Maria Luisa Petit
- Economics and Econometrics top 2%
- Economic theories and models 5
- Economic Growth and Productivity 3
- Climate Change Policy and Economics 2
- Fiscal Policies and Political Economy 2
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- Economic Theory and Policy 3
- Monetary Policy and Economic Impact 3
- Global trade and economics 3
- Modeling and Simulation top 5%
- Finance top 5%
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- International Business and FDI 3
- Co-authors
- Boleslaw TolwinskiF Sanna-RandaccioAndrew Hughes HallettPaul A. LevineMarco A. MariniGiancarlo GandolfoRoland J. Fuchs
- Cited by
- Economics and EconometricsGeneral Economics, Econometrics and FinanceModeling and Simulation
In The Last Decade
Maria Luisa Petit
13 papers receiving 765 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Economics and Econometrics 452
- General Economics, Econometrics and Finance 132
- Modeling and Simulation 68
- Management Science and Operations Research 154
- Finance 112
Countries citing papers authored by Maria Luisa Petit
This map shows the geographic impact of Maria Luisa Petit'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 Maria Luisa Petit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Luisa Petit more than expected).
Fields of papers citing papers by Maria Luisa Petit
This network shows the impact of papers produced by Maria Luisa Petit. 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 Maria Luisa Petit. The network helps show where Maria Luisa Petit may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Maria Luisa Petit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 13 | |
| 2 | 2011 | 9 | |
| 3 | 2011 | 1 | |
| 4 | 2009 | 9 | |
| 5 | 1999 | 65 | |
| 6 | 1998 | 22 | |
| 7 | 1997 | 21 | |
| 8 | Dynamic optimization. The calculus of variations and optimal control in economics and managementbreakdown → | 1994 | 634 |
| 9 | 1992 | 18 | |
| 10 | 1990 | 18 | |
| 11 | 1989 | 34 | |
| 12 | Optimization in Continuous Time and Policy Design in the Italian Economy | 1987 | 1 |
| 13 | 1986 | 0 | |
| 14 | 1983 | 9 | |
| 15 | Three-pool analysis for quality control: a method for daily differentiation of analytic error from random variability. | 1981 | 1 |
About Maria Luisa Petit
Maria Luisa Petit is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 15 papers that have together received 855 indexed citations. Recurring topics across this work include Economic theories and models (5 papers), Economic Growth and Productivity (3 papers), Economic Theory and Policy (3 papers), Monetary Policy and Economic Impact (3 papers), International Business and FDI (3 papers), Global trade and economics (3 papers), Climate Change Policy and Economics (2 papers) and Fiscal Policies and Political Economy (2 papers). The work is most often cited by research in Economics and Econometrics (452 citations), General Economics, Econometrics and Finance (132 citations) and Modeling and Simulation (68 citations). Maria Luisa Petit has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Boleslaw Tolwinski, F Sanna-Randaccio, Andrew Hughes Hallett, Paul A. Levine, Marco A. Marini, Giancarlo Gandolfo and Roland J. Fuchs. Their work appears in journals such as Economics of Innovation and New Technology, The Economic Journal, Journal of Economic Dynamics and Control, Journal of Economics and International Journal of Industrial Organization.
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.