Mauro Caselli
Impact in
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- Global trade and economics
- Economics and Econometrics top 5%
- Firm Innovation and Growth
- Labor market dynamics and wage inequality
- Sports Analytics and Performance
Papers in
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- Firm Innovation and Growth 7
- Labor market dynamics and wage inequality 4
- Sports Analytics and Performance 4
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- Media Influence and Politics 3
- Co-authors
- Andrea Fracasso (10 shared papers)Silvio Traverso (4 shared papers)Sergio Scicchitano (7 shared papers)Paolo Falco (6 shared papers)Stefano Schiavo (4 shared papers)Lionel Nesta (2 shared papers)Arpita Chatterjee (4 shared papers)Alan D. Woodland (3 shared papers)
In The Last Decade
Mauro Caselli
27 papers receiving 280 citations
Peers
Comparison fields: 5 of 59
- General Economics, Econometrics and Finance 82
- Economics and Econometrics 157
- Modeling and Simulation 23
- Strategy and Management 49
- Gender Studies 21
Countries citing papers authored by Mauro Caselli
This map shows the geographic impact of Mauro Caselli'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 Mauro Caselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauro Caselli more than expected).
Fields of papers citing papers by Mauro Caselli
This network shows the impact of papers produced by Mauro Caselli. 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 Mauro Caselli. The network helps show where Mauro Caselli may publish in the future.
Co-authors
The 14 scholars most cited alongside Mauro Caselli, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 37 | |
| 2 | 2020 | 31 | |
| 3 | 2021 | 30 | |
| 4 | 2017 | 28 | |
| 5 | 2017 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2013 | 18 | |
| 8 | 2022 | 18 | |
| 9 | 2020 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2013 | 3 | |
| 20 | 2024 | 2 |
About Mauro Caselli
Mauro Caselli is a scholar working on Economics and Econometrics, Sociology and Political Science, General Economics, Econometrics and Finance, Strategy and Management and General Health Professions, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Global trade and economics (10 papers), Firm Innovation and Growth (7 papers), Employment and Welfare Studies (5 papers), Labor market dynamics and wage inequality (4 papers), Sports Analytics and Performance (4 papers), International Business and FDI (4 papers), Global Trade and Competitiveness (4 papers) and Media Influence and Politics (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (82 citations), Economics and Econometrics (157 citations), Modeling and Simulation (23 citations), Strategy and Management (49 citations) and Gender Studies (21 citations). Mauro Caselli has collaborated with scholars based in Italy, France and Australia. Frequent co-authors include Andrea Fracasso, Silvio Traverso, Sergio Scicchitano, Paolo Falco, Stefano Schiavo, Lionel Nesta, Arpita Chatterjee, Alan D. Woodland, Michele Callea and Gabriela Piana. Their work appears in journals such as Economics Letters, Journal of Population Economics, Economics and Politics, European Journal of Political Economy and Journal of Regional Science.
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.