Fabio Verona
Impact in
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- Monetary Policy and Economic Impact
- Economic Theory and Policy
- Finance top 5%
- Banking stability, regulation, efficiency
- Financial Markets and Investment Strategies
- Global Financial Crisis and Policies
- Financial Risk and Volatility Modeling
Papers in
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- Monetary Policy and Economic Impact 17
- Economic Theory and Policy 7
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- Economic theories and models 11
- Market Dynamics and Volatility 6
- Complex Systems and Time Series Analysis 6
- Co-authors
- Manuel M. F. Martins (9 shared papers)Inês Drumond (6 shared papers)Thomas A. Lubik (3 shared papers)Christian Matthes (3 shared papers)Juha Kilponen (4 shared papers)Maik H. Wolters (1 shared paper)
In The Last Decade
Fabio Verona
27 papers receiving 261 citations
Peers
Comparison fields: 5 of 32
- General Economics, Econometrics and Finance 143
- Finance 165
- Economics and Econometrics 190
- General Energy 3
- Management Science and Operations Research 35
Countries citing papers authored by Fabio Verona
This map shows the geographic impact of Fabio Verona'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 Fabio Verona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabio Verona more than expected).
Fields of papers citing papers by Fabio Verona
This network shows the impact of papers produced by Fabio Verona. 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 Fabio Verona. The network helps show where Fabio Verona may publish in the future.
Co-authors
The 6 scholars most cited alongside Fabio Verona, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2016 | 47 | |
| 3 | 2013 | 40 | |
| 4 | 2019 | 31 | |
| 5 | 2017 | 27 | |
| 6 | 2019 | 18 | |
| 7 | 2014 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 6 | |
| 10 | 2017 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2018 | 3 | |
| 14 | The Aino 2.0 model | 2016 | 2 |
| 15 | 2013 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2014 | 2 | |
| 20 | 2022 | 1 |
About Fabio Verona
Fabio Verona is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Management Science and Operations Research and Accounting, having authored 30 papers that have together received 266 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (17 papers), Economic theories and models (11 papers), Economic Theory and Policy (7 papers), Financial Markets and Investment Strategies (6 papers), Market Dynamics and Volatility (6 papers), Complex Systems and Time Series Analysis (6 papers), Banking stability, regulation, efficiency (4 papers) and Stock Market Forecasting Methods (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (143 citations), Finance (165 citations), Economics and Econometrics (190 citations), General Energy (3 citations) and Management Science and Operations Research (35 citations). Fabio Verona has collaborated with scholars based in Finland, Portugal and Spain. Frequent co-authors include Manuel M. F. Martins, Inês Drumond, Thomas A. Lubik, Christian Matthes, Juha Kilponen and Maik H. Wolters. Their work appears in journals such as Economics Letters, Finance research letters, Oxford Bulletin of Economics and Statistics, Journal of Empirical Finance and Computational Economics.
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.