Luca Di Persio

1.4k total citations
91 papers, 823 citations indexed

About

Luca Di Persio is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Luca Di Persio has authored 91 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Finance, 19 papers in Management Science and Operations Research and 17 papers in Economics and Econometrics. Recurrent topics in Luca Di Persio's work include Stochastic processes and financial applications (36 papers), Financial Risk and Volatility Modeling (13 papers) and Energy Load and Power Forecasting (12 papers). Luca Di Persio is often cited by papers focused on Stochastic processes and financial applications (36 papers), Financial Risk and Volatility Modeling (13 papers) and Energy Load and Power Forecasting (12 papers). Luca Di Persio collaborates with scholars based in Italy, Germany and Saudi Arabia. Luca Di Persio's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Automatica.

In The Last Decade

Luca Di Persio

79 papers receiving 786 citations

Peers

Luca Di Persio
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
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Babita Majhi India View profile →
Citations per field, relative to Luca Di Persio
Luca Di Persio · 1×
Citations per year, relative to Luca Di Persio
Luca Di Persio · 1×

Countries citing papers authored by Luca Di Persio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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