Andrea Ongaro
- Molecular Biology
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Co-authors
- Sonia MiglioratiDonald FitzmauriceDaniela IacopinoLorraine C. NagleRamón EritjaNils Lid HjortGareth RedmondPaul Beecher
- Topics
- Bayesian Methods and Mixture Models (17 papers)Advanced biosensing and bioanalysis techniques (9 papers)Molecular Junctions and Nanostructures (6 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaChemistry of Materials
In The Last Decade
Andrea Ongaro
30 papers receiving 345 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 159
- Artificial Intelligence 109
- Statistics and Probability 85
- Electrical and Electronic Engineering 69
- Biomedical Engineering 62
Countries citing papers authored by Andrea Ongaro
This map shows the geographic impact of Andrea Ongaro'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 Andrea Ongaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Ongaro more than expected).
Fields of papers citing papers by Andrea Ongaro
This network shows the impact of papers produced by Andrea Ongaro. 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 Andrea Ongaro. The network helps show where Andrea Ongaro may publish in the future.
Co-authorship network of co-authors of Andrea Ongaro
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Ongaro. A scholar is included among the top collaborators of Andrea Ongaro 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 Andrea Ongaro. Andrea Ongaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 29 | |
| 8 | 11 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 84 | |
| 14 | 13 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | 22 | |
| 18 | On the Distribution of Random Dirichlet Jumps | 3 |
| 19 | 18 | |
| 20 | 13 |
About Andrea Ongaro
Andrea Ongaro is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 354 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (17 papers), Advanced biosensing and bioanalysis techniques (9 papers) and Molecular Junctions and Nanostructures (6 papers). The work is most often cited by research in Statistics and Probability (85 citations), Artificial Intelligence (109 citations) and Molecular Biology (159 citations). Andrea Ongaro has collaborated with scholars based in Italy, Ireland and Spain. Frequent co-authors include Sonia Migliorati, Donald Fitzmaurice, Daniela Iacopino, Lorraine C. Nagle, Ramón Eritja, Nils Lid Hjort, Gareth Redmond, Paul Beecher, Aidan J. Quinn and Gianna Serafina Monti. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and Chemistry of Materials.
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.