Giovanni Zappella

459 total citations
17 papers, 158 citations indexed

About

Giovanni Zappella is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Giovanni Zappella has authored 17 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Giovanni Zappella's work include Advanced Bandit Algorithms Research (7 papers), Complex Network Analysis Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Giovanni Zappella is often cited by papers focused on Advanced Bandit Algorithms Research (7 papers), Complex Network Analysis Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). Giovanni Zappella collaborates with scholars based in Italy, Germany and Spain. Giovanni Zappella's co-authors include Claudio Gentile, Nicolò Cesa‐Bianchi, Shuai Li, Alessandro Rozza, Beyza Ermiş, Adam Arvidsson, Matteo Zignani, Elanor Colleoni, Corrado Monti and Fabian Moerchen and has published in prestigious journals such as Journal of Machine Learning Research, arXiv (Cornell University) and CBS Research Portal (Copenhagen Business School).

In The Last Decade

Giovanni Zappella

16 papers receiving 154 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Zappella Italy 8 111 64 39 33 28 17 158
Ludovic Liétard France 8 90 0.8× 45 0.7× 34 0.9× 31 0.9× 63 2.3× 26 187
Róbert Ormándi Hungary 4 115 1.0× 30 0.5× 25 0.6× 12 0.4× 58 2.1× 14 167
Matthias Broecheler United States 5 121 1.1× 22 0.3× 29 0.7× 46 1.4× 18 0.6× 7 171
Shubha U. Nabar United States 8 230 2.1× 37 0.6× 75 1.9× 34 1.0× 82 2.9× 13 316
Yuanping Nie China 7 109 1.0× 12 0.2× 59 1.5× 82 2.5× 37 1.3× 31 202
Maurizio Ferrari Dacrema Italy 8 103 0.9× 32 0.5× 93 2.4× 8 0.2× 16 0.6× 26 187
Peter Lofgren United States 5 161 1.5× 80 1.3× 46 1.2× 34 1.0× 41 1.5× 7 219
Hiroyuki Shinnou Japan 7 227 2.0× 16 0.3× 81 2.1× 16 0.5× 32 1.1× 49 288
Shulin Liu China 7 273 2.5× 29 0.5× 64 1.6× 5 0.2× 14 0.5× 17 302

Countries citing papers authored by Giovanni Zappella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Ermiş, Beyza, Giovanni Zappella, Martin Wistuba, Aditya Rawal, & Cédric Archambeau. (2022). Continual Learning with Transformers for Image Classification. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3773–3780. 6 indexed citations
2.
Ermiş, Beyza, Giovanni Zappella, & Cédric Archambeau. (2021). Towards Robust Episodic Meta-Learning. 1 indexed citations
3.
Vernade, Claire, et al.. (2020). Linear bandits with Stochastic Delayed Feedback. 1. 9712–9721. 8 indexed citations
4.
Moerchen, Fabian, Patrick Erñst, & Giovanni Zappella. (2020). Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. 2661–2668. 6 indexed citations
5.
Vernade, Claire, et al.. (2018). Contextual Bandits under Delayed Feedback.. arXiv (Cornell University).
6.
Li, Shuai, Claudio Gentile, Alexandros Karatzoglou, & Giovanni Zappella. (2015). Data-Dependent Clustering in Exploration-Exploitation Algorithms.. 3 indexed citations
7.
Gentile, Claudio, Shuai Li, & Giovanni Zappella. (2014). Online Clustering of Bandits. arXiv (Cornell University). 3. 757–765. 35 indexed citations
8.
Gentile, Claudio, Shuai Li, & Giovanni Zappella. (2014). Supplementary Material to "Online Clustering of Bandits". 1 indexed citations
9.
Cesa‐Bianchi, Nicolò, Claudio Gentile, & Giovanni Zappella. (2013). A Gang of Bandits. arXiv (Cornell University). 26. 737–745. 17 indexed citations
10.
Cesa‐Bianchi, Nicolò, et al.. (2013). Random spanning trees and the prediction ofweighted graphs. Journal of Machine Learning Research. 14(1). 1251–1284. 2 indexed citations
11.
Zappella, Giovanni, Alexandros Karatzoglou, & Linas Baltrunas. (2013). Games of Friends: a game-theoretical approach for link prediction in online social networks. National Conference on Artificial Intelligence. 2 indexed citations
12.
Monti, Corrado, Alessandro Rozza, Giovanni Zappella, et al.. (2013). Modelling political disaffection from Twitter data. CBS Research Portal (Copenhagen Business School). 1–9. 20 indexed citations
13.
Cesa‐Bianchi, Nicolò, et al.. (2013). Active Learning on Trees and Graphs. arXiv (Cornell University). 320–332. 16 indexed citations
14.
Cesa‐Bianchi, Nicolò, et al.. (2012). A Linear Time Active Learning Algorithm for Link Classification. arXiv (Cornell University). 25. 1610–1618. 2 indexed citations
15.
Cesa‐Bianchi, Nicolò, et al.. (2012). A Correlation Clustering Approach to Link Classification in Signed Networks. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 23. 12 indexed citations
16.
Cesa‐Bianchi, Nicolò, et al.. (2012). Random Spanning Trees and the Prediction of Weighted Graphs. arXiv (Cornell University). 14(1). 175–182. 13 indexed citations
17.
Cesa‐Bianchi, Nicolò, et al.. (2011). See the Tree Through the Lines: The Shazoo Algorithm. arXiv (Cornell University). 24. 1584–1592. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ludovic Liétard Breakdown of academic impact, for papers by Róbert Ormándi Breakdown of academic impact, for papers by Matthias Broecheler Breakdown of academic impact, for papers by Shubha U. Nabar Breakdown of academic impact, for papers by Yuanping Nie Breakdown of academic impact, for papers by Maurizio Ferrari Dacrema Breakdown of academic impact, for papers by Peter Lofgren Breakdown of academic impact, for papers by Hiroyuki Shinnou Breakdown of academic impact, for papers by Shulin Liu
Rankless by CCL
2026