Filippo Amato
- Artificial Intelligence top 5%
- Health Information Management top 1%
- Oncology
- Biomedical Engineering
- Organic Chemistry
- Co-authors
- Josef HavelEladia María Peña‐MéndezPetr VaňharaAleš HamplAlberto Botana LópezTiziana PivettaFederica TruduGiuseppe Bazan
- Topics
- Laser-Ablation Synthesis of Nanoparticles (5 papers)Fermentation and Sensory Analysis (4 papers)Horticultural and Viticultural Research (4 papers)
In The Last Decade
Filippo Amato
26 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Artificial Intelligence 238
- Health Information Management 126
- Oncology 123
- Biomedical Engineering 105
- Organic Chemistry 100
Countries citing papers authored by Filippo Amato
This map shows the geographic impact of Filippo Amato'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 Filippo Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Amato more than expected).
Fields of papers citing papers by Filippo Amato
This network shows the impact of papers produced by Filippo Amato. 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 Filippo Amato. The network helps show where Filippo Amato may publish in the future.
Co-authorship network of co-authors of Filippo Amato
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Amato. A scholar is included among the top collaborators of Filippo Amato 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 Filippo Amato. Filippo Amato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 38 | |
| 12 | 63 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | Generation of novel AupAgqTer clusters via laser ablationsynthesis using Au-Ag-Te nano-composite as precursor: Laserdesorption ionisation with quadrupole ion trap time-of-flightmass spectrometry | 1 |
| 16 | 4 | |
| 17 | Artificial neural networks in medical diagnosisbreakdown → | 589 |
| 18 | 33 | |
| 19 | Le piante tossiche della flora trapanese (Sicilia) | 8 |
| 20 | 40 |
About Filippo Amato
Filippo Amato is a scholar working on Food Science, Health Information Management and Plant Science, having authored 27 papers that have together received 994 indexed citations. Recurring topics across this work include Laser-Ablation Synthesis of Nanoparticles (5 papers), Fermentation and Sensory Analysis (4 papers) and Horticultural and Viticultural Research (4 papers). The work is most often cited by research in Health Informatics (40 citations), Health Information Management (126 citations) and Artificial Intelligence (238 citations). Filippo Amato has collaborated with scholars based in Italy, Czechia and Spain. Frequent co-authors include Josef Havel, Eladia María Peña‐Méndez, Petr Vaňhara, Aleš Hampl, Alberto Botana López, Tiziana Pivetta, Federica Trudu, Giuseppe Bazan, G. Noto and Anna Geraci. Their work appears in journals such as PLoS ONE, Chemistry - A European Journal and Food Research International.
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.