Pierluigi Maponi

646 total citations
70 papers, 417 citations indexed

About

Pierluigi Maponi is a scholar working on Mathematical Physics, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Pierluigi Maponi has authored 70 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Mathematical Physics, 14 papers in Atomic and Molecular Physics, and Optics and 12 papers in Biomedical Engineering. Recurrent topics in Pierluigi Maponi's work include Numerical methods in inverse problems (16 papers), Electromagnetic Scattering and Analysis (14 papers) and Microwave Imaging and Scattering Analysis (9 papers). Pierluigi Maponi is often cited by papers focused on Numerical methods in inverse problems (16 papers), Electromagnetic Scattering and Analysis (14 papers) and Microwave Imaging and Scattering Analysis (9 papers). Pierluigi Maponi collaborates with scholars based in Italy, United States and Russia. Pierluigi Maponi's co-authors include Francesco Zirilli, Annamaria Zaia, R Rossi, R. Murri, Stefano Serresi, Tiziana Casoli, Andrea Basso, Lorenzo Scalise, Maria Cristina Recchioni and Τhomas Panagopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Mathematical Analysis and Applications.

In The Last Decade

Pierluigi Maponi

58 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierluigi Maponi Italy 13 60 46 44 40 39 70 417
Don Chakerian United States 5 25 0.4× 32 0.7× 25 0.6× 36 0.9× 30 0.8× 9 522
Cristina Turner Argentina 12 52 0.9× 69 1.5× 15 0.3× 42 1.1× 37 0.9× 29 528
Qing Wei China 12 48 0.8× 11 0.2× 63 1.4× 15 0.4× 35 0.9× 31 390
Ziyang Yuan China 12 82 1.4× 29 0.6× 32 0.7× 8 0.2× 120 3.1× 37 783
Yi Qin China 14 46 0.8× 172 3.7× 52 1.2× 12 0.3× 11 0.3× 56 611
Luis Pizarro United Kingdom 13 117 1.9× 79 1.7× 73 1.7× 12 0.3× 159 4.1× 42 641
Liu Liu China 10 31 0.5× 101 2.2× 13 0.3× 46 1.1× 14 0.4× 158 519
Dave Watson Australia 3 22 0.4× 50 1.1× 16 0.4× 5 0.1× 60 1.5× 4 473
B. E. J. Bodmann Brazil 12 11 0.2× 58 1.3× 32 0.7× 22 0.6× 63 1.6× 81 549
Nihar Kumar Mahato India 9 45 0.8× 37 0.8× 12 0.3× 11 0.3× 230 5.9× 22 483

Countries citing papers authored by Pierluigi Maponi

Since Specialization
Citations

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

Fields of papers citing papers by Pierluigi Maponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierluigi Maponi

This figure shows the co-authorship network connecting the top 25 collaborators of Pierluigi Maponi. A scholar is included among the top collaborators of Pierluigi Maponi 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 Pierluigi Maponi. Pierluigi Maponi 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.
Maponi, Pierluigi, et al.. (2025). Fast numerical derivatives of univariate functions on non-uniform grids. Journal of Computational and Applied Mathematics. 467. 116619–116619.
2.
Maponi, Pierluigi, et al.. (2023). Landslide Hazard Assessment Model for Slope Stability Analysis. Università Politecnica delle Marche (Università Politecnica delle Marche). 10. 77–87. 1 indexed citations
3.
Zaia, Annamaria, et al.. (2023). Measuring Drug Therapy Effect on Osteoporotic Fracture Risk by Trabecular Bone Lacunarity: The LOTO Study. Biomedicines. 11(3). 781–781. 2 indexed citations
4.
Maponi, Pierluigi, et al.. (2023). An FFT method for the numerical differentiation. Applied Mathematics and Computation. 445. 127856–127856. 3 indexed citations
5.
Angeloni, Simone, et al.. (2023). Computer Percolation Models for Espresso Coffee: State of the Art, Results and Future Perspectives. Applied Sciences. 13(4). 2688–2688. 2 indexed citations
6.
Maponi, Pierluigi, et al.. (2022). Inverse heat conduction to model and optimise a geothermal field. Journal of Computational and Applied Mathematics. 423. 114957–114957. 5 indexed citations
7.
Maponi, Pierluigi, et al.. (2022). An advection–diffusion–reaction model for coffee percolation. Computational and Applied Mathematics. 41(6). 4 indexed citations
8.
Zaia, Annamaria, et al.. (2021). Fractal lacunarity of trabecular bone in vertebral MRI to predict osteoporotic fracture risk in over-fifties women. The LOTO study. BMC Musculoskeletal Disorders. 22(1). 108–108. 10 indexed citations
9.
Maponi, Pierluigi, et al.. (2018). Mathematical model to analyze the flow and heat transfer problem in U-shaped geothermal exchangers. Applied Mathematical Modelling. 61. 83–106. 23 indexed citations
10.
Maponi, Pierluigi, et al.. (2018). An integral equation method for the numerical solution of the Burgers equation. Computers & Mathematics with Applications. 76(1). 35–44. 13 indexed citations
11.
Maponi, Pierluigi, et al.. (2017). The singular value expansion of the Volterra integral equation associated to a numerical differentiation problem. Journal of Mathematical Analysis and Applications. 460(2). 656–681. 4 indexed citations
12.
Zaia, Annamaria, Pierluigi Maponi, Giuseppina Di Stefano, & Tiziana Casoli. (2017). Biocomplexity and Fractality in the Search of Biomarkers of Aging and Pathology: Focus on Mitochondrial DNA and Alzheimer’s Disease. Aging and Disease. 8(1). 44–44. 12 indexed citations
13.
Maponi, Pierluigi, et al.. (2016). Mathematical models for the generation of energy from wave motion. Unicam Scientific Publications (University of Camerino). 19. 41–50.
14.
Pellegrini, Marco, Renato De Leone, & Pierluigi Maponi. (2013). Reducing Power Consuption in Hydrometric Level Sensor Network Using Support Vector Machines. Unicam Scientific Publications (University of Camerino). 229–232. 1 indexed citations
15.
Maponi, Pierluigi, et al.. (2007). The efficient solution of electromagnetic scattering for inhomogeneous media. Journal of Computational and Applied Mathematics. 210(1-2). 175–182. 3 indexed citations
16.
Maponi, Pierluigi. (2006). The solution of linear systems by using the Sherman–Morrison formula. Linear Algebra and its Applications. 420(2-3). 276–294. 21 indexed citations
17.
Zaia, Annamaria, et al.. (2006). MR Imaging and Osteoporosis: Fractal Lacunarity Analysis of Trabecular Bone. IEEE Transactions on Information Technology in Biomedicine. 10(3). 484–489. 33 indexed citations
18.
Maponi, Pierluigi, et al.. (2005). A Sherman–Morrison approach to the solution of linear systems. Journal of Computational and Applied Mathematics. 189(1-2). 703–718. 19 indexed citations
19.
Maponi, Pierluigi, et al.. (2005). Fractal characterisation of boundary irregularity in skin pigmented lesions. Medical & Biological Engineering & Computing. 43(4). 436–442. 29 indexed citations
20.
Maponi, Pierluigi, et al.. (1991). An inverse problem for the three dimensional vector helmholtz equation for a perfectly conducting obstacle. Computers & Mathematics with Applications. 22(4-5). 137–146. 15 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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