Antonio Punzo
- Artificial Intelligence top 2%
- Statistics and Probability top 0.5%
- Finance top 5%
- Economics and Econometrics top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Luca BagnatoAntonello MaruottiAngelo MazzaSalvatore IngrassiaSalvatore D. TomarchioPaul D. McNicholasSimona C. MinottiBrian E. McGuire
- Topics
- Bayesian Methods and Mixture Models (59 papers)Statistical Methods and Bayesian Inference (33 papers)Statistical Methods and Inference (26 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Antonio Punzo
85 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 661
- Statistics and Probability 660
- Finance 196
- Economics and Econometrics 165
- Management Science and Operations Research 146
Countries citing papers authored by Antonio Punzo
This map shows the geographic impact of Antonio Punzo'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 Antonio Punzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Punzo more than expected).
Fields of papers citing papers by Antonio Punzo
This network shows the impact of papers produced by Antonio Punzo. 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 Antonio Punzo. The network helps show where Antonio Punzo may publish in the future.
Co-authorship network of co-authors of Antonio Punzo
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Punzo. A scholar is included among the top collaborators of Antonio Punzo 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 Antonio Punzo. Antonio Punzo 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 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | Robust Clustering via Parsimonious Mixtures of Contaminated Gaussian Distributions | 2 |
| 17 | Rasch analysis for binary data with nonignorable nonresponses | 8 |
| 18 | Outlier Detection via Parsimonious Mixtures of Contaminated Gaussian Distributions | 5 |
| 19 | Estimation of relative growth rate of ten field-grown herbaceous species: the effects of LAR and NAR depend on time scale and type of analysis. | 1 |
| 20 | BETA KERNEL GRADUATION OF MORTALITY DATA IN R. AN APPLICATION TO THE ENNA PROVINCE | 0 |
About Antonio Punzo
Antonio Punzo is a scholar working on Statistics and Probability, Finance and Artificial Intelligence, having authored 93 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (59 papers), Statistical Methods and Bayesian Inference (33 papers) and Statistical Methods and Inference (26 papers). The work is most often cited by research in Statistics and Probability (660 citations), Artificial Intelligence (661 citations) and Finance (196 citations). Antonio Punzo has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Luca Bagnato, Antonello Maruotti, Angelo Mazza, Salvatore Ingrassia, Salvatore D. Tomarchio, Paul D. McNicholas, Simona C. Minotti, Brian E. McGuire, Giorgio Vittadini and Alessio Farcomeni. Their work appears in journals such as The Journal of Experimental Medicine, Scientific Reports and Statistics in Medicine.
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.