Michelangelo Puliga
- Economics and Econometrics top 2%
- Finance top 2%
- Statistical and Nonlinear Physics top 2%
- Sociology and Political Science top 10%
- Global and Planetary Change top 10%
- Co-authors
- Guido CaldarelliStefano BattistonPaolo TascaRoberto DeiddaAlessandro ChessaAndreas LangousisAntonios MamalakisMilena Lopreite
- Topics
- Complex Network Analysis Techniques (9 papers)Complex Systems and Time Series Analysis (8 papers)Misinformation and Its Impacts (7 papers)
- Partner nations
- ItalyUnited KingdomBelgium
In The Last Decade
Michelangelo Puliga
27 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Economics and Econometrics 511
- Finance 433
- Statistical and Nonlinear Physics 300
- Sociology and Political Science 234
- Global and Planetary Change 157
Countries citing papers authored by Michelangelo Puliga
This map shows the geographic impact of Michelangelo Puliga'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 Michelangelo Puliga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelangelo Puliga more than expected).
Fields of papers citing papers by Michelangelo Puliga
This network shows the impact of papers produced by Michelangelo Puliga. 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 Michelangelo Puliga. The network helps show where Michelangelo Puliga may publish in the future.
Co-authorship network of co-authors of Michelangelo Puliga
This figure shows the co-authorship network connecting the top 25 collaborators of Michelangelo Puliga. A scholar is included among the top collaborators of Michelangelo Puliga 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 Michelangelo Puliga. Michelangelo Puliga 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 | 0 | |
| 3 | 16 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | The Global Health Networks: A Comparative Analysis of Tuberculosis, Malaria and Pneumonia Using Social Media Data | 1 |
| 10 | 28 | |
| 11 | 10 | |
| 12 | 153 | |
| 13 | 31 | |
| 14 | 38 | |
| 15 | Reconstructing topological properties of complex networks from partial information using the Fitness Model | 1 |
| 16 | 3 | |
| 17 | 39 | |
| 18 | 57 | |
| 19 | 25 | |
| 20 | DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Riskbreakdown → | 530 |
About Michelangelo Puliga
Michelangelo Puliga is a scholar working on Statistical and Nonlinear Physics, Finance and Communication, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Complex Systems and Time Series Analysis (8 papers) and Misinformation and Its Impacts (7 papers). The work is most often cited by research in Finance (433 citations), Statistical and Nonlinear Physics (300 citations) and Communication (147 citations). Michelangelo Puliga has collaborated with scholars based in Italy, United Kingdom and Belgium. Frequent co-authors include Guido Caldarelli, Stefano Battiston, Paolo Tasca, Roberto Deidda, Alessandro Chessa, Andreas Langousis, Antonios Mamalakis, Milena Lopreite, Andrea Gabrielli and Fabio Pammolli. Their work appears in journals such as PLoS ONE, Scientific Reports and Water Resources Research.
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.