Diodato Ferraioli
- Statistical and Nonlinear Physics top 5%
- Management Science and Operations Research top 5%
- Sociology and Political Science
- Economics and Econometrics
- Information Systems
- Co-authors
- Vincenzo AulettaCarmine VentreGiuseppe PersianoFrancesco PasqualeGianluigi GrecoPaolo PennaAngelo FanelliPaul W. Goldberg
- Topics
- Game Theory and Applications (25 papers)Opinion Dynamics and Social Influence (21 papers)Complex Network Analysis Techniques (17 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Diodato Ferraioli
35 papers receiving 220 citations
Peers
Comparison fields: 5 of 31
- Statistical and Nonlinear Physics 134
- Management Science and Operations Research 118
- Sociology and Political Science 54
- Economics and Econometrics 33
- Information Systems 30
Countries citing papers authored by Diodato Ferraioli
This map shows the geographic impact of Diodato Ferraioli'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 Diodato Ferraioli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diodato Ferraioli more than expected).
Fields of papers citing papers by Diodato Ferraioli
This network shows the impact of papers produced by Diodato Ferraioli. 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 Diodato Ferraioli. The network helps show where Diodato Ferraioli may publish in the future.
Co-authorship network of co-authors of Diodato Ferraioli
This figure shows the co-authorship network connecting the top 25 collaborators of Diodato Ferraioli. A scholar is included among the top collaborators of Diodato Ferraioli 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 Diodato Ferraioli. Diodato Ferraioli 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 | 4 | |
| 3 | 19 | |
| 4 | 3 | |
| 5 | On the complexity of opinion consensus under majority dynamics | 3 |
| 6 | 3 | |
| 7 | 12 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | Generalized discrete preference games | 11 |
| 13 | 13 | |
| 14 | Metastability of Asymptotically Well-Behaved Potential Games - (Extended Abstract). | 1 |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 7 | |
| 20 | On the Price of Anarchy of Restricted Job Scheduling Games. | 2 |
About Diodato Ferraioli
Diodato Ferraioli is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and General Decision Sciences, having authored 36 papers that have together received 221 indexed citations. Recurring topics across this work include Game Theory and Applications (25 papers), Opinion Dynamics and Social Influence (21 papers) and Complex Network Analysis Techniques (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (134 citations), Management Science and Operations Research (118 citations) and Communication (12 citations). Diodato Ferraioli has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Vincenzo Auletta, Carmine Ventre, Giuseppe Persiano, Francesco Pasquale, Gianluigi Greco, Paolo Penna, Angelo Fanelli, Paul W. Goldberg, Raffaele Cerulli and Ioannis Caragiannis. Their work appears in journals such as Artificial Intelligence, Theoretical Computer Science and Mathematics of Operations Research.
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.