Federico Poloni

710 total citations
46 papers, 397 citations indexed

About

Federico Poloni is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Statistical and Nonlinear Physics. According to data from OpenAlex, Federico Poloni has authored 46 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 23 papers in Numerical Analysis and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Federico Poloni's work include Matrix Theory and Algorithms (30 papers), Numerical methods for differential equations (15 papers) and Advanced Optimization Algorithms Research (9 papers). Federico Poloni is often cited by papers focused on Matrix Theory and Algorithms (30 papers), Numerical methods for differential equations (15 papers) and Advanced Optimization Algorithms Research (9 papers). Federico Poloni collaborates with scholars based in Italy, Germany and France. Federico Poloni's co-authors include Dario A. Bini, Beatrice Meini, Bruno Iannazzo, Giacomo Sbrana, Volker Mehrmann, Giuseppe Antonio Di Luna, Paola Flocchini, Nicola Santoro, Giovanni Viglietta and Vanni Noferini and has published in prestigious journals such as PLoS ONE, Automatica and Mathematics of Computation.

In The Last Decade

Federico Poloni

44 papers receiving 359 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 Poloni Italy 11 232 131 71 69 69 46 397
Zhonggang Zeng United States 11 383 1.7× 156 1.2× 50 0.7× 25 0.4× 9 0.1× 29 477
Pablo Tarazaga United States 13 268 1.2× 122 0.9× 55 0.8× 29 0.4× 31 0.4× 36 429
G. Lotti Italy 9 225 1.0× 68 0.5× 28 0.4× 12 0.2× 42 0.6× 54 392
Zhongyun Liu China 10 213 0.9× 119 0.9× 83 1.2× 35 0.5× 6 0.1× 49 337
Olga Holtz United States 13 264 1.1× 62 0.5× 43 0.6× 33 0.5× 225 3.3× 30 577
Tien-Yien Li United States 8 152 0.7× 54 0.4× 58 0.8× 234 3.4× 69 1.0× 8 520
Yuly Makovoz United States 5 83 0.4× 170 1.3× 181 2.5× 70 1.0× 23 0.3× 6 558
R. B. Bapat India 8 229 1.0× 44 0.3× 31 0.4× 45 0.7× 42 0.6× 19 395
Naomi Shaked-Monderer Israel 10 372 1.6× 229 1.7× 19 0.3× 52 0.8× 28 0.4× 30 572
Chuanqing Gu China 12 275 1.2× 163 1.2× 36 0.5× 59 0.9× 16 0.2× 37 346

Countries citing papers authored by Federico Poloni

Since Specialization
Citations

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

Fields of papers citing papers by Federico Poloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Poloni

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Poloni. A scholar is included among the top collaborators of Federico Poloni 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 Poloni. Federico Poloni 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.
Iannazzo, Bruno, Beatrice Meini, & Federico Poloni. (2024). Deflating subspaces of T -palindromic pencils and algebraic T -Riccati equations. Linear and Multilinear Algebra. 73(9). 2060–2088.
2.
Galatolo, Stefano, et al.. (2023). A general framework for the rigorous computation of invariant densities and the coarse-fine strategy. Chaos Solitons & Fractals. 170. 113329–113329. 4 indexed citations
3.
Poloni, Federico, et al.. (2023). On the effectiveness of random walks for modeling epidemics on networks. PLoS ONE. 18(1). e0280277–e0280277. 4 indexed citations
4.
Bini, Dario A., et al.. (2023). An Edge Centrality Measure Based on the Kemeny Constant. SIAM Journal on Matrix Analysis and Applications. 44(2). 648–669. 8 indexed citations
5.
Gemignani, Luca & Federico Poloni. (2022). Comparison theorems for splittings of M-matrices in (block) Hessenberg form. CINECA IRIS Institutial research information system (University of Pisa). 2 indexed citations
6.
Poloni, Federico. (2020). Iterative and doubling algorithms for Riccati-type matrix equations: A comparative introduction. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations
7.
Terán, Fernando De, Bruno Iannazzo, Federico Poloni, & Leonardo Robol. (2019). Nonsingular systems of generalized Sylvester equations: An algorithmic approach. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 6 indexed citations
8.
Jarlebring, Elias & Federico Poloni. (2018). Iterative methods for the delay Lyapunov equation with T-Sylvester preconditioning. Applied Numerical Mathematics. 135. 173–185. 10 indexed citations
9.
Terán, Fernando De, Bruno Iannazzo, Federico Poloni, & Leonardo Robol. (2017). Solvability and uniqueness criteria for generalized Sylvester-type equations. Linear Algebra and its Applications. 542. 501–521. 10 indexed citations
10.
Poloni, Federico & Giacomo Sbrana. (2016). MULTIVARIATE TREND–CYCLE EXTRACTION WITH THE HODRICK–PRESCOTT FILTER. CINECA IRIS Institutial research information system (University of Pisa). 6 indexed citations
11.
Luna, Giuseppe Antonio Di, Paola Flocchini, Sruti Gan Chaudhuri, et al.. (2016). Mutual visibility by luminous robots without collisions. Information and Computation. 254. 392–418. 42 indexed citations
12.
Poloni, Federico, et al.. (2015). Methods for verified stabilizing solutions to continuous-time algebraic Riccati equations. arXiv (Cornell University). 10 indexed citations
13.
Noferini, Vanni & Federico Poloni. (2015). Duality of matrix pencils, Wong chains and linearizations. Linear Algebra and its Applications. 471. 730–767. 10 indexed citations
14.
Luna, Giuseppe Antonio Di, Paola Flocchini, Federico Poloni, Nicola Santoro, & Giovanni Viglietta. (2014). The Mutual Visibility Problem for Oblivious Robots. CINECA IRIS Institutial research information system (University of Pisa). 348–354. 15 indexed citations
15.
Poloni, Federico. (2013). An algorithm for solving systems of quadratic equations in branching processes. CINECA IRIS Institutial research information system (University of Pisa). 6(2). 481–486.
16.
Mehrmann, Volker & Federico Poloni. (2013). Using permuted graph bases in control. Automatica. 49(6). 1790–1797. 2 indexed citations
17.
Poloni, Federico. (2011). Quadratic vector equations. Linear Algebra and its Applications. 438(4). 1627–1644. 8 indexed citations
18.
Iannazzo, Bruno, et al.. (2011). The Padé iterations for the matrix sign function and their reciprocals are optimal. Linear Algebra and its Applications. 436(3). 472–477. 12 indexed citations
19.
Iannazzo, Bruno & Federico Poloni. (2010). A subspace shift technique for solving close-to-critical nonsymmetric algebraic Riccati equations. arXiv (Cornell University). 2 indexed citations
20.
Bini, Dario A., Beatrice Meini, & Federico Poloni. (2009). Fast solution of a certain Riccati equation through Cauchy-like matrices. ETNA - Electronic Transactions on Numerical Analysis. 33. 84–104. 10 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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