Giorgio Valentini
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Genetics top 10%
- Co-authors
- Matteo RéThomas G. DietterichAlberto BertoniClaudia AntonettiDomenico LicursiPeter N. RobinsonFrancesco MasulliSara Fulignati
- Topics
- Bioinformatics and Genomic Networks (47 papers)Gene expression and cancer classification (45 papers)Machine Learning in Bioinformatics (24 papers)
- Cited by
- Artificial IntelligenceProcess Chemistry and TechnologyComputer Vision and Pattern Recognition
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietySHILAP Revista de lepidopterología
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giorgio Valentini
120 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 164
- Molecular Biology 1.1k
- Artificial Intelligence 826
- Computer Vision and Pattern Recognition 350
- Biomedical Engineering 341
- Genetics 217
Countries citing papers authored by Giorgio Valentini
This map shows the geographic impact of Giorgio Valentini'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 Giorgio Valentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Valentini more than expected).
Fields of papers citing papers by Giorgio Valentini
This network shows the impact of papers produced by Giorgio Valentini. 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 Giorgio Valentini. The network helps show where Giorgio Valentini may publish in the future.
Co-authorship network of co-authors of Giorgio Valentini
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Valentini. A scholar is included among the top collaborators of Giorgio Valentini 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 Giorgio Valentini. Giorgio Valentini 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 56 | |
| 17 | Conversion of biomass to levulinic acid, a new feedstock for the chemical industry | 5 |
| 18 | Weighted True Path Rule: a multilabel hierarchical algorithm for gene function prediction | 17 |
| 19 | Low bias bagged support vector machines | 46 |
| 20 | NEURObjects: A Set of Library Classes for Neural Networks Development. | 3 |
About Giorgio Valentini
Giorgio Valentini is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics, having authored 127 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (47 papers), Gene expression and cancer classification (45 papers) and Machine Learning in Bioinformatics (24 papers). The work is most often cited by research in Artificial Intelligence (826 citations), Process Chemistry and Technology (50 citations) and Computer Vision and Pattern Recognition (350 citations). Giorgio Valentini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Matteo Ré, Thomas G. Dietterich, Alberto Bertoni, Claudia Antonetti, Domenico Licursi, Peter N. Robinson, Francesco Masulli, Sara Fulignati, Nicolò Cesa‐Bianchi and Oleg Okun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.
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.