Luca Rossini

903 total citations
32 papers, 579 citations indexed

About

Luca Rossini is a scholar working on Cognitive Neuroscience, Economics and Econometrics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Luca Rossini has authored 32 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 8 papers in Economics and Econometrics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Luca Rossini's work include Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Luca Rossini is often cited by papers focused on Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (7 papers) and EEG and Brain-Computer Interfaces (7 papers). Luca Rossini collaborates with scholars based in Italy, United Kingdom and Norway. Luca Rossini's co-authors include Paolo Maria Rossini, Giovanni Di Pino, Silvestro Micera, Staniša Raspopović, Jacopo Carpaneto, Luca Denaro, Paolo Dario, Luca Citi, Jacopo Rigosa and Francesco Ravazzolo and has published in prestigious journals such as Proceedings of the IEEE, Information Sciences and Agriculture Ecosystems & Environment.

In The Last Decade

Luca Rossini

29 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Rossini Italy 10 321 305 249 82 73 32 579
Arash Andalib Iran 3 132 0.4× 234 0.8× 176 0.7× 11 0.1× 63 0.9× 7 366
John Trimble United States 11 130 0.4× 54 0.2× 70 0.3× 56 0.7× 16 0.2× 44 552
Xingran Cui China 14 15 0.0× 133 0.4× 125 0.5× 59 0.7× 10 0.1× 32 501
Yijun Zou China 8 74 0.2× 60 0.2× 136 0.5× 33 0.4× 53 0.7× 18 312
Yujie Wu China 13 65 0.2× 35 0.1× 165 0.7× 27 0.3× 60 0.8× 50 447
Ignacio Rodríguez Spain 11 55 0.2× 166 0.5× 84 0.3× 24 0.3× 25 0.3× 46 344
Christian Sejer Pedersen Denmark 13 15 0.0× 160 0.5× 111 0.4× 158 1.9× 9 0.1× 37 717
Austin Morgan United States 3 395 1.2× 228 0.7× 451 1.8× 3 0.0× 111 1.5× 7 638
Yanran Li China 13 158 0.5× 121 0.4× 53 0.2× 2 0.0× 317 4.3× 43 634
Xichun Zhang China 11 65 0.2× 43 0.1× 76 0.3× 7 0.1× 116 1.6× 29 364

Countries citing papers authored by Luca Rossini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Rossini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Rossini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Rossini. A scholar is included among the top collaborators of Luca Rossini 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 Luca Rossini. Luca Rossini 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.
2.
Poon, Aubrey, et al.. (2023). Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP. Journal of Economic Dynamics and Control. 157. 104757–104757. 6 indexed citations
3.
Durante, Fabrizio, Angelica Gianfreda, Francesco Ravazzolo, & Luca Rossini. (2022). A multivariate dependence analysis for electricity prices, demand and renewable energy sources. Information Sciences. 590. 74–89. 15 indexed citations
4.
Foroni, Claudia, Francesco Ravazzolo, & Luca Rossini. (2022). Are low frequency macroeconomic variables important for high frequency electricity prices?. Economic Modelling. 120. 106160–106160. 5 indexed citations
5.
Huber, Florian & Luca Rossini. (2022). Inference in Bayesian additive vector autoregressive tree models. The Annals of Applied Statistics. 16(1). 11 indexed citations
6.
Gianfreda, Angelica, Francesco Ravazzolo, & Luca Rossini. (2022). Large Time‐Varying Volatility Models for Hourly Electricity Prices*. Oxford Bulletin of Economics and Statistics. 85(3). 545–573. 1 indexed citations
7.
Valle, Luciana Dalla, et al.. (2021). A Pólya–Gamma sampler for a generalized logistic regression. Journal of Statistical Computation and Simulation. 91(14). 2899–2916. 2 indexed citations
8.
Billio, Monica, Roberto Casarin, & Luca Rossini. (2019). Bayesian nonparametric sparse VAR models. ARCA (Università Ca' Foscari Venezia). 36 indexed citations
9.
Foroni, Claudia, Francesco Ravazzolo, & Luca Rossini. (2019). Forecasting Daily Electricity Prices with Monthly Macroeconomic Variables. SSRN Electronic Journal. 6 indexed citations
10.
Leisen, Fabrizio, et al.. (2019). On a flexible construction of a negative binomial model. Statistics & Probability Letters. 152. 1–8. 4 indexed citations
11.
Valle, Luciana Dalla, et al.. (2019). Bayesian analysis of immigration in Europe with generalized logistic regression. Journal of Applied Statistics. 47(3). 424–438. 5 indexed citations
12.
Gianfreda, Angelica, Francesco Ravazzolo, & Luca Rossini. (2018). Comparing the Forecasting Performances of Linear Models for Electricity\n Prices with High RES Penetration. arXiv (Cornell University). 38 indexed citations
13.
Valle, Luciana Dalla, Fabrizio Leisen, & Luca Rossini. (2017). Bayesian Non-Parametric Conditional Copula Estimation of Twin Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 67(3). 523–548. 14 indexed citations
14.
Leisen, Fabrizio, et al.. (2017). A Note on the Posterior Inference for the Yule-Simon Distribution. SSRN Electronic Journal. 1 indexed citations
15.
Pino, Giovanni Di, Antonella Benvenuto, G. Cavallo, et al.. (2012). In Human Implant of Intraneural Multielectrodes for Controlling a 5-Fingered Hand Prosthesis and Delivering Sensorial Feedback. 4 indexed citations
16.
Rossini, Luca & Paolo Maria Rossini. (2010). Combining ENG and EEG integrated analysis for better sensitivity and specificity of neuroprosthesis operations. PubMed. 2010. 134–137. 5 indexed citations
17.
Benvenuto, Antonella, Staniša Raspopović, K.-P. Hoffmann, et al.. (2010). Intrafascicular thin-film multichannel electrodes for sensory feedback: Evidences on a human amputee. PubMed. 121. 1800–1803. 13 indexed citations
18.
Izzo, Dario, Luca Rossini, Christos Ampatzis, et al.. (2009). Curiosity Cloning: Neural Analysis of Scientific Knowledge. Arrow@dit (Dublin Institute of Technology). 673. 6. 1 indexed citations
19.
Rossini, Luca, Dario Izzo, & Leopold Summerer. (2009). Brain machine interfaces for space applications : enhancing astronaut capabilities. Elsevier eBooks. 3 indexed citations
20.
Cova, D., Anna Arnoldi, Alberto Griffini, & Luca Rossini. (1986). Formation in aqueous solution of N-nitroso curzate and the catalytic effect of some anions. Bulletin of Environmental Contamination and Toxicology. 37(1). 672–676. 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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