Giovanni De Luca
- Economics and Econometrics top 5%
- Finance top 5%
- Management Science and Operations Research top 10%
- Surgery
- Pulmonary and Respiratory Medicine
- Co-authors
- Paola ZuccolottoGiorgia RivieccioGiampiero M. GalloFrancesco BartolucciNicola LoperfidoAntonella La RoccaClaudio QuintanoPaolo Mazzocchi
- Topics
- Financial Risk and Volatility Modeling (22 papers)Complex Systems and Time Series Analysis (19 papers)Market Dynamics and Volatility (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEExpert Systems with Applications
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giovanni De Luca
69 papers receiving 693 citations
Peers
Comparison fields: 5 of 135
- Economics and Econometrics 235
- Finance 203
- Management Science and Operations Research 79
- Surgery 72
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Giovanni De Luca
This map shows the geographic impact of Giovanni De Luca'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 Giovanni De Luca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni De Luca more than expected).
Fields of papers citing papers by Giovanni De Luca
This network shows the impact of papers produced by Giovanni De Luca. 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 Giovanni De Luca. The network helps show where Giovanni De Luca may publish in the future.
Co-authorship network of co-authors of Giovanni De Luca
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni De Luca. A scholar is included among the top collaborators of Giovanni De Luca 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 Giovanni De Luca. Giovanni De Luca 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 | 3 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 25 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 27 | |
| 15 | 6 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 12 | |
| 19 | Time-varying mixture MEM for realized volatility | 0 |
| 20 | Finite and infinite mixtures for financial durations | 17 |
About Giovanni De Luca
Giovanni De Luca is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics, having authored 81 papers that have together received 715 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (22 papers), Complex Systems and Time Series Analysis (19 papers) and Market Dynamics and Volatility (13 papers). The work is most often cited by research in Finance (203 citations), Internal Medicine (45 citations) and Economics and Econometrics (235 citations). Giovanni De Luca has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Paola Zuccolotto, Giorgia Rivieccio, Giampiero M. Gallo, Francesco Bartolucci, Nicola Loperfido, Antonella La Rocca, Claudio Quintano, Paolo Mazzocchi, Maurizio Zompatori and Rocco Cobelli. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.
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.