Claudia Biancotti
- Economics and Econometrics top 2%
- General Economics, Econometrics and Finance top 2%
- Finance top 5%
- Accounting top 10%
- Sociology and Political Science
- Co-authors
- Leandro D’AurizioClaudio ImpennaLuca ArcieroGiovanni D’AlessioAndrea NeriGiovanni VeroneseAlfonso RosoliaGennaro Ilardi
- Topics
- Italy: Economic History and Contemporary Issues (4 papers)Income, Poverty, and Inequality (3 papers)COVID-19 epidemiological studies (2 papers)
In The Last Decade
Claudia Biancotti
16 papers receiving 759 citations
Peers
Comparison fields: 5 of 56
- Economics and Econometrics 653
- General Economics, Econometrics and Finance 270
- Finance 234
- Accounting 76
- Sociology and Political Science 64
Countries citing papers authored by Claudia Biancotti
This map shows the geographic impact of Claudia Biancotti'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 Claudia Biancotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudia Biancotti more than expected).
Fields of papers citing papers by Claudia Biancotti
This network shows the impact of papers produced by Claudia Biancotti. 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 Claudia Biancotti. The network helps show where Claudia Biancotti may publish in the future.
Co-authorship network of co-authors of Claudia Biancotti
This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Biancotti. A scholar is included among the top collaborators of Claudia Biancotti 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 Claudia Biancotti. Claudia Biancotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Covid-19 and official statistics: a wakeup call? | 1 |
| 5 | 11 | |
| 6 | 1 | |
| 7 | Opening Internet Monopolies to Competition with Data Sharing Mandates | 0 |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | Exploring agent-based methods for the analysis of payment systems: A crisis model for StarLogo TNG | 122 |
| 13 | 26 | |
| 14 | 203 | |
| 15 | 217 | |
| 16 | 19 | |
| 17 | 17 | |
| 18 | 145 | |
| 19 | 0 |
About Claudia Biancotti
Claudia Biancotti is a scholar working on Modeling and Simulation, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 19 papers that have together received 775 indexed citations. Recurring topics across this work include Italy: Economic History and Contemporary Issues (4 papers), Income, Poverty, and Inequality (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (270 citations), Economics and Econometrics (653 citations) and Finance (234 citations). Claudia Biancotti has collaborated with scholars based in Italy, Austria and Germany. Frequent co-authors include Leandro D’Aurizio, Claudio Impenna, Luca Arciero, Giovanni D’Alessio, Andrea Neri, Giovanni Veronese, Alfonso Rosolia, Gennaro Ilardi, Stefano Ceri and Emanuel Sallinger. Their work appears in journals such as Data & Knowledge Engineering, Review of Income and Wealth and The Journal of Economic Inequality.
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.