Antonino Staiano
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Environmental Engineering
- Control and Systems Engineering
- Co-authors
- Francesco CamastraAngelo CiaramellaRoberto TagliaferriWitold PedryczG. LongoAngelo RiccioValentina RastelliGiancarlo Raiconi
- Topics
- Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (7 papers)Neural Networks and Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsThe Astrophysical Journal
- Partner nations
- ItalyUnited StatesPortugal
In The Last Decade
Antonino Staiano
48 papers receiving 654 citations
Peers
Comparison fields: 5 of 134
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 112
- Molecular Biology 84
- Environmental Engineering 61
- Control and Systems Engineering 46
Countries citing papers authored by Antonino Staiano
This map shows the geographic impact of Antonino Staiano'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 Antonino Staiano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonino Staiano more than expected).
Fields of papers citing papers by Antonino Staiano
This network shows the impact of papers produced by Antonino Staiano. 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 Antonino Staiano. The network helps show where Antonino Staiano may publish in the future.
Co-authorship network of co-authors of Antonino Staiano
This figure shows the co-authorship network connecting the top 25 collaborators of Antonino Staiano. A scholar is included among the top collaborators of Antonino Staiano 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 Antonino Staiano. Antonino Staiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 24 | |
| 17 | 27 | |
| 18 | Applications of neural networks in astronomy and astroparticle physics | 3 |
| 19 | 27 | |
| 20 | 5 |
About Antonino Staiano
Antonino Staiano is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 679 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (7 papers) and Neural Networks and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Computer Vision and Pattern Recognition (112 citations) and Instrumentation (17 citations). Antonino Staiano has collaborated with scholars based in Italy, United States and Portugal. Frequent co-authors include Francesco Camastra, Angelo Ciaramella, Roberto Tagliaferri, Witold Pedrycz, G. Longo, Angelo Riccio, Valentina Rastelli, Giancarlo Raiconi, Maria Donata Di Taranto and Angela Rizzo. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Astrophysical Journal.
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.