Simone Scardapane

6.0k citations

133 papers · 3.8k · 2 hit papers · h-index 27

Impact in

Health Informatics top 1%
Artificial Intelligence top 0.5%
- Neural Networks and Applications
- Machine Learning and ELM
- Neural Networks and Reservoir Computing
- Domain Adaptation and Few-Shot Learning
- Explainable Artificial Intelligence (XAI)
- Advanced Graph Neural Networks

Papers in

Artificial Intelligence 80
- Machine Learning and ELM 26
- Neural Networks and Applications 26
- Domain Adaptation and Few-Shot Learning 17
- Neural Networks and Reservoir Computing 11
Computer Vision and Pattern Recognition 40

Co-authors: Aurelio Uncini (66 shared papers)Amir Hussain (10 shared papers)D.H. Wang (5 shared papers)Indro Spinelli (11 shared papers)Danilo Comminiello (38 shared papers)Massimo Panella (15 shared papers)Vinay Chamola (2 shared papers)Kaizhu Huang (2 shared papers)
Journals: Neural Networks (10 papers)IEEE Transactions on Neural Networks and Learning Systems (7 papers)Neurocomputing (6 papers)Cognitive Computation (5 papers)Information Sciences (3 papers)
Partner nations: Italy United Kingdom Spain

In The Last Decade

Simone Scardapane

120 papers receiving 3.7k citations

Simone Scardapane's Hit Papers

align trajectories log scale

Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence 2023 · 1.1k citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2023 Cognitive Computation
2017 Neurocomputing

Peers

Countries citing papers authored by Simone Scardapane

Since Specialization

Citations

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

Fields of papers citing papers by Simone Scardapane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Simone Scardapane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Scardapane Line = papers co-authored together Simone Scardapane links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence Cognitive Computation ·Vikas Hassija, Vinay Chamola, (unknown), Abhinandan Singal, Divyansh Goel, Kaizhu Huang, Simone Scardapane, Indro Spinelli, Mufti Mahmud, Amir Hussain Hit paper breakdown →	2023	1090
2	Group sparse regularization for deep neural networks Neurocomputing ·Simone Scardapane, Danilo Comminiello, Amir Hussain, Aurelio Uncini Hit paper breakdown →	2017	311
3	Randomness in neural networks: an overview Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Simone Scardapane, D.H. Wang	2017	259
4	Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. PubMed ·Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen	2021	148
5	Distributed learning for Random Vector Functional-Link networks Information Sciences ·Simone Scardapane, D.H. Wang, Massimo Panella, Aurelio Uncini	2015	131
6	Online Sequential Extreme Learning Machine With Kernels IEEE Transactions on Neural Networks and Learning Systems ·Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini	2014	128
7	Missing data imputation with adversarially-trained graph convolutional networks Neural Networks ·Indro Spinelli, Simone Scardapane, Aurelio Uncini	2020	127
8	A decentralized training algorithm for Echo State Networks in distributed big data applications Neural Networks ·Simone Scardapane, D.H. Wang, Massimo Panella	2015	87
9	Adaptive Propagation Graph Convolutional Network IEEE Transactions on Neural Networks and Learning Systems ·Indro Spinelli, Simone Scardapane, Aurelio Uncini	2020	79
10	Prediction of telephone calls load using Echo State Network with exogenous variables Neural Networks ·Filippo Maria Bianchi, Simone Scardapane, Aurelio Uncini, Antonello Rizzi, Alireza Sadeghian	2015	66
11	FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning IEEE Transactions on Artificial Intelligence ·Indro Spinelli, Simone Scardapane, Amir Hussain, Aurelio Uncini	2021	62
12	Kafnets: Kernel-based non-parametric activation functions for neural networks IRIS Research product catalog (Sapienza University of Rome) ·Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini	2019	59
13	Complex-valued neural networks with nonparametric activation functions IRIS Research product catalog (Sapienza University of Rome) ·Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain, Aurelio Uncini	2020	58
14	Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach VBN Forskningsportal (Aalborg Universitet) ·Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Denız Gündüz, P. Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Boldi Renato, Tony Q. S. Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li	2024	51
15	Distributed semi-supervised support vector machines Neural Networks ·Simone Scardapane, Roberto Fierimonte, Paolo Di Lorenzo, Massimo Panella, Aurelio Uncini	2016	45
16	Quaternion Convolutional Neural Networks for Detection and Localization of 3D Sound Events arXiv (Cornell University) ·Danilo Comminiello, Marco Lella, Simone Scardapane, Aurelio Uncini	2019	43
17	A semi-supervised random vector functional-link network based on the transductive framework Information Sciences ·Simone Scardapane, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini	2015	41
18	Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion IEEE Transactions on Neural Networks and Learning Systems ·Roberto Fierimonte, Simone Scardapane, Aurelio Uncini, Massimo Panella	2016	41
19	Deep Randomized Neural Networks Studies in computational intelligence ·Claudio Gallicchio, Simone Scardapane	2020	38
20	Explainable Spatio-Temporal Graph Neural Networks for multi-site photovoltaic energy production Applied Energy ·Alessio Verdone, Simone Scardapane, Massimo Panella	2023	38

About Simone Scardapane

Simone Scardapane is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Media Technology, having authored 133 papers that have together received 3.8k indexed citations. Recurring topics across this work include Machine Learning and ELM (26 papers), Neural Networks and Applications (26 papers), Domain Adaptation and Few-Shot Learning (17 papers), Speech and Audio Processing (17 papers), Advanced Adaptive Filtering Techniques (15 papers), Neural Networks and Reservoir Computing (11 papers), Advanced Memory and Neural Computing (10 papers) and Sparse and Compressive Sensing Techniques (10 papers). The work is most often cited by research in Health Informatics (107 citations), Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (674 citations), Signal Processing (337 citations) and Computational Mechanics (275 citations). Simone Scardapane has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Aurelio Uncini, Amir Hussain, D.H. Wang, Indro Spinelli, Danilo Comminiello, Massimo Panella, Vinay Chamola, Kaizhu Huang, Mufti Mahmud and Vikas Hassija. Their work appears in journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Cognitive Computation and Information Sciences.

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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