Federico Cecconi
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 5%
- Molecular Biology
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Co-authors
- Domenico ParisiVittorio LoretoClaudio CastellanoFilippo RadicchiStefano NolfiAlain BarratMarco CampennìRosaria Conte
- Topics
- Complex Systems and Time Series Analysis (5 papers)Neural dynamics and brain function (4 papers)Complex Network Analysis Techniques (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsArtificial IntelligenceComputer Networks and Communications
- Journals
- Proceedings of the National Academy of SciencesAnalytical and Bioanalytical ChemistryFrontiers in Neuroscience
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Federico Cecconi
32 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Statistical and Nonlinear Physics 1.2k
- Artificial Intelligence 455
- Molecular Biology 419
- Computer Networks and Communications 291
- Sociology and Political Science 221
Countries citing papers authored by Federico Cecconi
This map shows the geographic impact of Federico Cecconi'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 Federico Cecconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Cecconi more than expected).
Fields of papers citing papers by Federico Cecconi
This network shows the impact of papers produced by Federico Cecconi. 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 Federico Cecconi. The network helps show where Federico Cecconi may publish in the future.
Co-authorship network of co-authors of Federico Cecconi
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Cecconi. A scholar is included among the top collaborators of Federico Cecconi 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 Federico Cecconi. Federico Cecconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | Low correlations between dividends and returns: the Alitalia 's case | 1 |
| 11 | 7 | |
| 12 | How Agents Find out Norms: A Simulation Based Model of Norm Innovation. | 12 |
| 13 | Asymmetric pricing: an agent based model | 2 |
| 14 | Recurrent and concurrent neural networks for objects recognition | 3 |
| 15 | 88 | |
| 16 | Defining and identifying communities in networksbreakdown → | 1575 |
| 17 | 36 | |
| 18 | 29 | |
| 19 | 12 | |
| 20 | Neural networks with motivational units | 7 |
About Federico Cecconi
Federico Cecconi is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics and Cognitive Neuroscience, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (5 papers), Neural dynamics and brain function (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Artificial Intelligence (455 citations) and Computer Networks and Communications (291 citations). Federico Cecconi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Domenico Parisi, Vittorio Loreto, Claudio Castellano, Filippo Radicchi, Stefano Nolfi, Domenico Parisi, Alain Barrat, Marco Campennì, Rosaria Conte and Giulia Andrighetto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical and Bioanalytical Chemistry and Frontiers in Neuroscience.
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.