Danilo Costarellı

3.0k total citations
98 papers, 1.9k citations indexed

About

Danilo Costarellı is a scholar working on Statistics and Probability, Applied Mathematics and Artificial Intelligence. According to data from OpenAlex, Danilo Costarellı has authored 98 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 40 papers in Applied Mathematics and 31 papers in Artificial Intelligence. Recurrent topics in Danilo Costarellı's work include Approximation Theory and Sequence Spaces (43 papers), Neural Networks and Applications (30 papers) and Mathematical Analysis and Transform Methods (25 papers). Danilo Costarellı is often cited by papers focused on Approximation Theory and Sequence Spaces (43 papers), Neural Networks and Applications (30 papers) and Mathematical Analysis and Transform Methods (25 papers). Danilo Costarellı collaborates with scholars based in Italy, Romania and Türkiye. Danilo Costarellı's co-authors include Gianluca Vıntı, Renato Spigler, Lucian Coroianu, Anna Rita Sambucını, Francesco Asdrubali, Antonella Rotili, Francesco Bianchi, Giorgio Baldinelli, Federico Cluni and Sorin G. Gal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Applied Energy.

In The Last Decade

Danilo Costarellı

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danilo Costarellı Italy 28 810 640 629 481 395 98 1.9k
Gianluca Vıntı Italy 29 1.5k 1.9× 339 0.5× 1.3k 2.0× 725 1.5× 367 0.9× 128 2.3k
Asen L. Dontchev United States 30 108 0.1× 117 0.2× 616 1.0× 2.1k 4.4× 61 0.2× 96 3.8k
G.G. Walter United States 13 134 0.2× 338 0.5× 382 0.6× 29 0.1× 486 1.2× 40 1.3k
Tao Qian Macao 26 43 0.1× 107 0.2× 1.3k 2.1× 103 0.2× 846 2.1× 214 2.6k
Haizhang Zhang China 16 62 0.1× 211 0.3× 196 0.3× 48 0.1× 247 0.6× 47 692
Peter R. Wolenski United States 21 54 0.1× 61 0.1× 539 0.9× 605 1.3× 72 0.2× 55 2.5k
Radu Ioan Boţ Germany 26 80 0.1× 115 0.2× 264 0.4× 1.4k 2.9× 78 0.2× 132 2.4k
Alireza Nazemi Iran 22 63 0.1× 508 0.8× 94 0.1× 365 0.8× 55 0.1× 108 1.4k
Houduo Qi United Kingdom 23 47 0.1× 218 0.3× 69 0.1× 737 1.5× 130 0.3× 69 1.4k
Augusto Ferrante Italy 20 56 0.1× 191 0.3× 69 0.1× 296 0.6× 98 0.2× 125 1.4k

Countries citing papers authored by Danilo Costarellı

Since Specialization
Citations

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

Fields of papers citing papers by Danilo Costarellı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danilo Costarellı

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Costarellı. A scholar is included among the top collaborators of Danilo Costarellı 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 Danilo Costarellı. Danilo Costarellı 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.
Costarellı, Danilo, et al.. (2025). Advancements in nonlinear exponential sampling: convergence, quantitative analysis and Voronovskaya-type formula. Communications in Nonlinear Science and Numerical Simulation. 152. 109202–109202.
2.
Bloisi, Domenico D., et al.. (2025). Interpolation Theory and Artificial Intelligence: A Roadmap for Satellite Data Augmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 17422–17448.
3.
Costarellı, Danilo, et al.. (2025). Estimations for the convex modular of the aliasing error of nonlinear sampling Kantorovich operators. Nonlinear Analysis Modelling and Control. 30(2). 270–290. 1 indexed citations
4.
Costarellı, Danilo, et al.. (2025). On the Regularization by Durrmeyer-Sampling Type Operators in $$L^p$$-Spaces via a Distributional Approach. Journal of Fourier Analysis and Applications. 31(1).
5.
Costarellı, Danilo & Anna Rita Sambucını. (2024). A comparison among a fuzzy algorithm for image rescaling with other methods of digital image processing. DergiPark (Istanbul University). 7(2). 45–68. 14 indexed citations
6.
Coroianu, Lucian, et al.. (2024). The approximation capabilities of Durrmeyer-type neural network operators. Journal of Applied Mathematics and Computing. 70(5). 4581–4599. 13 indexed citations
7.
Costarellı, Danilo, et al.. (2024). Convergence results in Orlicz spaces for sequences of max-product sampling Kantorovich operators. Journal of Computational and Applied Mathematics. 449. 115957–115957. 3 indexed citations
8.
Costarellı, Danilo, et al.. (2023). Alzheimer biomarkers esteem by sampling Kantorovich algorithm. Mathematical Methods in the Applied Sciences. 46(12). 13506–13520. 3 indexed citations
9.
Costarellı, Danilo, et al.. (2023). Convergence Results for Nonlinear Sampling Kantorovich Operators in Modular Spaces. Numerical Functional Analysis and Optimization. 44(12). 1276–1299. 7 indexed citations
10.
Markiewicz, Tomasz, et al.. (2022). Improvement of renal image recognition through resolution enhancement. Expert Systems with Applications. 213. 118836–118836. 7 indexed citations
11.
Costarellı, Danilo, et al.. (2020). A solution of the problem of inverse approximation for the sampling Kantorovich operators in case of Lipschitz functions. Università Politecnica delle Marche (Università Politecnica delle Marche). 13(1). 30–35. 7 indexed citations
12.
Costarellı, Danilo & Gianluca Vıntı. (2019). Approximation results by multivariate sampling Kantorovich series in Musielak-Orlicz spaces. 12(1). 7–16. 6 indexed citations
13.
Costarellı, Danilo, et al.. (2019). Quasi-projection operators with applications to differential-difference expansions. Applied Mathematics and Computation. 363. 124623–124623. 3 indexed citations
14.
Costarellı, Danilo & Gianluca Vıntı. (2019). Inverse results of approximation and the saturation order for the sampling Kantorovich series. Journal of Approximation Theory. 242. 64–82. 44 indexed citations
15.
Cieri, Enrico, Gioele Simonte, Danilo Costarellı, et al.. (2019). Computed Tomography Postprocessing for Abdominal Aortic Aneurysm Lumen Recognition in Unenhanced Examinations. Annals of Vascular Surgery. 60. 407–414. 4 indexed citations
16.
Costarellı, Danilo, et al.. (2017). Approximation of discontinuous signals by sampling Kantorovich series. Journal of Mathematical Analysis and Applications. 450(2). 1083–1103. 58 indexed citations
17.
Costarellı, Danilo. (2014). Interpolation by neural network operators activated by ramp functions. Journal of Mathematical Analysis and Applications. 419(1). 574–582. 53 indexed citations
18.
Costarellı, Danilo, et al.. (2013). Asymptotic-numerical solution of nonlinear systems of one-dimensional balance laws. Journal of Computational Physics. 245. 347–363. 1 indexed citations
19.
Costarellı, Danilo & Renato Spigler. (2013). Multivariate neural network operators with sigmoidal activation functions. Neural Networks. 48. 72–77. 65 indexed citations
20.
Costarellı, Danilo & Gianluca Vıntı. (2011). Approximation by Multivariate Generalized Sampling Kantorovich Operators in the Setting of Orlicz Spaces. Bollettino Della Unione Matematica Italiana. 4(3). 445–468. 33 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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