Mattia Guerini
- Economics and Econometrics top 10%
- General Economics, Econometrics and Finance top 10%
- Management Science and Operations Research
- Finance
- Modeling and Simulation
- Co-authors
- Alessio MonetaMauro NapoletanoAndrea RoventiniFrancesco LampertiGiorgio FagioloAlessandro CaianiPhilipp HartingPatrick Musso
- Topics
- Complex Systems and Time Series Analysis (8 papers)Economic theories and models (6 papers)Monetary Policy and Economic Impact (4 papers)
- Cited by
- General Economics, Econometrics and FinanceEconomics and EconometricsModeling and Simulation
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Mattia Guerini
20 papers receiving 173 citations
Peers
Comparison fields: 5 of 46
- Economics and Econometrics 139
- General Economics, Econometrics and Finance 48
- Management Science and Operations Research 30
- Finance 25
- Modeling and Simulation 14
Countries citing papers authored by Mattia Guerini
This map shows the geographic impact of Mattia Guerini'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 Mattia Guerini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia Guerini more than expected).
Fields of papers citing papers by Mattia Guerini
This network shows the impact of papers produced by Mattia Guerini. 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 Mattia Guerini. The network helps show where Mattia Guerini may publish in the future.
Co-authorship network of co-authors of Mattia Guerini
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia Guerini. A scholar is included among the top collaborators of Mattia Guerini 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 Mattia Guerini. Mattia Guerini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Validation of Agent-Based Models in Economics and Finance | 14 |
| 18 | 28 | |
| 19 | 74 | |
| 20 | 16 |
About Mattia Guerini
Mattia Guerini is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Finance, having authored 20 papers that have together received 185 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (8 papers), Economic theories and models (6 papers) and Monetary Policy and Economic Impact (4 papers). The work is most often cited by research in General Economics, Econometrics and Finance (48 citations), Economics and Econometrics (139 citations) and Modeling and Simulation (14 citations). Mattia Guerini has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Alessio Moneta, Mauro Napoletano, Andrea Roventini, Francesco Lamperti, Giorgio Fagiolo, Alessandro Caiani, Philipp Harting, Patrick Musso, Lionel Nesta and Sergio Vergalli. Their work appears in journals such as Regional Studies, Economic Modelling and Journal of Economic Dynamics and Control.
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.