Giovanni Zappella
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Information Systems
- Statistical and Nonlinear Physics
- Computer Networks and Communications
- Co-authors
- Claudio GentileNicolò Cesa‐BianchiShuai LiElanor ColleoniCorrado MontiAdam ArvidssonBeyza ErmişAlessandro Rozza
- Topics
- Advanced Bandit Algorithms Research (7 papers)Complex Network Analysis Techniques (5 papers)Advanced Graph Neural Networks (5 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Journal of Machine Learning ResearcharXiv (Cornell University)CBS Research Portal (Copenhagen Business School)
In The Last Decade
Giovanni Zappella
16 papers receiving 154 citations
Peers
Comparison fields: 5 of 40
- Artificial Intelligence 111
- Management Science and Operations Research 64
- Information Systems 39
- Statistical and Nonlinear Physics 33
- Computer Networks and Communications 28
Countries citing papers authored by Giovanni Zappella
This map shows the geographic impact of Giovanni Zappella'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 Giovanni Zappella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Zappella more than expected).
Fields of papers citing papers by Giovanni Zappella
This network shows the impact of papers produced by Giovanni Zappella. 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 Giovanni Zappella. The network helps show where Giovanni Zappella may publish in the future.
Co-authorship network of co-authors of Giovanni Zappella
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Zappella. A scholar is included among the top collaborators of Giovanni Zappella 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 Giovanni Zappella. Giovanni Zappella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Towards Robust Episodic Meta-Learning | 1 |
| 3 | Linear bandits with Stochastic Delayed Feedback | 8 |
| 4 | 6 | |
| 5 | Contextual Bandits under Delayed Feedback. | 0 |
| 6 | Data-Dependent Clustering in Exploration-Exploitation Algorithms. | 3 |
| 7 | 35 | |
| 8 | Supplementary Material to "Online Clustering of Bandits" | 1 |
| 9 | Games of Friends: a game-theoretical approach for link prediction in online social networks | 2 |
| 10 | Random spanning trees and the prediction ofweighted graphs | 2 |
| 11 | A Gang of Bandits | 17 |
| 12 | 20 | |
| 13 | 16 | |
| 14 | A Linear Time Active Learning Algorithm for Link Classification | 2 |
| 15 | A Correlation Clustering Approach to Link Classification in Signed Networks | 12 |
| 16 | 13 | |
| 17 | See the Tree Through the Lines: The Shazoo Algorithm | 14 |
About Giovanni Zappella
Giovanni Zappella is a scholar working on Management Science and Operations Research, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 17 papers that have together received 158 indexed citations. Recurring topics across this work include Advanced Bandit Algorithms Research (7 papers), Complex Network Analysis Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Management Science and Operations Research (64 citations), Artificial Intelligence (111 citations) and Statistical and Nonlinear Physics (33 citations). Giovanni Zappella has collaborated with scholars based in Italy, Germany and Denmark. Frequent co-authors include Claudio Gentile, Nicolò Cesa‐Bianchi, Shuai Li, Elanor Colleoni, Corrado Monti, Adam Arvidsson, Beyza Ermiş, Alessandro Rozza, Matteo Zignani and Cédric Archambeau. Their work appears in journals such as Journal of Machine Learning Research, arXiv (Cornell University) and CBS Research Portal (Copenhagen Business School).
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.