Luca Di Persio
- Management Science and Operations Research top 2%
- Finance top 5%
- Electrical and Electronic Engineering
- Economics and Econometrics top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Francesco CordoniWiboonsak WatthayuAli AkgülPoom KumamMuhammad ArifSergio AlbeverioFred Espen BenthRiccardo Muradore
- Topics
- Stochastic processes and financial applications (36 papers)Financial Risk and Volatility Modeling (13 papers)Energy Load and Power Forecasting (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsAutomatica
- Partner nations
- ItalyGermanySaudi Arabia
In The Last Decade
Luca Di Persio
79 papers receiving 786 citations
Peers
Comparison fields: 5 of 88
- Management Science and Operations Research 329
- Finance 224
- Electrical and Electronic Engineering 223
- Economics and Econometrics 190
- Control and Systems Engineering 82
Countries citing papers authored by Luca Di Persio
This map shows the geographic impact of Luca Di Persio'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 Di Persio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Di Persio more than expected).
Fields of papers citing papers by Luca Di Persio
This network shows the impact of papers produced by Luca Di Persio. 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 Di Persio. The network helps show where Luca Di Persio may publish in the future.
Co-authorship network of co-authors of Luca Di Persio
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Di Persio. A scholar is included among the top collaborators of Luca Di Persio 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 Di Persio. Luca Di Persio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 63 | |
| 12 | 0 | |
| 13 | 9 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | Artificial Neural Networks Approach to the Forecast of Stock Market Price Movements | 37 |
| 17 | 8 | |
| 18 | 17 | |
| 19 | 3 | |
| 20 | Anomalous behaviour of the correction to the central limit theorem for a model of random walk in random media | 1 |
About Luca Di Persio
Luca Di Persio is a scholar working on Finance, Management Science and Operations Research and Mathematical Physics, having authored 91 papers that have together received 823 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (36 papers), Financial Risk and Volatility Modeling (13 papers) and Energy Load and Power Forecasting (12 papers). The work is most often cited by research in Management Science and Operations Research (329 citations), Finance (224 citations) and Modeling and Simulation (36 citations). Luca Di Persio has collaborated with scholars based in Italy, Germany and Saudi Arabia. Frequent co-authors include Francesco Cordoni, Wiboonsak Watthayu, Ali Akgül, Poom Kumam, Muhammad Arif, Sergio Albeverio, Fred Espen Benth, Riccardo Muradore, Matthias Ehrhardt and Viorel Barbu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Automatica.
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.