Leonardo Robol

805 total citations
46 papers, 419 citations indexed

About

Leonardo Robol is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mathematics. According to data from OpenAlex, Leonardo Robol has authored 46 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computational Theory and Mathematics, 16 papers in Numerical Analysis and 8 papers in Computational Mathematics. Recurrent topics in Leonardo Robol's work include Matrix Theory and Algorithms (29 papers), Advanced Optimization Algorithms Research (9 papers) and Tensor decomposition and applications (8 papers). Leonardo Robol is often cited by papers focused on Matrix Theory and Algorithms (29 papers), Advanced Optimization Algorithms Research (9 papers) and Tensor decomposition and applications (8 papers). Leonardo Robol collaborates with scholars based in Italy, Switzerland and Belgium. Leonardo Robol's co-authors include Dario A. Bini, Maria Girardi, Daniele Pellegrini, Cristina Padovani, Daniel Kreßner, Raf Vandebril, Margherita Porcelli, David S. Watkins, Fernando De Terán and Paul Van Dooren and has published in prestigious journals such as IEEE Access, Mathematics of Computation and Mechanical Systems and Signal Processing.

In The Last Decade

Leonardo Robol

44 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Robol Italy 12 193 104 86 61 59 46 419
Ninoslav Truhar Croatia 11 252 1.3× 44 0.4× 176 2.0× 178 2.9× 59 1.0× 39 422
Yueh‐Cheng Kuo Taiwan 13 393 2.0× 120 1.2× 95 1.1× 84 1.4× 88 1.5× 50 702
Heike Faßbender Germany 13 296 1.5× 22 0.2× 181 2.1× 139 2.3× 82 1.4× 57 485
Eric King‐wah Chu Australia 15 484 2.5× 67 0.6× 376 4.4× 201 3.3× 54 0.9× 48 794
Srikara Pranesh United Kingdom 9 145 0.8× 36 0.3× 23 0.3× 28 0.5× 27 0.5× 13 251
A. Bouhamidi France 11 153 0.8× 19 0.2× 91 1.1× 57 0.9× 41 0.7× 35 373
Abdellah Chkifa France 6 112 0.6× 39 0.4× 94 1.1× 89 1.5× 15 0.3× 16 400
John Maroulas Greece 10 204 1.1× 28 0.3× 89 1.0× 54 0.9× 39 0.7× 44 419
Michael Peters Switzerland 10 88 0.5× 29 0.3× 56 0.7× 15 0.2× 92 1.6× 19 326
David Day United States 11 298 1.5× 29 0.3× 166 1.9× 62 1.0× 152 2.6× 31 567

Countries citing papers authored by Leonardo Robol

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Robol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Robol

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Robol. A scholar is included among the top collaborators of Leonardo Robol 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 Leonardo Robol. Leonardo Robol 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.
Robol, Leonardo, et al.. (2024). An Efficient Block Rational Krylov Solver for Sylvester Equations with Adaptive Pole Selection. SIAM Journal on Scientific Computing. 46(2). A798–A824. 2 indexed citations
2.
Robol, Leonardo, et al.. (2022). Implicit Reward Structures for Implicit Reliability Models. IEEE Transactions on Reliability. 72(2). 774–794. 1 indexed citations
3.
Robol, Leonardo, et al.. (2021). Rank-structured qr for chebyshev rootfinding. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
4.
Robol, Leonardo, et al.. (2021). Sampling the eigenvalues of random orthogonal and unitary matrices. CINECA IRIS Institutial research information system (University of Pisa). 3 indexed citations
5.
Robol, Leonardo. (2020). Rational Krylov and ADI iteration for infinite size quasi-Toeplitz matrix equations. CINECA IRIS Institutial research information system (University of Pisa). 5 indexed citations
6.
Robol, Leonardo, et al.. (2020). Rational Krylov for Stieltjes matrix functions: convergence and pole selection. CINECA IRIS Institutial research information system (University of Pisa). 15 indexed citations
7.
Robol, Leonardo, et al.. (2020). Computing performability measures in Markov chains by means of matrix functions. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations
8.
Bini, Dario A., et al.. (2019). Quasi-Toeplitz matrix arithmetic: a MATLAB toolbox. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations
9.
Kreßner, Daniel, et al.. (2019). Low-rank updates and a divide-and-conquer method for linear matrix equations. ISTI Open Portal. 18 indexed citations
10.
Girardi, Maria, Cristina Padovani, Daniele Pellegrini, Margherita Porcelli, & Leonardo Robol. (2019). Finite element model updating for structural applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 35 indexed citations
11.
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
12.
Mazza, Mariarosa, et al.. (2019). Fast solvers for two-dimensional fractional diffusion equations using rank structured matrices. CINECA IRIS Institutial research information system (University of Pisa). 13 indexed citations
13.
Robol, Leonardo, et al.. (2018). Solving rank-structured Sylvester and Lyapunov equations. ISTI Open Portal. 22 indexed citations
14.
Robol, Leonardo, et al.. (2016). Roots of Polynomials: on twisted QR methods for companion matrices and pencils. Nazarbayev University Repository (Nazarbayev University). 1611(2435). 1 indexed citations
15.
Robol, Leonardo, et al.. (2016). Fast and backward stable computation of the eigenvalues of matrix polynomials. Nazarbayev University Repository (Nazarbayev University). 1611(10142). 2 indexed citations
16.
Robol, Leonardo, et al.. (2016). Decay bounds for the numerical quasiseparable preservation in matrix functions. Linear Algebra and its Applications. 516. 212–242. 8 indexed citations
17.
Bini, Dario A. & Leonardo Robol. (2015). Quasiseparable Hessenberg reduction of real diagonal plus low rank matrices and applications. Linear Algebra and its Applications. 502. 186–213. 3 indexed citations
18.
Bini, Dario A. & Leonardo Robol. (2015). On a class of matrix pencils and ℓ-ifications equivalent to a given matrix polynomial. Linear Algebra and its Applications. 502. 275–298. 5 indexed citations
19.
Bini, Dario A. & Leonardo Robol. (2014). On a Class of Matrix Pencils Equivalent to a Given Matrix Polynomial. arXiv (Cornell University). 2 indexed citations
20.
Bini, Dario A. & Leonardo Robol. (2013). Solving secular and polynomial equations: A multiprecision algorithm. Journal of Computational and Applied Mathematics. 272. 276–292. 48 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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