Luca Pieroni

75 papers receiving 1.4k citations

Hit Papers

Government Spending, Corruption and Economic Growth2016202620192022201650100150200250

Peers

Luca Pieroni
Comparison fields: 5 of 110
  • Economics and Econometrics 895
  • Sociology and Political Science 396
  • Information Systems 194
  • General Economics, Econometrics and Finance 153
  • General Health Professions 140
Replace João Pedro Azevedo with:
João Pedro Azevedo United States
Rana Ejaz Ali Khan Pakistan
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Carl‐Johan Dalgaard Denmark
Erwin R. Tiongson United States
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Marijn Verhoeven United States
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Citations per field
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Citations per year

Countries citing papers authored by Luca Pieroni

Since Specialization
Citations

This map shows the geographic impact of Luca Pieroni'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 Luca Pieroni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Pieroni more than expected).

Fields of papers citing papers by Luca Pieroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Pieroni. 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 Luca Pieroni. The network helps show where Luca Pieroni may publish in the future.

Co-authorship network of co-authors of Luca Pieroni

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Pieroni. A scholar is included among the top collaborators of Luca Pieroni 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 Luca Pieroni. Luca Pieroni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 78
4
Regularization of Immigrants and Fertility in Italy
1
5
Further evidence of the relationship between social transfers and income inequality in OECD countries
1
6 62
7 6
8 11
9 12
10
Revisiting the relationship between welfare spending and income inequality in OECD countries
3
11 9
12 16
13
Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator
1
14 14
15
Inverse probability weighting to estimate causal effects of sequential treatments: a latent class extension to deal with unobserved confounding
1
16 8
17
Localizzazione geografica delle innovazioni e mercato del lavoro
1
18
Estimating the Role of Government Expenditure in Long-run Consumption
2
19
Analisi fondamentale di mercato con aspettative razionali: un modello per il mercato delle materie prime
0
20 56

About Luca Pieroni

Luca Pieroni is a scholar working on Economics and Econometrics, Health and General Economics, Econometrics and Finance, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fiscal Policy and Economic Growth (21 papers), Defense, Military, and Policy Studies (13 papers) and Economic Growth and Productivity (10 papers). The work is most often cited by research in Economics and Econometrics (895 citations), General Economics, Econometrics and Finance (153 citations) and Sociology and Political Science (396 citations). Luca Pieroni has collaborated with scholars based in Italy, South Africa and United Kingdom. Frequent co-authors include Giorgio d’Agostino, J. Paul Dunne, David Aristei, Luca Salmasi, Lucia Mangiavacchi, Federico Perali, Luca Piccoli, Bruno Romano, Marco Fornaciari and Liliana Minelli. Their work appears in journals such as Social Science & Medicine, World Development and International Journal of Environmental Research and Public Health.

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.

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