Luca Grilli
Impact in
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- Stock Market Forecasting Methods
- Applied Mathematics top 10%
- Geometric Analysis and Curvature Flows
Papers in
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- Economic theories and models 7
- Complex Systems and Time Series Analysis 7
- Merger and Competition Analysis 4
- Climate Change Policy and Economics 4
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- Stock Market Forecasting Methods 7
- Co-authors
- Süleyman Şenyurt (6 shared papers)Alfonso Guarino (7 shared papers)Barbara Cafarelli (3 shared papers)Giovanni Villani (4 shared papers)Michele Bisceglia (7 shared papers)Giulio Mario Cappelletti (5 shared papers)Pierpaolo Limone (3 shared papers)Carlo Russo (5 shared papers)
In The Last Decade
Luca Grilli
40 papers receiving 269 citations
Peers
Comparison fields: 5 of 91
- Management Science and Operations Research 57
- Applied Mathematics 42
- Geometry and Topology 25
- Finance 23
- Economics and Econometrics 60
Countries citing papers authored by Luca Grilli
This map shows the geographic impact of Luca Grilli'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 Grilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Grilli more than expected).
Fields of papers citing papers by Luca Grilli
This network shows the impact of papers produced by Luca Grilli. 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 Grilli. The network helps show where Luca Grilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Grilli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 28 | |
| 2 | 2023 | 27 | |
| 3 | 2022 | 19 | |
| 4 | 2023 | 18 | |
| 5 | 2022 | 18 | |
| 6 | 2002 | 16 | |
| 7 | 2022 | 15 | |
| 8 | 2017 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2023 | 4 |
About Luca Grilli
Luca Grilli is a scholar working on Economics and Econometrics, Management Science and Operations Research, Finance, Computational Mechanics and Electrical and Electronic Engineering, having authored 48 papers that have together received 273 indexed citations. Recurring topics across this work include Economic theories and models (7 papers), Stock Market Forecasting Methods (7 papers), Complex Systems and Time Series Analysis (7 papers), Advanced Numerical Analysis Techniques (5 papers), Merger and Competition Analysis (4 papers), Mathematics and Applications (4 papers), Climate Change Policy and Economics (4 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Management Science and Operations Research (57 citations), Applied Mathematics (42 citations), Geometry and Topology (25 citations), Finance (23 citations) and Economics and Econometrics (60 citations). Luca Grilli has collaborated with scholars based in Italy, Türkiye and France. Frequent co-authors include Süleyman Şenyurt, Alfonso Guarino, Barbara Cafarelli, Giovanni Villani, Michele Bisceglia, Giulio Mario Cappelletti, Pierpaolo Limone, Carlo Russo, Davide Vergni and Rocco Zaccagnino. Their work appears in journals such as Neural Computing and Applications, Decisions in Economics and Finance, Symmetry, Physica A Statistical Mechanics and its Applications and Applied Stochastic Models in Business and Industry.
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.