Rosanna Grassi
- Statistical and Nonlinear Physics top 5%
- Economics and Econometrics top 5%
- Finance top 10%
- Sociology and Political Science
- Strategy and Management top 10%
- Co-authors
- Gian Paolo ClementeAnna TorrieroSilvana StefaniEttore CrociAlberto ArcagniFrancesco CalderoniMonica BianchiPaola Bongini
- Topics
- Complex Network Analysis Techniques (27 papers)Complex Systems and Time Series Analysis (16 papers)Opinion Dynamics and Social Influence (8 papers)
- Partner nations
- ItalyUnited KingdomBrazil
In The Last Decade
Rosanna Grassi
45 papers receiving 477 citations
Peers
Comparison fields: 5 of 98
- Statistical and Nonlinear Physics 198
- Economics and Econometrics 195
- Finance 86
- Sociology and Political Science 77
- Strategy and Management 60
Countries citing papers authored by Rosanna Grassi
This map shows the geographic impact of Rosanna Grassi'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 Rosanna Grassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosanna Grassi more than expected).
Fields of papers citing papers by Rosanna Grassi
This network shows the impact of papers produced by Rosanna Grassi. 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 Rosanna Grassi. The network helps show where Rosanna Grassi may publish in the future.
Co-authorship network of co-authors of Rosanna Grassi
This figure shows the co-authorship network connecting the top 25 collaborators of Rosanna Grassi. A scholar is included among the top collaborators of Rosanna Grassi 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 Rosanna Grassi. Rosanna Grassi 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | Coronavirus disease 2019 (COVID-19) in Italy: features on chest computed tomography using a structured report system (vol 10, 17236, 2020) | 1 |
| 12 | 11 | |
| 13 | Communicability in the World Trade Network - A new perspective for community detection. | 0 |
| 14 | 15 | |
| 15 | 13 | |
| 16 | 75 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 28 |
About Rosanna Grassi
Rosanna Grassi is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Finance, having authored 52 papers that have together received 494 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Complex Systems and Time Series Analysis (16 papers) and Opinion Dynamics and Social Influence (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (198 citations), Finance (86 citations) and Economics and Econometrics (195 citations). Rosanna Grassi has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Gian Paolo Clemente, Anna Torriero, Silvana Stefani, Ettore Croci, Alberto Arcagni, Francesco Calderoni, Monica Bianchi, Paola Bongini, Marco Fattore and Roy Cerqueti. Their work appears in journals such as European Journal of Operational Research, Journal of Business Research and Information Sciences.
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.