Lidia Aceto

569 total citations
38 papers, 406 citations indexed

About

Lidia Aceto is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Modeling and Simulation. According to data from OpenAlex, Lidia Aceto has authored 38 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Numerical Analysis, 13 papers in Computational Theory and Mathematics and 13 papers in Modeling and Simulation. Recurrent topics in Lidia Aceto's work include Numerical methods for differential equations (16 papers), Fractional Differential Equations Solutions (13 papers) and Matrix Theory and Algorithms (11 papers). Lidia Aceto is often cited by papers focused on Numerical methods for differential equations (16 papers), Fractional Differential Equations Solutions (13 papers) and Matrix Theory and Algorithms (11 papers). Lidia Aceto collaborates with scholars based in Italy, United Kingdom and Austria. Lidia Aceto's co-authors include Donato Trigiante, Paolo Novati, Marco Marletta, Isabel Cação, Dajana Conte, Mariarosa Mazza, Daniele Bertaccini, Alessandra Sestini, Stefano Serra‐Capizzano and Ewa Weinmüller and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Lidia Aceto

38 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lidia Aceto Italy 13 231 153 125 89 80 38 406
Balmohan V. Limaye India 9 104 0.5× 130 0.8× 63 0.5× 155 1.7× 99 1.2× 45 396
F. Wielonsky France 12 99 0.4× 65 0.4× 59 0.5× 63 0.7× 225 2.8× 31 328
Fu‐Rong Lin China 12 229 1.0× 129 0.8× 300 2.4× 63 0.7× 95 1.2× 46 494
Anna Napoli Italy 11 212 0.9× 61 0.4× 214 1.7× 11 0.1× 136 1.7× 50 403
Maŕıa López-Fernández Spain 11 210 0.9× 89 0.6× 175 1.4× 85 1.0× 131 1.6× 18 456
Liviu I. Ignat Romania 11 103 0.4× 118 0.8× 75 0.6× 188 2.1× 141 1.8× 31 366
Dimitar K. Dimitrov Brazil 14 126 0.5× 100 0.7× 62 0.5× 54 0.6× 410 5.1× 63 494
Igor Moret Italy 15 442 1.9× 331 2.2× 184 1.5× 48 0.5× 43 0.5× 37 594
Lisa Jacobsen Norway 9 95 0.4× 44 0.3× 72 0.6× 87 1.0× 148 1.9× 34 309
Gregory Derfel Israel 9 126 0.5× 63 0.4× 116 0.9× 79 0.9× 152 1.9× 23 347

Countries citing papers authored by Lidia Aceto

Since Specialization
Citations

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

Fields of papers citing papers by Lidia Aceto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lidia Aceto

This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Aceto. A scholar is included among the top collaborators of Lidia Aceto 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 Lidia Aceto. Lidia Aceto 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.
Aceto, Lidia, et al.. (2023). On a generalization of time-accurate and highly-stable explicit operators for stiff problems. Applied Numerical Mathematics. 200. 2–17. 10 indexed citations
2.
Aceto, Lidia & Paolo Novati. (2022). Exponentially Convergent Trapezoidal Rules to Approximate Fractional Powers of Operators. Journal of Scientific Computing. 91(2). 4 indexed citations
3.
Aceto, Lidia & Paolo Novati. (2020). Padé-type Approximations to the Resolvent of Fractional Powers of Operators. arXiv (Cornell University). 5 indexed citations
4.
Aceto, Lidia, Mariarosa Mazza, & Stefano Serra‐Capizzano. (2020). Fractional Laplace operator in two dimensions, approximating matrices, and related spectral analysis. CALCOLO. 57(3). 5 indexed citations
5.
Aceto, Lidia, et al.. (2019). Rational Krylov methods for functions of matrices with applications to fractional partial differential equations. Journal of Computational Physics. 396. 470–482. 13 indexed citations
6.
Aceto, Lidia & Paolo Novati. (2017). Efficient Implementation of Rational Approximations to Fractional Differential Operators. Journal of Scientific Computing. 76(1). 651–671. 9 indexed citations
7.
Aceto, Lidia & Isabel Cação. (2016). A matrix approach to Sheffer polynomials. Journal of Mathematical Analysis and Applications. 446(1). 87–100. 7 indexed citations
8.
Aceto, Lidia & Paolo Novati. (2016). Rational approximation to the fractional Laplacian operator in reaction-diffusion problems. arXiv (Cornell University). 42 indexed citations
9.
Aceto, Lidia, et al.. (2012). PGSCM: A family of P-stable Boundary Value Methods for second-order initial value problems. Journal of Computational and Applied Mathematics. 236(16). 3857–3868. 16 indexed citations
10.
Aceto, Lidia, et al.. (2012). Generalized Adams methods for fractional differential equations. AIP conference proceedings. 250–253. 1 indexed citations
11.
Aceto, Lidia, et al.. (2012). Boundary Value Methods for the reconstruction of Sturm–Liouville potentials. Applied Mathematics and Computation. 219(6). 2960–2974. 17 indexed citations
12.
Aceto, Lidia, et al.. (2009). On the relations between B2V Ms and Runge–Kutta collocation methods. Journal of Computational and Applied Mathematics. 231(1). 11–23. 6 indexed citations
13.
Aceto, Lidia & Alessandra Sestini. (2008). Numerical Aspects of the Coefficient Computation for LMMs1. Florence Research (University of Florence). 3. 181–191. 3 indexed citations
14.
Aceto, Lidia, et al.. (2007). Numerical solution of forward and inverse Sturm–Liouville problems with an angular momentum singularity. Inverse Problems. 24(1). 15001–15001. 11 indexed citations
15.
Aceto, Lidia, et al.. (2007). Stability Analysis of Linear Multistep Methods via Polynomial Type Variation 1. CINECA IRIS Institutial research information system (University of Pisa). 2. 1–9. 24 indexed citations
16.
Aceto, Lidia & Donato Trigiante. (2006). The stability problem for linear multistep methods: Old and new results. Journal of Computational and Applied Mathematics. 210(1-2). 2–12. 6 indexed citations
17.
Aceto, Lidia. (2005). Some Applications of the Pascal Matrix to the Study of Numerical Methods for Differential Equations. CINECA IRIS Institutial research information system (University of Pisa). 8(3). 639–651. 1 indexed citations
18.
Aceto, Lidia, et al.. (2005). Numerical computation of eigenvalues in spectral gaps of Sturm–Liouville operators. Journal of Computational and Applied Mathematics. 189(1-2). 453–470. 7 indexed citations
19.
Aceto, Lidia & Donato Trigiante. (2003). On the properties of matrices defining some classes of BVMs. Numerische Mathematik. 96(1). 1–16. 2 indexed citations
20.
Aceto, Lidia & Donato Trigiante. (1999). Symmetric schemes, time reversal symmetry and conservative methods for Hamiltonian systems. Journal of Computational and Applied Mathematics. 107(2). 257–274. 4 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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