Nicolò Navarin

2.4k total citations
73 papers, 581 citations indexed

About

Nicolò Navarin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Nicolò Navarin has authored 73 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 21 papers in Computer Vision and Pattern Recognition and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Nicolò Navarin's work include Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (12 papers) and Graph Theory and Algorithms (8 papers). Nicolò Navarin is often cited by papers focused on Advanced Graph Neural Networks (27 papers), Complex Network Analysis Techniques (12 papers) and Graph Theory and Algorithms (8 papers). Nicolò Navarin collaborates with scholars based in Italy, Germany and United Kingdom. Nicolò Navarin's co-authors include Alessandro Sperduti, Giovanni Da San Martino, Tran Van Dinh, Luca Oneto, Merylin Monaro, Michele Donini, Fabio Aiolli, Davide Anguita, Cristina Scarpazza and Giuseppe Sartori and has published in prestigious journals such as Bioinformatics, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Nicolò Navarin

68 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolò Navarin Italy 15 325 105 74 71 68 73 581
Aly A. Fahmy Egypt 9 469 1.4× 60 0.6× 29 0.4× 49 0.7× 47 0.7× 24 740
Kai Xu Australia 14 127 0.4× 341 3.2× 22 0.3× 42 0.6× 92 1.4× 65 576
Yao Ming China 10 311 1.0× 237 2.3× 32 0.4× 19 0.3× 21 0.3× 30 530
Michael Johanson Canada 14 915 2.8× 72 0.7× 22 0.3× 21 0.3× 31 0.5× 19 1.2k
Ivano Lauriola Italy 6 266 0.8× 80 0.8× 42 0.6× 31 0.4× 11 0.2× 17 500
Yulong Pei Netherlands 14 388 1.2× 86 0.8× 25 0.3× 49 0.7× 194 2.9× 71 703
Hadi Veisi Iran 15 522 1.6× 81 0.8× 27 0.4× 19 0.3× 42 0.6× 94 838
Elior Sulem Israel 8 611 1.9× 85 0.8× 27 0.4× 42 0.6× 8 0.1× 12 870
Oscar Sainz Spain 4 432 1.3× 66 0.6× 27 0.4× 47 0.7× 7 0.1× 8 686

Countries citing papers authored by Nicolò Navarin

Since Specialization
Citations

This map shows the geographic impact of Nicolò Navarin'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 Nicolò Navarin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolò Navarin more than expected).

Fields of papers citing papers by Nicolò Navarin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolò Navarin. 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 Nicolò Navarin. The network helps show where Nicolò Navarin may publish in the future.

Co-authorship network of co-authors of Nicolò Navarin

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolò Navarin. A scholar is included among the top collaborators of Nicolò Navarin 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 Nicolò Navarin. Nicolò Navarin 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.
Navarin, Nicolò, et al.. (2025). Informed machine learning for complex data. Neurocomputing. 669. 132505–132505.
2.
Pietrini, Pietro, et al.. (2025). Detecting Deception Through Linguistic Cues: From Reality Monitoring to Natural Language Processing. Journal of Language and Social Psychology. 44(3-4). 523–552. 1 indexed citations
3.
4.
Bacciu, Davide, Federico Errica, Alessio Micheli, et al.. (2023). Graph Representation Learning. CINECA IRIS Institutial research information system (University of Pisa). 1–10. 1 indexed citations
5.
Navarin, Nicolò, et al.. (2023). A unified framework for backpropagation-free soft and hard gated graph neural networks. Knowledge and Information Systems. 66(4). 2393–2416. 1 indexed citations
6.
Monaro, Merylin, et al.. (2023). On the problem of recommendation for sensitive users and influential items: Simultaneously maintaining interest and diversity. Knowledge-Based Systems. 275. 110699–110699. 8 indexed citations
7.
Fietta, Valentina, Nicolò Navarin, Merylin Monaro, & Ombretta Gaggi. (2023). Women and Gender Disparities in Computer Science: A Case Study at the University of Padua. Research Padua Archive (University of Padua). 82–91.
8.
Navarin, Nicolò, et al.. (2023). Topology preserving maps as aggregations for Graph Convolutional Neural Networks. Research Padua Archive (University of Padua). 536–543. 4 indexed citations
9.
Leoni, Massimiliano de, et al.. (2023). An explainable decision support system for predictive process analytics. Engineering Applications of Artificial Intelligence. 120. 105904–105904. 22 indexed citations
10.
Martino, Giovanni Da San, et al.. (2022). Machine Learning and MADIT methodology for the fake news identification: the persuasion index. RiuNet (Politechnical University of Valencia). 3 indexed citations
11.
Monaro, Merylin, et al.. (2022). Forged handwriting verification: a public domain dataset for training machine learning models. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 2 indexed citations
12.
Monaro, Merylin, et al.. (2021). Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models. Computers in Human Behavior. 127. 107063–107063. 47 indexed citations
13.
14.
Scarpazza, Cristina, Livio Finos, Sarah Genon, et al.. (2021). Idiopathic and acquired pedophilia as two distinct disorders: an insight from neuroimaging. Brain Imaging and Behavior. 15(5). 2681–2692. 11 indexed citations
15.
Oneto, Luca, Nicolò Navarin, & Michele Donini. (2020). Learning Deep Fair Graph Neural Networks.. The European Symposium on Artificial Neural Networks. 31–36. 5 indexed citations
16.
Oneto, Luca, Nicolò Navarin, Michele Donini, & Davide Anguita. (2018). Emerging trends in machine learning: beyond conventional methods and data.. Research Padua Archive (University of Padua). 1 indexed citations
17.
Oneto, Luca, Nicolò Navarin, Michele Donini, et al.. (2017). Measuring the expressivity of graph kernels through Statistical Learning Theory. Neurocomputing. 268. 4–16. 9 indexed citations
18.
Oneto, Luca, Nicolò Navarin, Alessandro Sperduti, & Davide Anguita. (2017). Multilayer Graph Node Kernels: Stacking While Maintaining Convexity. Neural Processing Letters. 48(2). 649–667. 4 indexed citations
19.
Martino, Giovanni Da San, Nicolò Navarin, & Alessandro Sperduti. (2013). A lossy counting based approach for learning on streams of graphs on a budget. Research Padua Archive (University of Padua). 1294–1301. 10 indexed citations
20.
Martino, Giovanni Da San, Nicolò Navarin, & Alessandro Sperduti. (2012). A Tree-Based Kernel for Graphs. 975–986. 28 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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