Giacomo Raffaelli
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Economics and Econometrics top 10%
- Statistical and Nonlinear Physics top 10%
- Cognitive Neuroscience
- Co-authors
- Enrico CherubiniChiara SavianeLuigi PalatellaPaolo GrigoliniMajid H. MohajeraniPaola PedarzaniMatteo MarsiliPaolo Allegrini
- Topics
- Complex Systems and Time Series Analysis (7 papers)Financial Risk and Volatility Modeling (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceStatistical and Nonlinear PhysicsEconomics and Econometrics
- Journals
- The Journal of PhysiologyPhysica A Statistical Mechanics and its ApplicationsChaos Solitons & Fractals
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Giacomo Raffaelli
12 papers receiving 464 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 198
- Cellular and Molecular Neuroscience 181
- Economics and Econometrics 154
- Statistical and Nonlinear Physics 89
- Cognitive Neuroscience 86
Countries citing papers authored by Giacomo Raffaelli
This map shows the geographic impact of Giacomo Raffaelli'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 Giacomo Raffaelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Raffaelli more than expected).
Fields of papers citing papers by Giacomo Raffaelli
This network shows the impact of papers produced by Giacomo Raffaelli. 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 Giacomo Raffaelli. The network helps show where Giacomo Raffaelli may publish in the future.
Co-authorship network of co-authors of Giacomo Raffaelli
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Raffaelli. A scholar is included among the top collaborators of Giacomo Raffaelli 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 Giacomo Raffaelli. Giacomo Raffaelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 174 | |
| 7 | 10 | |
| 8 | 46 | |
| 9 | 62 | |
| 10 | 1 | |
| 11 | 42 | |
| 12 | 92 |
About Giacomo Raffaelli
Giacomo Raffaelli is a scholar working on Finance, Economics and Econometrics and Statistical and Nonlinear Physics, having authored 12 papers that have together received 470 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Financial Risk and Volatility Modeling (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (181 citations), Statistical and Nonlinear Physics (89 citations) and Economics and Econometrics (154 citations). Giacomo Raffaelli has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Enrico Cherubini, Chiara Saviane, Luigi Palatella, Paolo Grigolini, Majid H. Mohajerani, Paola Pedarzani, Matteo Marsili, Paolo Allegrini, Patti Hamilton and L. L. Voronin. Their work appears in journals such as The Journal of Physiology, Physica A Statistical Mechanics and its Applications and Chaos Solitons & Fractals.
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.