Matteo Paradisi
- Economics and Econometrics top 10%
- Political Science and International Relations top 10%
- General Economics, Econometrics and Finance top 10%
- Finance
- Sociology and Political Science
- Co-authors
- Alberto AlesinaFrancesco GiavazziCarlo A. FaveroOmar BarbieroGianluca RinaldiJin LiMichael Powell
- Topics
- Labor market dynamics and wage inequality (6 papers)Retirement, Disability, and Employment (4 papers)Fiscal Policies and Political Economy (3 papers)
- Cited by
- Economics and EconometricsGeneral Economics, Econometrics and FinancePolitical Science and International Relations
- Partner nations
- United StatesItalyCanada
In The Last Decade
Matteo Paradisi
7 papers receiving 147 citations
Peers
Comparison fields: 5 of 28
- Economics and Econometrics 126
- Political Science and International Relations 57
- General Economics, Econometrics and Finance 34
- Finance 24
- Sociology and Political Science 17
Countries citing papers authored by Matteo Paradisi
This map shows the geographic impact of Matteo Paradisi'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 Matteo Paradisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Paradisi more than expected).
Fields of papers citing papers by Matteo Paradisi
This network shows the impact of papers produced by Matteo Paradisi. 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 Matteo Paradisi. The network helps show where Matteo Paradisi may publish in the future.
Co-authorship network of co-authors of Matteo Paradisi
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Paradisi. A scholar is included among the top collaborators of Matteo Paradisi 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 Matteo Paradisi. Matteo Paradisi 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 | 11 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 5 | |
| 9 | 67 | |
| 10 | The composition of fiscal adjustments:new evidence ∗ | 1 |
| 11 | 57 |
About Matteo Paradisi
Matteo Paradisi is a scholar working on Economics and Econometrics, Demography and General Economics, Econometrics and Finance, having authored 11 papers that have together received 154 indexed citations. Recurring topics across this work include Labor market dynamics and wage inequality (6 papers), Retirement, Disability, and Employment (4 papers) and Fiscal Policies and Political Economy (3 papers). The work is most often cited by research in Economics and Econometrics (126 citations), General Economics, Econometrics and Finance (34 citations) and Political Science and International Relations (57 citations). Matteo Paradisi has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Alberto Alesina, Francesco Giavazzi, Carlo A. Favero, Omar Barbiero, Gianluca Rinaldi, Jin Li and Michael Powell. Their work appears in journals such as The Review of Economic Studies, Economic Policy and Economics and Politics.
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.