Valeria D’Amato
- Economics and Econometrics top 5%
- Demography top 2%
- General Health Professions top 10%
- Management Science and Operations Research top 5%
- Strategy and Management top 10%
- Co-authors
- Susanna LevantesiRita L. D’EcclesiaGabriella PiscopoSteven HabermanMarilena SibilloGabriele GuidiJ.‐A. BeraldinLorenzo Trapani
- Topics
- Insurance, Mortality, Demography, Risk Management (27 papers)Global Health Care Issues (20 papers)Insurance and Financial Risk Management (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica A Statistical Mechanics and its ApplicationsAnnals of Operations Research
- Partner nations
- ItalyUnited KingdomNetherlands
In The Last Decade
Valeria D’Amato
38 papers receiving 464 citations
Peers
Comparison fields: 5 of 81
- Economics and Econometrics 192
- Demography 186
- General Health Professions 170
- Management Science and Operations Research 105
- Strategy and Management 73
Countries citing papers authored by Valeria D’Amato
This map shows the geographic impact of Valeria D’Amato'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 D’Amato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valeria D’Amato more than expected).
Fields of papers citing papers by Valeria D’Amato
This network shows the impact of papers produced by Valeria D’Amato. 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 D’Amato. The network helps show where Valeria D’Amato may publish in the future.
Co-authorship network of co-authors of Valeria D’Amato
This figure shows the co-authorship network connecting the top 25 collaborators of Valeria D’Amato. A scholar is included among the top collaborators of Valeria D’Amato 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 D’Amato. Valeria D’Amato 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 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 38 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | Profit participation annuities: a business profitability analysis within a demographic risk sensitive approach | 1 |
| 19 | 27 | |
| 20 | Life office management perspectives by actuarial risk indexes | 1 |
About Valeria D’Amato
Valeria D’Amato is a scholar working on Demography, Management Science and Operations Research and Accounting, having authored 43 papers that have together received 492 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (27 papers), Global Health Care Issues (20 papers) and Insurance and Financial Risk Management (13 papers). The work is most often cited by research in Demography (186 citations), Management Science and Operations Research (105 citations) and Economics and Econometrics (192 citations). Valeria D’Amato has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Susanna Levantesi, Rita L. D’Ecclesia, Gabriella Piscopo, Steven Haberman, Marilena Sibillo, Gabriele Guidi, J.‐A. Beraldin, Lorenzo Trapani, Francesco Costantino and Grazia Tucci. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica A Statistical Mechanics and its Applications and Annals of Operations Research.
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.