Alessandro Spelta

1.3k total citations
59 papers, 880 citations indexed

About

Alessandro Spelta is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Finance. According to data from OpenAlex, Alessandro Spelta has authored 59 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Economics and Econometrics, 18 papers in Statistical and Nonlinear Physics and 12 papers in Finance. Recurrent topics in Alessandro Spelta's work include Complex Systems and Time Series Analysis (27 papers), Complex Network Analysis Techniques (16 papers) and Market Dynamics and Volatility (11 papers). Alessandro Spelta is often cited by papers focused on Complex Systems and Time Series Analysis (27 papers), Complex Network Analysis Techniques (16 papers) and Market Dynamics and Volatility (11 papers). Alessandro Spelta collaborates with scholars based in Italy, United States and Switzerland. Alessandro Spelta's co-authors include Paolo Giudici, Andrea Flori, Fabio Pammolli, Paolo Pagnottoni, Nicoló Pecora, Branka Hadji Misheva, Peter Sarlin, Stefan Avdjiev, Tanya Araújo and Francesco Pierri and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Alessandro Spelta

54 papers receiving 846 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alessandro Spelta Italy 15 584 316 110 92 82 59 880
Zhuang Xin-tian China 19 1.1k 1.9× 554 1.8× 65 0.6× 369 4.0× 178 2.2× 72 1.3k
Yongzeng Lai Canada 17 553 0.9× 565 1.8× 110 1.0× 33 0.4× 392 4.8× 59 1.3k
Emilio Barucci Italy 17 406 0.7× 490 1.6× 135 1.2× 38 0.4× 88 1.1× 90 815
Stephen Chan United Kingdom 15 840 1.4× 532 1.7× 18 0.2× 27 0.3× 180 2.2× 59 1.2k
Daniel Felix Ahelegbey Italy 12 354 0.6× 232 0.7× 78 0.7× 25 0.3× 57 0.7× 43 517
Jianmin He China 13 339 0.6× 222 0.7× 65 0.6× 56 0.6× 107 1.3× 56 573
Paolo Pagnottoni Italy 14 395 0.7× 167 0.5× 20 0.2× 31 0.3× 89 1.1× 34 534
Rogemar Mamon Canada 19 421 0.7× 567 1.8× 27 0.2× 14 0.2× 293 3.6× 82 1.0k
Sheri M. Markose United Kingdom 14 324 0.6× 330 1.0× 115 1.0× 30 0.3× 94 1.1× 44 628
Κωνσταντίνος Γκίλλας Greece 20 1.3k 2.2× 573 1.8× 82 0.7× 14 0.2× 104 1.3× 75 1.5k

Countries citing papers authored by Alessandro Spelta

Since Specialization
Citations

This map shows the geographic impact of Alessandro Spelta'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 Alessandro Spelta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Spelta more than expected).

Fields of papers citing papers by Alessandro Spelta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandro Spelta. 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 Alessandro Spelta. The network helps show where Alessandro Spelta may publish in the future.

Co-authorship network of co-authors of Alessandro Spelta

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Spelta. A scholar is included among the top collaborators of Alessandro Spelta 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 Alessandro Spelta. Alessandro Spelta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Spelta, Alessandro, Paolo Pagnottoni, & Nicoló Pecora. (2025). The geometry of touching: optimal transport to cluster playing styles and match outcomes in soccer. Journal of the Royal Statistical Society Series C (Applied Statistics).
2.
Spelta, Alessandro. (2025). Density-based machine learning model averaging for inflation forecasting. Journal of the Royal Statistical Society Series C (Applied Statistics). 75(2). 364–406.
3.
Spelta, Alessandro, Nicoló Pecora, & Hung‐Ju Chen. (2025). Foreign direct investments and C O 2 emissions in Asia: A data-driven optimal transport perspective. Journal of Economic Behavior & Organization. 240. 107318–107318.
4.
Mastrandrea, Rossana, Paolo Pagnottoni, Nicoló Pecora, & Alessandro Spelta. (2025). An Optimal Transport approach to model the community structure of the International Trade Network. Social Networks. 82. 111–133. 2 indexed citations
5.
Pagnottoni, Paolo, et al.. (2024). Explainable machine learning for financial risk management: two practical use cases. Statistics. 58(5). 1267–1282. 1 indexed citations
6.
Levantesi, Susanna, Andrea Nigri, Paolo Pagnottoni, & Alessandro Spelta. (2024). Wasserstein barycenter regression: application to the joint dynamics of regional GDP and life expectancy in Italy. AStA Advances in Statistical Analysis. 109(2). 313–336. 2 indexed citations
7.
Spelta, Alessandro & Emanuela Raffinetti. (2024). Evaluating SAFE AI principles using Wasserstein distance: a comparative study of Machine Learning models. Statistics. 58(6). 1283–1303. 1 indexed citations
8.
Giordani, Paolo, et al.. (2023). A multi-way analysis of similarity patterns in longevity improvements. Statistical Methods & Applications. 32(5). 1805–1828.
9.
Pagnottoni, Paolo & Alessandro Spelta. (2023). Statistically validated coeherence and intensity in temporal networks of information flows. Statistical Methods & Applications. 33(1). 131–151. 3 indexed citations
10.
Spelta, Alessandro, et al.. (2023). Wasserstein barycenter regression for estimating the joint dynamics of renewable and fossil fuel energy indices. Computational Management Science. 20(1). 1–1. 5 indexed citations
11.
Levantesi, Susanna, Andrea Nigri, Gabriella Piscopo, & Alessandro Spelta. (2023). Multi-country clustering-based forecasting of healthy life expectancy. Quality & Quantity. 57(S2). 189–215. 8 indexed citations
12.
Spelta, Alessandro, Nicoló Pecora, Andrea Flori, & Paolo Giudici. (2021). The impact of the SARS-CoV-2 pandemic on financial markets: a seismologic approach. Annals of Operations Research. 330(1-2). 639–664. 14 indexed citations
13.
Flori, Andrea, et al.. (2021). Brexit news propagation in financial systems: multidimensional visibility networks for market volatility dynamics. Quantitative Finance. 22(5). 973–995. 6 indexed citations
14.
Pammolli, Fabio, Massimo Riccaboni, & Alessandro Spelta. (2021). The network origins of Schumpeterian innovation. Journal of Evolutionary Economics. 31(5). 1411–1431. 6 indexed citations
15.
Spelta, Alessandro, Andrea Flori, Francesco Pierri, Giovanni Bonaccorsi, & Fabio Pammolli. (2020). After the lockdown: simulating mobility, public health and economic recovery scenarios. Scientific Reports. 10(1). 16950–16950. 43 indexed citations
16.
Spelta, Alessandro, Andrea Flori, Nicoló Pecora, Sergey V. Buldyrev, & Fabio Pammolli. (2020). A behavioral approach to instability pathways in financial markets. Nature Communications. 11(1). 1707–1707. 18 indexed citations
17.
Giudici, Paolo, Branka Hadji Misheva, & Alessandro Spelta. (2019). Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms. Frontiers in Artificial Intelligence. 2. 3–3. 37 indexed citations
18.
Avdjiev, Stefan, Paolo Giudici, & Alessandro Spelta. (2019). Measuring contagion risk in international banking. Journal of Financial Stability. 42. 36–51. 54 indexed citations
19.
Spelta, Alessandro, Nicoló Pecora, Andrea Flori, & Fabio Pammolli. (2018). Transition drivers and crisis signaling in stock markets. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2 indexed citations
20.
Pecora, Nicoló, et al.. (2016). Discovering SIFIs in Interbank Communities. PLoS ONE. 11(12). e0167781–e0167781. 10 indexed citations

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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