Pierluigi Vellucci

568 total citations
43 papers, 383 citations indexed

About

Pierluigi Vellucci is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics and Sociology and Political Science. According to data from OpenAlex, Pierluigi Vellucci has authored 43 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Economics and Econometrics, 16 papers in Statistical and Nonlinear Physics and 7 papers in Sociology and Political Science. Recurrent topics in Pierluigi Vellucci's work include Market Dynamics and Volatility (11 papers), Complex Systems and Time Series Analysis (11 papers) and Opinion Dynamics and Social Influence (10 papers). Pierluigi Vellucci is often cited by papers focused on Market Dynamics and Volatility (11 papers), Complex Systems and Time Series Analysis (11 papers) and Opinion Dynamics and Social Influence (10 papers). Pierluigi Vellucci collaborates with scholars based in Italy, United States and Germany. Pierluigi Vellucci's co-authors include Loretta Mastroeni, Maurizio Naldi, Francesco Benedetto, Mattia Zanella, Lorenzo Pareschi, Alberto Maria Bersani, Paola Loreti, Alessandro Borri, Giuseppe Tomassetti and Federico Benassi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Policy and IEEE Access.

In The Last Decade

Pierluigi Vellucci

39 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierluigi Vellucci Italy 11 200 104 57 54 51 43 383
Can-Zhong Yao China 13 316 1.6× 113 1.1× 74 1.3× 39 0.7× 41 0.8× 43 521
André L. M. Vilela Brazil 12 137 0.7× 196 1.9× 19 0.3× 41 0.8× 9 0.2× 28 384
Sha Zhu China 8 226 1.1× 36 0.3× 39 0.7× 6 0.1× 46 0.9× 22 353
Cheng Jiang China 11 170 0.8× 87 0.8× 26 0.5× 17 0.3× 39 0.8× 27 337
Silvana Stefani Italy 11 82 0.4× 65 0.6× 38 0.7× 34 0.6× 8 0.2× 34 261
Paolo Pagnottoni Italy 14 395 2.0× 31 0.3× 89 1.6× 18 0.3× 36 0.7× 34 534
Franziska J. Peter Germany 10 372 1.9× 25 0.2× 87 1.5× 12 0.2× 60 1.2× 23 487
Petre Caraiani Romania 14 482 2.4× 110 1.1× 54 0.9× 14 0.3× 195 3.8× 75 588
Wei-Qiang Huang China 12 445 2.2× 185 1.8× 67 1.2× 7 0.1× 42 0.8× 37 565

Countries citing papers authored by Pierluigi Vellucci

Since Specialization
Citations

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

Fields of papers citing papers by Pierluigi Vellucci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierluigi Vellucci

This figure shows the co-authorship network connecting the top 25 collaborators of Pierluigi Vellucci. A scholar is included among the top collaborators of Pierluigi Vellucci 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 Pierluigi Vellucci. Pierluigi Vellucci 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.
Mastroeni, Loretta, et al.. (2025). Geopolitical risk and uncertainty in energy markets: Evidence from wavelet-based methods. Energy Economics. 143. 108281–108281. 1 indexed citations
2.
Vellucci, Pierluigi, et al.. (2025). Exploring cryptocurrency price dynamics and predictability with ordinal networks. Physica A Statistical Mechanics and its Applications. 674. 130752–130752.
3.
Mastroeni, Loretta, et al.. (2024). Studying the impact of fluctuations, spikes and rare events in time series through a wavelet entropy predictability measure. Physica A Statistical Mechanics and its Applications. 641. 129720–129720. 10 indexed citations
4.
Benassi, Federico, Alessia Naccarato, & Pierluigi Vellucci. (2024). Exploring the territorial unevenness of one-person households and contextual factors of vulnerability: Evidence from the Italian context. Socio-Economic Planning Sciences. 95. 102014–102014. 3 indexed citations
5.
Mastroeni, Loretta, Maurizio Naldi, & Pierluigi Vellucci. (2023). Wind energy: Influencing the dynamics of the public opinion formation through the retweet network. Technological Forecasting and Social Change. 194. 122748–122748. 7 indexed citations
6.
Mastroeni, Loretta, Maurizio Naldi, & Pierluigi Vellucci. (2022). Personal Finance Decisions with Untruthful Advisors: An Agent-Based Model. Computational Economics. 61(4). 1477–1522. 4 indexed citations
7.
Vellucci, Pierluigi, et al.. (2021). Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon. Iris (Roma Tre University). 11 indexed citations
8.
Mastroeni, Loretta, et al.. (2021). The selection of predictive variables in aggregate hydroelectric generation models. Iris (Roma Tre University). 3 indexed citations
9.
Bersani, Alberto Maria, et al.. (2020). Uniform Asymptotic Expansions beyond the tQSSA for the Goldbeter--Koshland Switch. SIAM Journal on Applied Mathematics. 80(3). 1123–1152. 2 indexed citations
10.
Mastroeni, Loretta & Pierluigi Vellucci. (2020). Chaos vs Stochastic Paradigm in Energy Markets. Iris (Roma Tre University). 765–786. 3 indexed citations
11.
Mastroeni, Loretta, Maurizio Naldi, & Pierluigi Vellucci. (2020). Calibration of an agent-based model for opinion formation through a retweet social network.. Iris (Roma Tre University). 161–173.
12.
Benedetto, Francesco, et al.. (2020). Does OVX affect WTI and Brent oil spot variance? Evidence from an entropy analysis. Energy Economics. 89. 104815–104815. 50 indexed citations
13.
Benedetto, Francesco, Loretta Mastroeni, & Pierluigi Vellucci. (2020). Extraction of Information Content Exchange in Financial Markets by an Entropy Analysis. ACM Transactions on Management Information Systems. 12(1). 1–16. 2 indexed citations
14.
Mastroeni, Loretta, Maurizio Naldi, & Pierluigi Vellucci. (2019). An agent-based model on scale-free networks for personal finance decisions. Iris (Roma Tre University). 2404. 77–83. 2 indexed citations
15.
Benedetto, Francesco, Loretta Mastroeni, & Pierluigi Vellucci. (2019). Modeling the flow of information between financial time-series by an entropy-based approach. Annals of Operations Research. 299(1-2). 1235–1252. 21 indexed citations
16.
Mastroeni, Loretta, Pierluigi Vellucci, & Maurizio Naldi. (2019). Agent-Based Models for Opinion Formation: A Bibliographic Survey. IEEE Access. 7. 58836–58848. 51 indexed citations
17.
Mastroeni, Loretta, Pierluigi Vellucci, & Maurizio Naldi. (2018). Co-existence of stochastic and chaotic behaviour in the copper price time series. Resources Policy. 58. 295–302. 16 indexed citations
18.
Loreti, Paola, et al.. (2015). An Explicit Bound for Stability of Sinc Bases. IRIS Research product catalog (Sapienza University of Rome). 473–480. 2 indexed citations
19.
Loreti, Paola, et al.. (2014). A Model for Robotic Hand Based on Fibonacci Sequence. IRIS Research product catalog (Sapienza University of Rome). 577–584. 1 indexed citations
20.
Vellucci, Pierluigi. (2014). A simple pointview for Kadec-1/4 theorem in the complex case. Ricerche di Matematica. 64(1). 87–92. 3 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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