Riccardo Rizzo
- Molecular Biology
- Artificial Intelligence top 5%
- Cancer Research
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Co-authors
- Alfonso UrsoAntonino FiannacaMassimo La RosaLaura La PagliaIgnazio InfantinoSalvatore GaglioGiovanni PilatoPeter Brusilovsky
- Topics
- Genomics and Phylogenetic Studies (11 papers)Machine Learning in Bioinformatics (9 papers)Neural Networks and Applications (9 papers)
- Partner nations
- ItalyIndiaUnited Kingdom
In The Last Decade
Riccardo Rizzo
70 papers receiving 662 citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 320
- Artificial Intelligence 213
- Cancer Research 89
- Computer Vision and Pattern Recognition 76
- Control and Systems Engineering 61
Countries citing papers authored by Riccardo Rizzo
This map shows the geographic impact of Riccardo Rizzo'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 Riccardo Rizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Rizzo more than expected).
Fields of papers citing papers by Riccardo Rizzo
This network shows the impact of papers produced by Riccardo Rizzo. 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 Riccardo Rizzo. The network helps show where Riccardo Rizzo may publish in the future.
Co-authorship network of co-authors of Riccardo Rizzo
This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Rizzo. A scholar is included among the top collaborators of Riccardo Rizzo 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 Riccardo Rizzo. Riccardo Rizzo 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 81 | |
| 9 | 52 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | Combining Representational Domains for Computational Creativity. | 8 |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 16 | |
| 16 | 20 | |
| 17 | An Intelligent System for Decision Support in Bioinformatics. | 5 |
| 18 | 1 | |
| 19 | Browsing a Document Collection as an Hypertext | 3 |
| 20 | Self Organizing Networks to Map Information Space in Hypertext Development. | 1 |
About Riccardo Rizzo
Riccardo Rizzo is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 706 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Machine Learning in Bioinformatics (9 papers) and Neural Networks and Applications (9 papers). The work is most often cited by research in Human-Computer Interaction (43 citations), Computer Science Applications (37 citations) and Artificial Intelligence (213 citations). Riccardo Rizzo has collaborated with scholars based in Italy, India and United Kingdom. Frequent co-authors include Alfonso Urso, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Ignazio Infantino, Salvatore Gaglio, Giovanni Pilato, Peter Brusilovsky, Filippo Vella and Giosuè Lo Bosco. Their work appears in journals such as Macromolecules, 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.