Bruno Iannazzo

1.1k total citations
42 papers, 740 citations indexed

About

Bruno Iannazzo is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics. According to data from OpenAlex, Bruno Iannazzo has authored 42 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 23 papers in Numerical Analysis and 9 papers in Applied Mathematics. Recurrent topics in Bruno Iannazzo's work include Matrix Theory and Algorithms (37 papers), Advanced Optimization Algorithms Research (16 papers) and Numerical methods for differential equations (6 papers). Bruno Iannazzo is often cited by papers focused on Matrix Theory and Algorithms (37 papers), Advanced Optimization Algorithms Research (16 papers) and Numerical methods for differential equations (6 papers). Bruno Iannazzo collaborates with scholars based in Italy, Belgium and Spain. Bruno Iannazzo's co-authors include Dario A. Bini, Beatrice Meini, Federico Poloni, Chun‐Hua Guo, Margherita Porcelli, Fernando De Terán, Guy Latouche, Nicholas J. Higham, Raf Vandebril and Leonardo Robol and has published in prestigious journals such as Linear Algebra and its Applications, SIAM Journal on Matrix Analysis and Applications and BIT Numerical Mathematics.

In The Last Decade

Bruno Iannazzo

34 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Iannazzo Italy 15 511 357 129 128 69 42 740
Jianzhou Liu China 14 578 1.1× 258 0.7× 132 1.0× 119 0.9× 25 0.4× 118 720
Vadim Olshevsky United States 19 770 1.5× 247 0.7× 71 0.6× 207 1.6× 137 2.0× 54 1.1k
Eric King‐wah Chu Australia 15 484 0.9× 376 1.1× 201 1.6× 38 0.3× 96 1.4× 48 794
F. Toutounian Iran 13 336 0.7× 373 1.0× 48 0.4× 82 0.6× 85 1.2× 61 607
Karla Rost Germany 13 548 1.1× 121 0.3× 77 0.6× 211 1.6× 71 1.0× 35 763
Bing Zheng China 18 582 1.1× 324 0.9× 61 0.5× 114 0.9× 250 3.6× 106 978
Huaian Diao China 15 390 0.8× 184 0.5× 50 0.4× 184 1.4× 47 0.7× 68 674
Linzhang Lu China 17 793 1.6× 494 1.4× 115 0.9× 51 0.4× 289 4.2× 98 1.1k
Zhenyun Peng China 13 389 0.8× 271 0.8× 44 0.3× 114 0.9× 37 0.5× 41 521
Carlo Garoni Italy 17 541 1.1× 248 0.7× 41 0.3× 266 2.1× 350 5.1× 52 841

Countries citing papers authored by Bruno Iannazzo

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Iannazzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Iannazzo

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Iannazzo. A scholar is included among the top collaborators of Bruno Iannazzo 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 Bruno Iannazzo. Bruno Iannazzo 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.
Bini, Dario A. & Bruno Iannazzo. (2024). Computational aspects of the geometric mean of two matrices: a survey. Acta Scientiarum Mathematicarum. 90(3-4). 349–389. 2 indexed citations
2.
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.
3.
Bini, Dario A., Bruno Iannazzo, Beatrice Meini, Junmin Meng, & Leonardo Robol. (2022). Computing eigenvalues of semi-infinite quasi-Toeplitz matrices. Numerical Algorithms. 92(1). 89–118. 2 indexed citations
4.
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
5.
Iannazzo, Bruno, et al.. (2018). Computing primary solutions of equations involving primary matrix functions. Linear Algebra and its Applications. 560. 17–42. 2 indexed citations
6.
Iannazzo, Bruno, et al.. (2017). An extended Hamiltonian QR algorithm. CALCOLO. 54(3). 1097–1120.
7.
Iannazzo, Bruno & Margherita Porcelli. (2017). The Riemannian Barzilai–Borwein method with nonmonotone line search and the matrix geometric mean computation. IMA Journal of Numerical Analysis. 38(1). 495–517. 42 indexed citations
8.
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
9.
Iannazzo, Bruno, et al.. (2015). Nonnegative Tensor Grid Decomposition.
10.
Terán, Fernando De & Bruno Iannazzo. (2015). Uniqueness of solution of a generalized ⋆-Sylvester matrix equation. Linear Algebra and its Applications. 493. 323–335. 18 indexed citations
11.
Higham, Nicholas J., et al.. (2015). An Algorithm for the Matrix Lambert $W$ Function. SIAM Journal on Matrix Analysis and Applications. 36(2). 669–685. 15 indexed citations
12.
Iannazzo, Bruno. (2015). The geometric mean of two matrices from a computational viewpoint. Numerical Linear Algebra with Applications. 23(2). 208–229. 25 indexed citations
13.
Iannazzo, Bruno, et al.. (2013). A Schur Logarithmic Algorithm for Fractional Powers of Matrices. SIAM Journal on Matrix Analysis and Applications. 34(2). 794–813. 20 indexed citations
14.
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
15.
Bini, Dario A. & Bruno Iannazzo. (2011). Computing the Karcher mean of symmetric positive definite matrices. Linear Algebra and its Applications. 438(4). 1700–1710. 73 indexed citations
16.
Iannazzo, Bruno & Federico Poloni. (2010). A subspace shift technique for solving close-to-critical nonsymmetric algebraic Riccati equations. arXiv (Cornell University). 2 indexed citations
17.
Iannazzo, Bruno & Beatrice Meini. (2010). Palindromic matrix polynomials, matrix functions and integral representations. Linear Algebra and its Applications. 434(1). 174–184. 14 indexed citations
18.
Bini, Dario A., Bruno Iannazzo, Beatrice Meini, & Federico Poloni. (2008). Nonsymmetric algebraic Riccati equations associated with an M-matrix: recent advances and algorithms. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
19.
Iannazzo, Bruno. (2008). A Family of Rational Iterations and Its Application to the Computation of the Matrix pth Root. SIAM Journal on Matrix Analysis and Applications. 30(4). 1445–1462. 38 indexed citations
20.
Bini, Dario A., Bruno Iannazzo, Guy Latouche, & Beatrice Meini. (2005). On the solution of algebraic Riccati equations arising in fluid queues. Linear Algebra and its Applications. 413(2-3). 474–494. 32 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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