Gianluca Vıntı

3.3k total citations
128 papers, 2.3k citations indexed

About

Gianluca Vıntı is a scholar working on Statistics and Probability, Applied Mathematics and Mathematical Physics. According to data from OpenAlex, Gianluca Vıntı has authored 128 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Statistics and Probability, 74 papers in Applied Mathematics and 27 papers in Mathematical Physics. Recurrent topics in Gianluca Vıntı's work include Approximation Theory and Sequence Spaces (81 papers), Advanced Harmonic Analysis Research (40 papers) and Mathematical Analysis and Transform Methods (36 papers). Gianluca Vıntı is often cited by papers focused on Approximation Theory and Sequence Spaces (81 papers), Advanced Harmonic Analysis Research (40 papers) and Mathematical Analysis and Transform Methods (36 papers). Gianluca Vıntı collaborates with scholars based in Italy, Romania and Türkiye. Gianluca Vıntı's co-authors include Danilo Costarellı, Carlo Bardaro, Laura Angelonı, R. L. Stens, P. L. Butzer, Julian Musielak, Harun Karslı, Federico Cluni, Francesco Asdrubali and Antonella Rotili and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Applied Energy.

In The Last Decade

Gianluca Vıntı

121 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianluca Vıntı Italy 29 1.5k 1.3k 725 367 339 128 2.3k
Danilo Costarellı Italy 28 810 0.5× 629 0.5× 481 0.7× 395 1.1× 640 1.9× 98 1.9k
S. D. Riemenschneider Canada 20 63 0.0× 568 0.4× 211 0.3× 773 2.1× 49 0.1× 54 2.1k
Peter R. Wolenski United States 21 54 0.0× 539 0.4× 605 0.8× 72 0.2× 61 0.2× 55 2.5k
V. F. Demyanov Russia 17 46 0.0× 186 0.1× 707 1.0× 63 0.2× 89 0.3× 69 1.4k
T. N. T. Goodman United Kingdom 22 38 0.0× 317 0.3× 204 0.3× 455 1.2× 25 0.1× 91 1.6k
Jin Liang China 31 29 0.0× 2.3k 1.9× 676 0.9× 26 0.1× 322 0.9× 211 3.8k
Haizhang Zhang China 16 62 0.0× 196 0.2× 48 0.1× 247 0.7× 211 0.6× 47 692
Akhtar A. Khan United States 20 208 0.1× 122 0.1× 514 0.7× 15 0.0× 17 0.1× 70 1.3k
Yacine Chitour France 21 88 0.1× 92 0.1× 54 0.1× 92 0.3× 116 0.3× 102 1.7k
Greg Knowles United Kingdom 13 49 0.0× 147 0.1× 51 0.1× 753 2.1× 57 0.2× 32 1.3k

Countries citing papers authored by Gianluca Vıntı

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Vıntı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Vıntı

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Vıntı. A scholar is included among the top collaborators of Gianluca Vıntı 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 Gianluca Vıntı. Gianluca Vıntı 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). 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
2.
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
3.
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
4.
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
5.
Angelonı, Laura & Gianluca Vıntı. (2023). Multidimensional sampling-Kantorovich operators in BV-spaces. Open Mathematics. 21(1). 5 indexed citations
6.
Markiewicz, Tomasz, et al.. (2022). Improvement of renal image recognition through resolution enhancement. Expert Systems with Applications. 213. 118836–118836. 7 indexed citations
7.
Angelonı, Laura & Gianluca Vıntı. (2021). Estimates in variation for multivariate sampling-type operators. 14(2). 1–9. 1 indexed citations
8.
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
9.
Costarellı, Danilo & Gianluca Vıntı. (2019). Approximation results by multivariate sampling Kantorovich series in Musielak-Orlicz spaces. 12(1). 7–16. 6 indexed citations
10.
Costarellı, Danilo, et al.. (2019). Quasi-projection operators with applications to differential-difference expansions. Applied Mathematics and Computation. 363. 124623–124623. 3 indexed citations
11.
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
12.
Vıntı, Gianluca, et al.. (2018). A General Approximation Approach for the Simultaneous Treatment of Integral and Discrete Operators. SHILAP Revista de lepidopterología. 6 indexed citations
13.
Angelonı, Laura & Gianluca Vıntı. (2015). A Characterization of Absolute Continuity by means of Mellin Integral Operators. Zeitschrift für Analysis und ihre Anwendungen. 34(3). 343–356. 13 indexed citations
14.
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
15.
Angelonı, Laura & Gianluca Vıntı. (2008). Convergence and rate of approximation for linear integral operators inBVφ-spaces in multidimensional setting. Journal of Mathematical Analysis and Applications. 349(2). 317–334. 29 indexed citations
16.
Bardaro, Carlo & Gianluca Vıntı. (2002). Urysohn integral operators with homogeneous kernel: approximation properties in modular spaces. 42(2). 145–182. 4 indexed citations
17.
Bardaro, Carlo, Julian Musielak, & Gianluca Vıntı. (2000). On Nonlinear Integro-differential Operators in Generalized Orlicz–Sobolev Spaces. Journal of Approximation Theory. 105(2). 238–251.
18.
Bardaro, Carlo & Gianluca Vıntı. (1997). A modular convergence theorem for certain nonlinear integral operators with homogeneous kernel. Collectanea mathematica. 48(4). 393–407. 1 indexed citations
19.
Bardaro, Carlo, Gianluca Vıntı, & Julian Musielak. (1997). Nonlinear operators of integral type in some function spaces. Collectanea mathematica. 48(4). 409–422. 5 indexed citations
20.
Bardaro, Carlo, Julian Musielak, & Gianluca Vıntı. (1996). ON THE DEFINITION AND PROPERTIES OF A GENERAL MODULUS OF CONTINUITY IN SOME FUNCTIONAL SPACES. Mathematica japonica. 43(3). 445–450. 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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