Luisa Corrado
- Economics and Econometrics top 2%
- Sociology and Political Science top 10%
- General Economics, Econometrics and Finance top 5%
- Social Psychology top 10%
- Finance top 5%
- Co-authors
- B. FingletonGermana CorradoAlessandra PelloniJagjit S. ChadhaSean HollyLeonardo BecchettiEmiliano SantoroFiammetta Rossetti
- Topics
- Regional Economics and Spatial Analysis (20 papers)Spatial and Panel Data Analysis (17 papers)Monetary Policy and Economic Impact (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Statistical AssociationJournal of Cleaner Production
- Partner nations
- ItalyUnited KingdomIreland
In The Last Decade
Luisa Corrado
66 papers receiving 994 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Economics and Econometrics 640
- Sociology and Political Science 163
- General Economics, Econometrics and Finance 102
- Social Psychology 101
- Finance 99
Countries citing papers authored by Luisa Corrado
This map shows the geographic impact of Luisa Corrado'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 Luisa Corrado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luisa Corrado more than expected).
Fields of papers citing papers by Luisa Corrado
This network shows the impact of papers produced by Luisa Corrado. 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 Luisa Corrado. The network helps show where Luisa Corrado may publish in the future.
Co-authorship network of co-authors of Luisa Corrado
This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Corrado. A scholar is included among the top collaborators of Luisa Corrado 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 Luisa Corrado. Luisa Corrado 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 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 141 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 10 | |
| 16 | WHERE IS THE ECONOMICS IN SPATIAL ECONOMETRICS?*breakdown → | 353 |
| 17 | 18 | |
| 18 | Habit Formation and Interest Rate Smoothing | 6 |
| 19 | The Welfare States in a United Europe | 11 |
| 20 | 1 |
About Luisa Corrado
Luisa Corrado is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 72 papers that have together received 1.0k indexed citations. Recurring topics across this work include Regional Economics and Spatial Analysis (20 papers), Spatial and Panel Data Analysis (17 papers) and Monetary Policy and Economic Impact (12 papers). The work is most often cited by research in Economics and Econometrics (640 citations), General Economics, Econometrics and Finance (102 citations) and Finance (99 citations). Luisa Corrado has collaborated with scholars based in Italy, United Kingdom and Ireland. Frequent co-authors include B. Fingleton, Germana Corrado, Alessandra Pelloni, Jagjit S. Chadha, Sean Holly, Leonardo Becchetti, Emiliano Santoro, Fiammetta Rossetti, Ron Martin and Jack Meaning. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Journal of Cleaner Production.
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.