Danilo Costarellı
Impact in
- Statistics and Probability top 0.5%
- Approximation Theory and Sequence Spaces
- Numerical Analysis top 1%
- Mathematical Approximation and Integration
Papers in
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- Approximation Theory and Sequence Spaces 44
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- Mathematical Analysis and Transform Methods 25
- Advanced Harmonic Analysis Research 17
- Co-authors
- Gianluca Vıntı (69 shared papers)Renato Spigler (10 shared papers)Lucian Coroianu (9 shared papers)Anna Rita Sambucını (5 shared papers)Tuncer Acar (3 shared papers)Giorgio Baldinelli (4 shared papers)Francesco Bianchi (4 shared papers)Antonella Rotili (2 shared papers)
In The Last Decade
Danilo Costarellı
92 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 84
- Statistics and Probability 847
- Numerical Analysis 495
- Applied Mathematics 650
- Modeling and Simulation 116
- Artificial Intelligence 661
Countries citing papers authored by Danilo Costarellı
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
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-authors
The 25 scholars most cited alongside Danilo Costarellı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2017 | 76 | |
| 3 | 2014 | 72 | |
| 4 | 2013 | 67 | |
| 5 | 2017 | 66 | |
| 6 | 2017 | 60 | |
| 7 | 2015 | 59 | |
| 8 | 2016 | 57 | |
| 9 | 2016 | 56 | |
| 10 | 2014 | 54 | |
| 11 | 2014 | 53 | |
| 12 | 2016 | 50 | |
| 13 | 2020 | 49 | |
| 14 | 2016 | 48 | |
| 15 | 2014 | 47 | |
| 16 | 2013 | 47 | |
| 17 | 2018 | 45 | |
| 18 | 2019 | 44 | |
| 19 | 2020 | 39 | |
| 20 | 2013 | 39 |
About Danilo Costarellı
Danilo Costarellı is a scholar working on Statistics and Probability, Applied Mathematics, Artificial Intelligence, Computer Vision and Pattern Recognition and Numerical Analysis, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Approximation Theory and Sequence Spaces (44 papers), Neural Networks and Applications (31 papers), Mathematical Analysis and Transform Methods (25 papers), Fuzzy Logic and Control Systems (18 papers), Image and Signal Denoising Methods (18 papers), Advanced Harmonic Analysis Research (17 papers), Mathematical Approximation and Integration (11 papers) and Iterative Methods for Nonlinear Equations (10 papers). The work is most often cited by research in Statistics and Probability (847 citations), Numerical Analysis (495 citations), Applied Mathematics (650 citations), Modeling and Simulation (116 citations) and Artificial Intelligence (661 citations). Danilo Costarellı has collaborated with scholars based in Italy, Romania and Türkiye. Frequent co-authors include Gianluca Vıntı, Renato Spigler, Lucian Coroianu, Anna Rita Sambucını, Tuncer Acar, Giorgio Baldinelli, Francesco Bianchi, Antonella Rotili, Francesco Asdrubali and Federico Cluni. Their work appears in journals such as Results in Mathematics, Numerical Functional Analysis and Optimization, Applied Mathematics and Computation, Journal of Approximation Theory and Neural Networks.
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.