8× 137 2.1× 53 0.8× 42 318

Countries citing papers authored by Federico Ramponi

Since Specialization
Citations

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

Fields of papers citing papers by Federico Ramponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Ramponi

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Ramponi. A scholar is included among the top collaborators of Federico Ramponi 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 Federico Ramponi. Federico Ramponi 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.
Campi, Marco C., et al.. (2021). A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection. Journal of Systems Science and Complexity. 34(5). 1879–1894. 6 indexed citations
2.
Carè, Algo, et al.. (2020). Novel Bounds on the Probability of Misclassification in Majority Voting: Leveraging the Majority Size. IEEE Control Systems Letters. 5(5). 1513–1518. 1 indexed citations
3.
Carè, Algo, et al.. (2020). A study on majority-voting classifiers with guarantees on the probability of error. IFAC-PapersOnLine. 53(2). 1013–1018. 3 indexed citations
4.
Carè, Algo, et al.. (2019). Consensus and Reliability: The Case of Two Binary Classifiers. IFAC-PapersOnLine. 52(20). 73–78. 2 indexed citations
5.
Ramponi, Federico & Marco C. Campi. (2017). Expected shortfall: Heuristics and certificates. European Journal of Operational Research. 267(3). 1003–1013. 13 indexed citations
6.
Campi, Marco C., Simone Garatti, & Federico Ramponi. (2015). Non-convex scenario optimization with application to system identification. 4023–4028. 14 indexed citations
7.
Ramponi, Federico, et al.. (2015). Lecture Notes on Linear System Theory. 3 indexed citations
8.
Chatterjee, Debasish, et al.. (2013). On mean-square boundedness of stochastic linear systems with quantized observations. Institutional Research Information System (Università degli Studi di Brescia).
9.
Wiltsche, Clemens, John Lygeros, & Federico Ramponi. (2013). Synthesis of an asynchronous communication protocol for search and rescue robots. 1256–1261. 9 indexed citations
10.
Chatterjee, Debasish, Federico Ramponi, Peter Hokayem, & John Lygeros. (2012). On mean square boundedness of stochastic linear systems with bounded controls. Systems & Control Letters. 61(2). 375–380. 25 indexed citations
11.
Hokayem, Peter, Debasish Chatterjee, Federico Ramponi, & John Lygeros. (2012). Stable Networked Control Systems With Bounded Control Authority. IEEE Transactions on Automatic Control. 57(12). 3153–3157. 3 indexed citations
12.
Hokayem, Peter, Eugenio Cinquemani, Debasish Chatterjee, Federico Ramponi, & John Lygeros. (2011). Stochastic receding horizon control with output feedback and bounded controls. Automatica. 48(1). 77–88. 85 indexed citations
13.
Hokayem, Peter, Eugenio Cinquemani, Debasish Chatterjee, Federico Ramponi, & John Lygeros. (2010). Stochastic receding horizon control with output feedback and bounded control inputs. arXiv (Cornell University). 1. 6095–6100. 17 indexed citations
14.
Ramponi, Federico, Augusto Ferrante, & Michele Pavon. (2010). On the well-posedness of multivariate spectrum approximation and convergence of high-resolution spectral estimators. Systems & Control Letters. 59(3-4). 167–172. 8 indexed citations
15.
Ramponi, Federico, Debasish Chatterjee, Andreas Milias‐Argeitis, Peter Hokayem, & John Lygeros. (2010). Attaining Mean Square Boundedness of a Marginally Stable Stochastic Linear System With a Bounded Control Input. IEEE Transactions on Automatic Control. 55(10). 2414–2418. 23 indexed citations
16.
Ferrante, Augusto, Federico Ramponi, & Francesco Ticozzi. (2010). On the Convergence of an Efficient Algorithm for Kullback–Leibler Approximation of Spectral Densities. IEEE Transactions on Automatic Control. 56(3). 506–515. 17 indexed citations
17.
Hokayem, Peter, et al.. (2010). Stable stochastic receding horizon control of linear systems with bounded control inputs. 13 indexed citations
18.
Ramponi, Federico, Augusto Ferrante, & Michele Pavon. (2009). A Globally Convergent Matricial Algorithm for Multivariate Spectral Estimation. IEEE Transactions on Automatic Control. 54(10). 2376–2388. 40 indexed citations
19.
Ferrante, Augusto, Michele Pavon, & Federico Ramponi. (2008). Hellinger Versus Kullback–Leibler Multivariable Spectrum Approximation. IEEE Transactions on Automatic Control. 53(4). 954–967. 65 indexed citations
20.
Ferrante, Augusto, Michele Pavon, & Federico Ramponi. (2007). Constrained spectrum approximation in the Hellinger distance. 322–327. 2 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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