Bruno Carpentieri

1.4k total citations
109 papers, 888 citations indexed

About

Bruno Carpentieri is a scholar working on Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Numerical Analysis. According to data from OpenAlex, Bruno Carpentieri has authored 109 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computational Theory and Mathematics, 51 papers in Atomic and Molecular Physics, and Optics and 37 papers in Numerical Analysis. Recurrent topics in Bruno Carpentieri's work include Matrix Theory and Algorithms (52 papers), Electromagnetic Scattering and Analysis (51 papers) and Electromagnetic Simulation and Numerical Methods (27 papers). Bruno Carpentieri is often cited by papers focused on Matrix Theory and Algorithms (52 papers), Electromagnetic Scattering and Analysis (51 papers) and Electromagnetic Simulation and Numerical Methods (27 papers). Bruno Carpentieri collaborates with scholars based in Italy, China and Netherlands. Bruno Carpentieri's co-authors include Luc Giraud, I. S. Duff, Ting‐Zhu Huang, Iain Duff, Xian‐Ming Gu, Mudassir Shams, Yong Duan, Matthias Bollhöfer, Mufutau Ajani Rufai and Gerhard A. Holzapfel and has published in prestigious journals such as Journal of Computational Physics, International Journal of Molecular Sciences and IEEE Access.

In The Last Decade

Bruno Carpentieri

91 papers receiving 828 citations

Peers

Bruno Carpentieri

AMPO

CTM

EEE

Bryan P. Rynne United Kingdom

Steffen Börm Germany

Euan A. Spence United Kingdom

Zhongyi Huang China

Victorita Dolean France

P. Sonneveld Netherlands

Linzhang Lu China

A.E. Ruehli United States

Matthias Bollhöfer Germany

Bryan P. Rynne United Kingdom

Bruno Carpentieri

338 ×0.7

AMPO

321 ×0.8

CTM

359 ×1.0

EEE

209 ×1.1

49 ×0.4

Citations per year, relative to Bruno Carpentieri Bruno Carpentieri (= 1×) peers Bryan P. Rynne

Countries citing papers authored by Bruno Carpentieri

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Carpentieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Carpentieri

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Carpentieri. A scholar is included among the top collaborators of Bruno Carpentieri 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 Carpentieri. Bruno Carpentieri 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

Jiao, Ying, et al.. (2025). Efficient hybrid PageRank centrality computation for multilayer networks. Chaos Solitons & Fractals. 192. 116018–116018. 2 indexed citations

Shams, Mudassir & Bruno Carpentieri. (2025). Efficient Hybrid ANN-Accelerated Two-Stage Implicit Schemes for Fractional Differential Equations. Mathematics. 13(23). 3774–3774.

Han, Gui Young, et al.. (2024). Weak dangling block reordering and multi-step block compression for efficiently computing and updating PageRank solutions. Journal of Computational and Applied Mathematics. 458. 116332–116332.

Carpentieri, Bruno, et al.. (2024). The MFPIO iteration and the FPMPE method for multilinear PageRank computations. Journal of Computational and Applied Mathematics. 454. 116192–116192.

Carpentieri, Bruno, et al.. (2024). Bridging Diverse Physics and Scales of Knee Cartilage With Efficient and Augmented Graph Learning. IEEE Access. 12. 86302–86318.

Shams, Mudassir & Bruno Carpentieri. (2024). Q-Analogues of Parallel Numerical Scheme Based on Neural Networks and Their Engineering Applications. Applied Sciences. 14(4). 1540–1540. 3 indexed citations

Rufai, Mufutau Ajani, Higinio Ramos, & Bruno Carpentieri. (2023). A variable stepsize hybrid block optimized technique for integrating a class of singularly perturbed parabolic problems. Results in Applied Mathematics. 21. 100417–100417. 3 indexed citations

Rufai, Mufutau Ajani, et al.. (2023). A New Two-Step Hybrid Block Method for the FitzHugh–Nagumo Model Equation. Mathematics. 12(1). 51–51. 5 indexed citations

Carpentieri, Bruno, et al.. (2023). Fast Iterative Solution of Multiple Right-Hand Sides MoM Linear Systems on CPUs and GPUs Computers. IEEE Transactions on Microwave Theory and Techniques. 72(8). 4431–4444.

10.

Carpentieri, Bruno, Thomas F. Keller, Mária Fáberová, et al.. (2023). Effect of cyclic loading on microstructure and crack propagation in additively manufactured biomaterial Co–Cr–Mo alloy. Journal of Materials Research and Technology. 26. 3905–3916. 10 indexed citations

11.

Wu, Jing, et al.. (2022). A note on the structured perturbation analysis for the inversion formula of Toeplitz matrices. Japan Journal of Industrial and Applied Mathematics. 40(1). 645–663. 4 indexed citations

12.

Mosca, Alessandro, Diego Calvanese, Luisa Tomasello, et al.. (2022). Gene Expression Landscape of Chronic Myeloid Leukemia K562 Cells Overexpressing the Tumor Suppressor Gene PTPRG. International Journal of Molecular Sciences. 23(17). 9899–9899. 4 indexed citations

13.

Huang, Ting‐Zhu, et al.. (2018). A New Shifted Block GMRES Method with Inexact Breakdowns for Solving Multi-Shifted and Multiple Right-Hand Sides Linear Systems. Journal of Scientific Computing. 78(2). 746–769. 8 indexed citations

14.

Huang, Ting‐Zhu, et al.. (2018). Flexible and deflated variants of the block shifted GMRES method. Journal of Computational and Applied Mathematics. 345. 168–183. 10 indexed citations

15.

Huang, Ting‐Zhu, et al.. (2018). Correction to: A New Shifted Block GMRES Method with Inexact Breakdowns for Solving Multi-Shifted and Multiple Right-Hand Sides Linear Systems. Journal of Scientific Computing. 78(2). 770–771. 7 indexed citations

16.

Carpentieri, Bruno, et al.. (2018). A spectrally preconditioned and initially deflated variant of the restarted block GMRES method for solving multiple right-hand sides linear systems. International Journal of Mechanical Sciences. 144. 775–787. 5 indexed citations

17.

Huang, Ting‐Zhu, et al.. (2018). Off-diagonal low-rank preconditioner for difficult PageRank problems. Journal of Computational and Applied Mathematics. 346. 456–470. 9 indexed citations

18.

Gu, Xian‐Ming, et al.. (2016). Efficient variants of the CMRH method for solving multi-shifted non-Hermitian linear systems. arXiv (Cornell University). 2 indexed citations

19.

Gu, Xian‐Ming, et al.. (2015). A hybridized iterative algorithm of the BiCORSTAB and GPBiCOR methods for solving non-Hermitian linear systems. Computers & Mathematics with Applications. 70(12). 3019–3031. 9 indexed citations

20.

Huang, Ting‐Zhu, et al.. (2014). A quasi-minimal residual variant of the BiCORSTAB method for nonsymmetric linear systems. Computers & Mathematics with Applications. 67(10). 1743–1755. 7 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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