Francesco Lagona
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Statistics and Probability top 5%
- Environmental Engineering top 10%
- Demography top 5%
- Co-authors
- Marco PiconeAntonello MaruottiJames W. VaupelElisabetta BarbiFabio PadovanoKenneth W. WachterDaniel A. GriffithJan Bulla
- Topics
- Bayesian Methods and Mixture Models (15 papers)Financial Risk and Volatility Modeling (7 papers)Statistical Methods and Bayesian Inference (6 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Francesco Lagona
42 papers receiving 533 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 165
- Economics and Econometrics 123
- Statistics and Probability 90
- Environmental Engineering 78
- Demography 76
Countries citing papers authored by Francesco Lagona
This map shows the geographic impact of Francesco Lagona'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 Francesco Lagona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Lagona more than expected).
Fields of papers citing papers by Francesco Lagona
This network shows the impact of papers produced by Francesco Lagona. 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 Francesco Lagona. The network helps show where Francesco Lagona may publish in the future.
Co-authorship network of co-authors of Francesco Lagona
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Lagona. A scholar is included among the top collaborators of Francesco Lagona 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 Francesco Lagona. Francesco Lagona 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 | 1 | |
| 3 | 6 | |
| 4 | 15 | |
| 5 | 127 | |
| 6 | Il ciclo politico-legislativo italiano dal 1948 ad oggi | 1 |
| 7 | 3 | |
| 8 | 15 | |
| 9 | Environmental conditions in semi-enclosed basins: A dynamic latent class approach for mixed-type multivariate variables | 5 |
| 10 | 17 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | 20 | |
| 18 | 1 | |
| 19 | Parametric Restrictions in Random Fields for Binary Space-time Data Series | 1 |
| 20 | Interaction Levels in an Autoregressive Graphical Model | 1 |
About Francesco Lagona
Francesco Lagona is a scholar working on Aging, Statistics and Probability and Finance, having authored 43 papers that have together received 565 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Financial Risk and Volatility Modeling (7 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Aging (53 citations), Statistics and Probability (90 citations) and Health (56 citations). Francesco Lagona has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Marco Picone, Antonello Maruotti, James W. Vaupel, Elisabetta Barbi, Fabio Padovano, Kenneth W. Wachter, Daniel A. Griffith, Jan Bulla, Dmitri A. Jdanov and M. А. Shkolnikova. Their work appears in journals such as Science, 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.