Paola Vicard
- Artificial Intelligence top 10%
- Genetics
- Management Science and Operations Research top 10%
- Statistics and Probability top 10%
- Molecular Biology
- Co-authors
- Julia MorteraA. P. DawidMaria Francesca RenziRoberta Guglielmetti MugionIoannis NtzoufrasLaura Di PietroSteffen L. LauritzenMauro Scanu
- Topics
- Bayesian Modeling and Causal Inference (16 papers)Statistical Methods and Bayesian Inference (8 papers)Bayesian Methods and Mixture Models (4 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchArtificial Intelligence
- Journals
- Expert Systems with ApplicationsBiometrikaTransportation Research Part A Policy and Practice
- Partner nations
- ItalyUnited KingdomGreece
In The Last Decade
Paola Vicard
29 papers receiving 228 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 106
- Genetics 65
- Management Science and Operations Research 52
- Statistics and Probability 39
- Molecular Biology 31
Countries citing papers authored by Paola Vicard
This map shows the geographic impact of Paola Vicard'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 Paola Vicard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Vicard more than expected).
Fields of papers citing papers by Paola Vicard
This network shows the impact of papers produced by Paola Vicard. 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 Paola Vicard. The network helps show where Paola Vicard may publish in the future.
Co-authorship network of co-authors of Paola Vicard
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Vicard. A scholar is included among the top collaborators of Paola Vicard 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 Paola Vicard. Paola Vicard 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 | 8 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Network modeling the bike-sharing intention: an empirical analysis of non user needings | 1 |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 19 | |
| 10 | Monitoring and Improving Greek Banking Services Using Bayesian Networks: an Analysis of Mystery Shopping Data | 1 |
| 11 | 19 | |
| 12 | Un modello di valutazione della qualità basato su sistemi esperti probabilistici | 2 |
| 13 | 51 | |
| 14 | Multivariate techniques for imputation based on Bayesian networks | 11 |
| 15 | 2 | |
| 16 | 17 | |
| 17 | Estimation of mutation rates from paternity cases using a Bayesian network | 2 |
| 18 | New statistical approaches for estimating mutation parameters | 1 |
| 19 | A proposal for the use of graphical representation in official statistics | 1 |
| 20 | 14 |
About Paola Vicard
Paola Vicard is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research, having authored 31 papers that have together received 241 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (16 papers), Statistical Methods and Bayesian Inference (8 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (39 citations), Management Science and Operations Research (52 citations) and Artificial Intelligence (106 citations). Paola Vicard has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Julia Mortera, A. P. Dawid, Maria Francesca Renzi, Roberta Guglielmetti Mugion, Ioannis Ntzoufras, Laura Di Pietro, Steffen L. Lauritzen, Mauro Scanu, Giulia Sacco and Clelia Di Serio. Their work appears in journals such as Expert Systems with Applications, Biometrika and Transportation Research Part A Policy and Practice.
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.