Ardelio Galletti
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Salvatore CuomoLivia MarcellinoGiulio GiuntaPasquale De MicheleFrancesco PiccialliGiovanna SanninoGiuseppe De PietroRaffaele Montella
- Topics
- Image and Signal Denoising Methods (17 papers)Advanced Numerical Analysis Techniques (7 papers)ECG Monitoring and Analysis (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ItalyDenmarkUnited States
In The Last Decade
Ardelio Galletti
59 papers receiving 666 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 171
- Computational Mechanics 111
- Artificial Intelligence 110
- Computer Networks and Communications 96
- Cardiology and Cardiovascular Medicine 69
Countries citing papers authored by Ardelio Galletti
This map shows the geographic impact of Ardelio Galletti'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 Ardelio Galletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ardelio Galletti more than expected).
Fields of papers citing papers by Ardelio Galletti
This network shows the impact of papers produced by Ardelio Galletti. 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 Ardelio Galletti. The network helps show where Ardelio Galletti may publish in the future.
Co-authorship network of co-authors of Ardelio Galletti
This figure shows the co-authorship network connecting the top 25 collaborators of Ardelio Galletti. A scholar is included among the top collaborators of Ardelio Galletti 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 Ardelio Galletti. Ardelio Galletti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 18 | |
| 10 | 73 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 11 | |
| 15 | 52 | |
| 16 | 11 | |
| 17 | 18 | |
| 18 | 19 | |
| 19 | 16 | |
| 20 | 3 |
About Ardelio Galletti
Ardelio Galletti is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 60 papers that have together received 678 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Advanced Numerical Analysis Techniques (7 papers) and ECG Monitoring and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Signal Processing (65 citations) and Numerical Analysis (32 citations). Ardelio Galletti has collaborated with scholars based in Italy, Denmark and United States. Frequent co-authors include Salvatore Cuomo, Livia Marcellino, Giulio Giunta, Pasquale De Michele, Francesco Piccialli, Giovanna Sannino, Giuseppe De Pietro, Raffaele Montella, Jai E. Jung and Diana Di Luccio. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.