Umberto Soverini

1.2k total citations
63 papers, 942 citations indexed

About

Umberto Soverini is a scholar working on Control and Systems Engineering, Signal Processing and Civil and Structural Engineering. According to data from OpenAlex, Umberto Soverini has authored 63 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Control and Systems Engineering, 19 papers in Signal Processing and 18 papers in Civil and Structural Engineering. Recurrent topics in Umberto Soverini's work include Control Systems and Identification (48 papers), Fault Detection and Control Systems (25 papers) and Structural Health Monitoring Techniques (18 papers). Umberto Soverini is often cited by papers focused on Control Systems and Identification (48 papers), Fault Detection and Control Systems (25 papers) and Structural Health Monitoring Techniques (18 papers). Umberto Soverini collaborates with scholars based in Italy, Sweden and Belgium. Umberto Soverini's co-authors include Roberto Guidorzi, Roberto Diversi, Torsten Söderström, S. Beghelli, Kaushik Mahata, Paolo Castaldi, Éric Grivel, R. James Brown, Paola Fantazzini and G.C. Borgia and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

Umberto Soverini

60 papers receiving 901 citations

Peers

Umberto Soverini

CSE

S.Y. Fakhouri United Kingdom

Mamadou Mboup France

Tomás Oliveira e Silva Portugal

E. Fogel United States

Li Xie China

Seiichi Nakamori Japan

W. Kozek Austria

Ya Gu China

L.F. Chaparro United States

R.G. Shenoy United States

S.Y. Fakhouri United Kingdom

Umberto Soverini

813 ×1.1

CSE

244 ×0.9

CSE

31 ×0.2

71 ×0.4

145 ×0.9

Citations per year, relative to Umberto Soverini Umberto Soverini (= 1×) peers S.Y. Fakhouri

Countries citing papers authored by Umberto Soverini

Since Specialization

Citations

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

Fields of papers citing papers by Umberto Soverini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Soverini

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Soverini. A scholar is included among the top collaborators of Umberto Soverini 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 Umberto Soverini. Umberto Soverini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Söderström, Torsten & Umberto Soverini. (2023). Aspects on errors-in-variables identification: Some ways to mitigate a large bias. IFAC-PapersOnLine. 56(2). 4019–4024.

Söderström, Torsten & Umberto Soverini. (2021). When are errors-in-variables aspects particularly important to consider in system identification?. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

Soverini, Umberto & Torsten Söderström. (2018). 2D-frequency domain identification of complex sinusoids in the presence of additive noise. IFAC-PapersOnLine. 51(15). 820–825. 2 indexed citations

Soverini, Umberto & Torsten Söderström. (2017). Frequency domain identification of ARX models in the presence of additive input–output noise. IFAC-PapersOnLine. 50(1). 6226–6231. 3 indexed citations

Soverini, Umberto & Torsten Söderström. (2017). Frequency domain identification of complex sinusoids in the presence of additive noise. IFAC-PapersOnLine. 50(1). 6244–6250. 1 indexed citations

Diversi, Roberto & Umberto Soverini. (2015). Identification of errors-in-variables models with colored output noise. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1784–1789. 2 indexed citations

Soverini, Umberto & Torsten Söderström. (2014). Frequency domain maximum likelihood identification of noisy input–output models. IFAC Proceedings Volumes. 47(3). 4625–4630. 10 indexed citations

Söderström, Torsten, Roberto Diversi, & Umberto Soverini. (2014). A unified framework for EIV identification methods when the measurement noises are mutually correlated. Automatica. 50(12). 3216–3223. 12 indexed citations

Diversi, Roberto & Umberto Soverini. (2013). Identification of errors-in-variables models as a quadratic eigenvalue problem. 1896–1901. 8 indexed citations

10.

Guidorzi, Roberto, Roberto Diversi, & Umberto Soverini. (2008). The Frisch scheme in algebraic and dynamic identification problems. Kybernetika. 44. 585–616. 47 indexed citations

11.

Diversi, Roberto, Roberto Guidorzi, & Umberto Soverini. (2007). Maximum likelihood identification of noisy input–output models. Automatica. 43(3). 464–472. 41 indexed citations

12.

Diversi, Roberto, Roberto Guidorzi, & Umberto Soverini. (2006). Yule-Walker equations in the Frisch scheme solution of errors-in-variables identification problems. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 391–395. 27 indexed citations

13.

Diversi, Roberto, Umberto Soverini, & Roberto Guidorzi. (2005). A NEW ESTIMATION APPROACH FOR AR MODELS IN PRESENCE OF NOISE. IFAC Proceedings Volumes. 38(1). 160–165. 14 indexed citations

14.

Diversi, Roberto, Roberto Guidorzi, & Umberto Soverini. (2004). Frisch scheme-based algorithms for EIV identification. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 15 indexed citations

15.

Diversi, Roberto, Roberto Guidorzi, & Umberto Soverini. (2002). Algorithms for optimal errors-in-variables filtering. Systems & Control Letters. 48(1). 1–13. 13 indexed citations

16.

Soverini, Umberto & S. Beghelli. (2001). Identification of static errors-in-variables models: the rank reducibility problem. Automatica. 37(7). 1079–1084. 5 indexed citations

17.

Beghelli, S., Paolo Castaldi, & Umberto Soverini. (1997). A frequential approach for errors-in-variables models. 1014–1018. 14 indexed citations

18.

Borgia, G.C., et al.. (1994). A comparison among different inversion methods for multi-exponential NMR relaxation data. Magnetic Resonance Imaging. 12(2). 209–212. 16 indexed citations

19.

Beghelli, S., Paolo Castaldi, Roberto Guidorzi, & Umberto Soverini. (1994). The Frisch Identification Scheme: Properties of the Solution in the Dynamic Case. IFAC Proceedings Volumes. 27(8). 889–893. 1 indexed citations

20.

Beghelli, S., Roberto Guidorzi, & Umberto Soverini. (1991). Assumption evaluation in approximate modelling. Kybernetika. 27(5). 426–435.

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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