Valeria Vitelli
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Neurology
- Statistics and Probability top 5%
- Co-authors
- Enrico ZioPiercesare SecchiSimone VantiniRonay AkRédouane SeraouiJie LiuLaura M. SangalliYan‐Fu Li
- Topics
- Fault Detection and Control Systems (5 papers)Statistical Methods and Inference (5 papers)Bayesian Methods and Mixture Models (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
In The Last Decade
Valeria Vitelli
43 papers receiving 875 citations
Peers
Comparison fields: 5 of 147
- Artificial Intelligence 253
- Electrical and Electronic Engineering 124
- Control and Systems Engineering 106
- Neurology 89
- Statistics and Probability 83
Countries citing papers authored by Valeria Vitelli
This map shows the geographic impact of Valeria Vitelli'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 Valeria Vitelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria Vitelli more than expected).
Fields of papers citing papers by Valeria Vitelli
This network shows the impact of papers produced by Valeria Vitelli. 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 Valeria Vitelli. The network helps show where Valeria Vitelli may publish in the future.
Co-authorship network of co-authors of Valeria Vitelli
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria Vitelli. A scholar is included among the top collaborators of Valeria Vitelli 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 Valeria Vitelli. Valeria Vitelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 11 | |
| 8 | 36 | |
| 9 | 15 | |
| 10 | 92 | |
| 11 | 24 | |
| 12 | Bayesian inference from rank data | 1 |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | Nuclear power plant components condition monitoring by probabilistic support vector machine | 4 |
| 17 | 3 | |
| 18 | 50 | |
| 19 | 60 | |
| 20 | 15 |
About Valeria Vitelli
Valeria Vitelli is a scholar working on Statistics and Probability, General Decision Sciences and Immunology and Allergy, having authored 46 papers that have together received 901 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (5 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (83 citations), Artificial Intelligence (253 citations) and Signal Processing (75 citations). Valeria Vitelli has collaborated with scholars based in Norway, Italy and France. Frequent co-authors include Enrico Zio, Piercesare Secchi, Simone Vantini, Ronay Ak, Rédouane Seraoui, Jie Liu, Laura M. Sangalli, Yan‐Fu Li, Francesca Ieva and Anna Maria Paganoni. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.