Michelangelo Puliga

2.0k total citations · 1 hit paper
29 papers, 1.3k citations indexed

About

Michelangelo Puliga is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Michelangelo Puliga has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 10 papers in Statistical and Nonlinear Physics and 9 papers in Sociology and Political Science. Recurrent topics in Michelangelo Puliga's work include Complex Network Analysis Techniques (9 papers), Complex Systems and Time Series Analysis (8 papers) and Misinformation and Its Impacts (7 papers). Michelangelo Puliga is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Complex Systems and Time Series Analysis (8 papers) and Misinformation and Its Impacts (7 papers). Michelangelo Puliga collaborates with scholars based in Italy, United Kingdom and Belgium. Michelangelo Puliga's co-authors include Guido Caldarelli, Stefano Battiston, Paolo Tasca, Roberto Deidda, Alessandro Chessa, Andreas Langousis, Antonios Mamalakis, Milena Lopreite, Andrea Gabrielli and Fabio Pammolli and has published in prestigious journals such as PLoS ONE, Scientific Reports and Water Resources Research.

In The Last Decade

Michelangelo Puliga

27 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

2012 530 citations Stefano Battiston, Michelangelo Puliga et al. Scientific Reports profile →

Peers

Michelangelo Puliga

FINAN

SNP

SPS

GPC

Faheem Aslam Pakistan

Nassim Nicholas Taleb United States

Matthieu Cristelli Italy

Antti Kanto Finland

Arthur Charpentier France

Amanda M. Y. Chu Hong Kong

Asim Ghosh India

Fabio Caccioli United Kingdom

Taylor Shelton United States

Hernane Borges de Barros Pereira Brazil

Faheem Aslam Pakistan

Michelangelo Puliga

990 ×1.9

383 ×0.9

FINAN

84 ×0.3

SNP

182 ×0.8

SPS

76 ×0.5

GPC

Citations per year, relative to Michelangelo Puliga Michelangelo Puliga (= 1×) peers Faheem Aslam

Countries citing papers authored by Michelangelo Puliga

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Lopreite, Milena, Michelangelo Misuraca, & Michelangelo Puliga. (2024). Outbreak and integration of social media in public health surveillance systems: A policy review through BERT embedding technique. Socio-Economic Planning Sciences. 95. 101995–101995. 1 indexed citations

Giancotti, Monica, Milena Lopreite, Marianna Mauro, & Michelangelo Puliga. (2024). Innovating health prevention models in detecting infectious disease outbreaks through social media data: an umbrella review of the evidence. Frontiers in Public Health. 12. 1435724–1435724.

Lopreite, Milena, Michelangelo Misuraca, & Michelangelo Puliga. (2023). An analysis of the thematic evolution of ageing and healthcare expenditure using word embedding: A scoping review of policy implications. Socio-Economic Planning Sciences. 87. 101600–101600. 16 indexed citations

Rosis, Sabina De, Milena Lopreite, Michelangelo Puliga, & Milena Vainieri. (2023). Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy. Socio-Economic Planning Sciences. 87. 101610–101610. 3 indexed citations

Leo, V. De, et al.. (2023). Topic detection with recursive consensus clustering and semantic enrichment. Humanities and Social Sciences Communications. 10(1). 4 indexed citations

Rosis, Sabina De, Milena Lopreite, Michelangelo Puliga, & Milena Vainieri. (2021). The early weeks of the Italian Covid-19 outbreak: sentiment insights from a Twitter analysis. Health Policy. 125(8). 987–994. 21 indexed citations

Lopreite, Milena, Michelangelo Puliga, Massimo Riccaboni, & Sabina De Rosis. (2021). A social network analysis of the organizations focusing on tuberculosis, malaria and pneumonia. Social Science & Medicine. 278. 113940–113940. 5 indexed citations

Giancotti, Monica, Milena Lopreite, Marianna Mauro, & Michelangelo Puliga. (2021). The role of European health system characteristics in affecting Covid 19 lethality during the early days of the pandemic. Scientific Reports. 11(1). 23739–23739. 5 indexed citations

Lopreite, Milena, Michelangelo Puliga, & Massimo Riccaboni. (2018). The Global Health Networks: A Comparative Analysis of Tuberculosis, Malaria and Pneumonia Using Social Media Data. RePEc: Research Papers in Economics. 1 indexed citations

10.

Brancaccio, Emiliano, et al.. (2018). Centralization of capital and financial crisis: A global network analysis of corporate control. Structural Change and Economic Dynamics. 45. 94–104. 28 indexed citations

11.

Puliga, Michelangelo, Andrea Flori, Giuseppe Pappalardo, Alessandro Chessa, & Fabio Pammolli. (2016). The Accounting Network: How Financial Institutions React to Systemic Crisis. PLoS ONE. 11(10). e0162855–e0162855. 10 indexed citations

12.

Bessi, Alessandro, Fabiana Zollo, Michela Del Vicario, et al.. (2016). Users Polarization on Facebook and Youtube. PLoS ONE. 11(8). e0159641–e0159641. 153 indexed citations

13.

Zhu, Zhen, et al.. (2015). Global Value Trees. PLoS ONE. 10(5). e0126699–e0126699. 31 indexed citations

14.

Eom, Young-Ho, Michelangelo Puliga, Jasmina Smailović, Igor Mozetič, & Guido Caldarelli. (2015). Twitter-Based Analysis of the Dynamics of Collective Attention to Political Parties. PLoS ONE. 10(7). e0131184–e0131184. 38 indexed citations

15.

Gabrielli, Andrea, et al.. (2014). Reconstructing topological properties of complex networks from partial information using the Fitness Model. Bulletin of the American Physical Society. 2014. 1 indexed citations

16.

Popović, Marko, Hrvoje Štefančić, Borut Sluban, et al.. (2014). Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources. PLoS ONE. 9(12). e99515–e99515. 3 indexed citations

17.

Puliga, Michelangelo, Guido Caldarelli, & Stefano Battiston. (2014). Credit Default Swaps networks and systemic risk. Scientific Reports. 4(1). 6822–6822. 39 indexed citations

18.

Caldarelli, Guido, et al.. (2014). A Multi-Level Geographical Study of Italian Political Elections from Twitter Data. PLoS ONE. 9(5). e95809–e95809. 57 indexed citations

19.

Puliga, Michelangelo, et al.. (2014). Voting Behavior, Coalitions and Government Strength through a Complex Network Analysis. PLoS ONE. 9(12). e116046–e116046. 25 indexed citations

20.

Battiston, Stefano, et al.. (2012). DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk. Scientific Reports. 2(1). 541–541. 530 indexed citations breakdown →

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.

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