Ilenia Epifani
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Statistics and Probability top 5%
- Building and Construction top 10%
- Co-authors
- Carlo GhezziGiordano TamburrelliRaffaela MirandolaDrury B. CrawleyDanny ParkerDelia D’AgostinoLinda K. LawrieFederico Maggi
- Topics
- Bayesian Methods and Mixture Models (5 papers)Economic and Environmental Valuation (3 papers)Regional Economics and Spatial Analysis (3 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Ilenia Epifani
24 papers receiving 539 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 287
- Computer Networks and Communications 117
- Information Systems 112
- Statistics and Probability 95
- Building and Construction 91
Countries citing papers authored by Ilenia Epifani
This map shows the geographic impact of Ilenia Epifani'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 Ilenia Epifani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilenia Epifani more than expected).
Fields of papers citing papers by Ilenia Epifani
This network shows the impact of papers produced by Ilenia Epifani. 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 Ilenia Epifani. The network helps show where Ilenia Epifani may publish in the future.
Co-authorship network of co-authors of Ilenia Epifani
This figure shows the co-authorship network connecting the top 25 collaborators of Ilenia Epifani. A scholar is included among the top collaborators of Ilenia Epifani 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 Ilenia Epifani. Ilenia Epifani 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 | 19 | |
| 3 | 5 | |
| 4 | 102 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 58 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 167 | |
| 16 | 7 | |
| 17 | Some new results on random Dirichlet variances | 4 |
| 18 | 23 | |
| 19 | 1 | |
| 20 | Some considerations on a version of the law of the iterated logarithm due to F. P. Cantelli | 0 |
About Ilenia Epifani
Ilenia Epifani is a scholar working on Statistics and Probability, Numerical Analysis and Mathematical Physics, having authored 26 papers that have together received 558 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (5 papers), Economic and Environmental Valuation (3 papers) and Regional Economics and Spatial Analysis (3 papers). The work is most often cited by research in Software (75 citations), Statistics and Probability (95 citations) and Artificial Intelligence (287 citations). Ilenia Epifani has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Carlo Ghezzi, Giordano Tamburrelli, Raffaela Mirandola, Drury B. Crawley, Danny Parker, Delia D’Agostino, Linda K. Lawrie, Federico Maggi, Michele Carminati and Stefano Zanero. Their work appears in journals such as Journal of the American Statistical Association, Chemosphere and Biometrika.
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.