Diodato Ferraioli

720 total citations
36 papers, 221 citations indexed

About

Diodato Ferraioli is a scholar working on Management Science and Operations Research, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Diodato Ferraioli has authored 36 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Management Science and Operations Research, 23 papers in Statistical and Nonlinear Physics and 8 papers in Economics and Econometrics. Recurrent topics in Diodato Ferraioli's work include Game Theory and Applications (25 papers), Opinion Dynamics and Social Influence (21 papers) and Complex Network Analysis Techniques (17 papers). Diodato Ferraioli is often cited by papers focused on Game Theory and Applications (25 papers), Opinion Dynamics and Social Influence (21 papers) and Complex Network Analysis Techniques (17 papers). Diodato Ferraioli collaborates with scholars based in Italy, United Kingdom and France. Diodato Ferraioli's co-authors include Vincenzo Auletta, Carmine Ventre, Giuseppe Persiano, Francesco Pasquale, Gianluigi Greco, Paolo Penna, Angelo Fanelli, Paul W. Goldberg, Ioannis Caragiannis and Raffaele Cerulli and has published in prestigious journals such as Artificial Intelligence, Theoretical Computer Science and Mathematics of Operations Research.

In The Last Decade

Diodato Ferraioli

35 papers receiving 220 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Diodato Ferraioli Italy 10 134 118 54 33 30 36 221
Conrado Manuel Spain 9 106 0.8× 171 1.4× 43 0.8× 163 4.9× 14 0.5× 26 320
А. Г. Чхартишвили Russia 12 173 1.3× 104 0.9× 57 1.1× 74 2.2× 34 1.1× 43 343
Ercan Yildiz United States 6 353 2.6× 138 1.2× 127 2.4× 21 0.6× 18 0.6× 8 464
Enrique González–Arangüena Spain 7 99 0.7× 147 1.2× 35 0.6× 126 3.8× 13 0.4× 14 266
Manuel Mueller-Frank Spain 8 178 1.3× 183 1.6× 51 0.9× 38 1.2× 5 0.2× 42 258
Itai Arieli Israel 9 89 0.7× 207 1.8× 41 0.8× 90 2.7× 13 0.4× 58 296
Andrés Abeliuk United States 9 33 0.2× 36 0.3× 58 1.1× 10 0.3× 40 1.3× 21 199
Anna Torriero Italy 12 75 0.6× 22 0.2× 43 0.8× 29 0.9× 11 0.4× 35 316
Peng Jia United States 10 378 2.8× 85 0.7× 118 2.2× 22 0.7× 8 0.3× 17 456
Adam Avakian United States 5 60 0.4× 67 0.6× 50 0.9× 173 5.2× 31 1.0× 6 312

Countries citing papers authored by Diodato Ferraioli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Ferraioli, Diodato, et al.. (2022). Efficiency of Ad Auctions with Price Displaying. Proceedings of the AAAI Conference on Artificial Intelligence. 36(5). 4933–4940. 2 indexed citations
2.
Auletta, Vincenzo, Diodato Ferraioli, & Gianluigi Greco. (2021). Optimal majority dynamics for the diffusion of an opinion when multiple alternatives are available. Theoretical Computer Science. 869. 156–180. 4 indexed citations
3.
Auletta, Vincenzo, et al.. (2020). Contrasting the Spread of Misinformation in Online Social Networks. Journal of Artificial Intelligence Research. 69. 847–879. 19 indexed citations
4.
Ferraioli, Diodato & Carmine Ventre. (2020). Approximation Guarantee of OSP Mechanisms: The Case of Machine Scheduling and Facility Location. Algorithmica. 83(2). 695–725. 3 indexed citations
5.
Auletta, Vincenzo, Diodato Ferraioli, & Gianluigi Greco. (2019). On the complexity of opinion consensus under majority dynamics. 2504. 104–109. 3 indexed citations
6.
Ferraioli, Diodato, et al.. (2019). Obviously Strategyproof Mechanisms for Machine Scheduling.. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 144. 46. 3 indexed citations
7.
Auletta, Vincenzo, Angelo Fanelli, & Diodato Ferraioli. (2019). Consensus in Opinion Formation Processes in Fully Evolving Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 6022–6029. 12 indexed citations
8.
Auletta, Vincenzo, Diodato Ferraioli, & Gianluigi Greco. (2018). Reasoning about Consensus when Opinions Diffuse through Majority Dynamics. 49–55. 17 indexed citations
9.
Auletta, Vincenzo, Ioannis Caragiannis, Diodato Ferraioli, Clemente Galdi, & Giuseppe Persiano. (2017). Robustness in Discrete Preference Games. Adaptive Agents and Multi-Agents Systems. 1314–1322. 6 indexed citations
10.
Auletta, Vincenzo, et al.. (2017). Contrasting the Spread of Misinformation in Online Social Networks. Adaptive Agents and Multi-Agents Systems. 69. 1323–1331. 16 indexed citations
11.
Ferraioli, Diodato, et al.. (2016). What to Verify for Optimal Truthful Mechanisms without Money. Adaptive Agents and Multi-Agents Systems. 68–76. 6 indexed citations
12.
Auletta, Vincenzo, Ioannis Caragiannis, Diodato Ferraioli, Clemente Galdi, & Giuseppe Persiano. (2016). Generalized discrete preference games. International Joint Conference on Artificial Intelligence. 53–59. 11 indexed citations
13.
Ferraioli, Diodato, Paul W. Goldberg, & Carmine Ventre. (2016). Decentralized dynamics for finite opinion games. Theoretical Computer Science. 648. 96–115. 13 indexed citations
14.
Anagnostopoulos, Aris, Diodato Ferraioli, & Stefano Leonardi. (2015). Competitive Influence in Social Networks: Convergence, Submodularity, and Competition Effects. Adaptive Agents and Multi-Agents Systems. 1767–1768. 3 indexed citations
15.
Ferraioli, Diodato & Carmine Ventre. (2015). Metastability of Asymptotically Well-Behaved Potential Games - (Extended Abstract).. 311–323. 1 indexed citations
16.
Auletta, Vincenzo, Diodato Ferraioli, Francesco Pasquale, Paolo Penna, & Giuseppe Persiano. (2014). Logit Dynamics with Concurrent Updates for Local Interaction Potential Games. Algorithmica. 73(3). 511–546. 2 indexed citations
17.
Auletta, Vincenzo, Diodato Ferraioli, Francesco Pasquale, & Giuseppe Persiano. (2012). Metastability of logit dynamics for coordination games. Symposium on Discrete Algorithms. 1006–1024. 13 indexed citations
18.
Auletta, Vincenzo, Diodato Ferraioli, Valeria Fionda, & Gianluigi Greco. (2010). Characterising and matching iterative and recursive agent interaction protocols. Adaptive Agents and Multi-Agents Systems. 2. 1207–1214. 7 indexed citations
19.
Auletta, Vincenzo, Diodato Ferraioli, Francesco Pasquale, & Giuseppe Persiano. (2010). Mixing time and stationary expected social welfare of logit dynamics. 54–65. 2 indexed citations
20.
Ferraioli, Diodato & Carmine Ventre. (2009). On the Price of Anarchy of Restricted Job Scheduling Games.. 113–116. 2 indexed citations

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.

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