Raffaele Mattera

531 total citations
50 papers, 302 citations indexed

About

Raffaele Mattera is a scholar working on Economics and Econometrics, Finance and Signal Processing. According to data from OpenAlex, Raffaele Mattera has authored 50 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Economics and Econometrics, 14 papers in Finance and 11 papers in Signal Processing. Recurrent topics in Raffaele Mattera's work include Complex Systems and Time Series Analysis (21 papers), Time Series Analysis and Forecasting (11 papers) and Market Dynamics and Volatility (10 papers). Raffaele Mattera is often cited by papers focused on Complex Systems and Time Series Analysis (21 papers), Time Series Analysis and Forecasting (11 papers) and Market Dynamics and Volatility (10 papers). Raffaele Mattera collaborates with scholars based in Italy, France and United Kingdom. Raffaele Mattera's co-authors include Massimiliano Giacalone, Roy Cerqueti, Demetrio Panarello, Pierpaolo D’Urso, Livia De Giovanni, Giulio Mattera, Andrea Gatto, Philipp Otto, Eugenia Nissi and Philip Hans Franses and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Raffaele Mattera

37 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raffaele Mattera Italy 11 168 90 49 45 38 50 302
Edoardo Otranto Italy 13 467 2.8× 356 4.0× 65 1.3× 40 0.9× 47 1.2× 40 579
Helena Veiga Spain 13 404 2.4× 214 2.4× 17 0.3× 108 2.4× 22 0.6× 36 546
Johannes Stübinger Germany 12 194 1.2× 113 1.3× 32 0.7× 66 1.5× 47 1.2× 17 362
İbrahim Özkan Türkiye 8 111 0.7× 74 0.8× 21 0.4× 28 0.6× 90 2.4× 33 304
Ines Wilms Netherlands 9 150 0.9× 49 0.5× 7 0.1× 37 0.8× 25 0.7× 27 270
Zhentao Shi Hong Kong 7 198 1.2× 52 0.6× 11 0.2× 24 0.5× 28 0.7× 28 310
Abdelwahed Trabelsi Tunisia 12 301 1.8× 199 2.2× 11 0.2× 111 2.5× 23 0.6× 30 485
Francesca Di Iorio Italy 10 153 0.9× 50 0.6× 7 0.1× 43 1.0× 41 1.1× 45 255
Lean Yu China 9 195 1.2× 67 0.7× 7 0.1× 129 2.9× 23 0.6× 14 362

Countries citing papers authored by Raffaele Mattera

Since Specialization
Citations

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

Fields of papers citing papers by Raffaele Mattera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raffaele Mattera

This figure shows the co-authorship network connecting the top 25 collaborators of Raffaele Mattera. A scholar is included among the top collaborators of Raffaele Mattera 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 Raffaele Mattera. Raffaele Mattera 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.
Cerqueti, Roy & Raffaele Mattera. (2025). Measuring unit relevance and stability in hierarchical spatio-temporal clustering. Spatial Statistics. 66. 100880–100880. 1 indexed citations
2.
Cerqueti, Roy, et al.. (2025). Mapping socio-environmental policy integration in the European Union: A multilayer network approach. Journal of Cleaner Production. 491. 144792–144792. 1 indexed citations
3.
D’Urso, Pierpaolo, et al.. (2025). Fuzzy group fixed-effects estimation with spatial clustering. AStA Advances in Statistical Analysis. 109(4). 721–752. 1 indexed citations
4.
Mattera, Giulio, et al.. (2025). Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning. Computers & Industrial Engineering. 203. 111023–111023. 7 indexed citations
5.
Cerqueti, Roy, et al.. (2025). Systemic resilience of networked commodities. Energy Economics. 143. 108270–108270.
6.
Mattera, Giulio, Raffaele Mattera, & Luigi Nele. (2025). A forecast-assisted approach to remaining useful life prediction: a predictive maintenance case study in hybrid Al/CFRP stack drilling. International Journal of Production Research. 1–23.
7.
Mattera, Raffaele, et al.. (2024). Measuring financial stability in the presence of energy shocks. Energy Economics. 139. 107922–107922. 1 indexed citations
8.
Mattera, Raffaele & Philip Hans Franses. (2024). Spatio-temporal hierarchical clustering of interval time series with application to suicide rates in Europe. Statistical Modelling. 26(1). 9–41.
9.
D’Urso, Pierpaolo, et al.. (2024). Entropy-based fuzzy clustering of interval-valued time series. Advances in Data Analysis and Classification. 2 indexed citations
10.
Cerqueti, Roy, et al.. (2024). Improving the explainability of autoencoder factors for commodities through forecast-based Shapley values. Scientific Reports. 14(1). 19622–19622. 1 indexed citations
11.
Gatto, Andrea, Raffaele Mattera, & Demetrio Panarello. (2024). For whom the bell tolls. A spatial analysis of the renewable energy transition determinants in Europe in light of the Russia-Ukraine war. Journal of Environmental Management. 352. 119833–119833. 17 indexed citations
12.
Cerqueti, Roy, et al.. (2023). Fuzzy clustering of financial time series based on volatility spillovers. Annals of Operations Research. 3 indexed citations
13.
Cerqueti, Roy, et al.. (2023). A stochastic model for evaluating the peaks of commodities' returns. Applied Stochastic Models in Business and Industry. 40(2). 331–347.
14.
Cerqueti, Roy, et al.. (2022). INGARCH-based fuzzy clustering of count time series with a football application. SHILAP Revista de lepidopterología. 10. 100417–100417. 4 indexed citations
15.
Cerqueti, Roy, Pierpaolo D’Urso, Livia De Giovanni, Massimiliano Giacalone, & Raffaele Mattera. (2022). Weighted score-driven fuzzy clustering of time series with a financial application. Expert Systems with Applications. 198. 116752–116752. 18 indexed citations
16.
Segovia, Juan Evangelista Trinidad, et al.. (2022). A Bibliometric Analysis on Agent‐Based Models in Finance: Identification of Community Clusters and Future Research Trends. Complexity. 2022(1). 3 indexed citations
17.
Mattera, Raffaele, et al.. (2022). Mixed frequency composite indicators for measuring public sentiment in the EU. Quality & Quantity. 57(3). 2357–2382. 5 indexed citations
18.
Mattera, Raffaele, Massimiliano Giacalone, & Karina Gibert. (2021). Distribution-Based Entropy Weighting Clustering of Skewed and Heavy Tailed Time Series. Symmetry. 13(6). 959–959. 10 indexed citations
19.
Cerqueti, Roy, Massimiliano Giacalone, & Raffaele Mattera. (2020). Skewed non-Gaussian GARCH models for cryptocurrencies volatility modelling. Information Sciences. 527. 1–26. 45 indexed citations
20.
Giacalone, Massimiliano, Raffaele Mattera, & Eugenia Nissi. (2019). Economic indicators forecasting in presence of seasonal patterns: time series revision and prediction accuracy. Quality & Quantity. 54(1). 67–84. 5 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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