2026 Cesare Alippi: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	54	4559	4430	96	94	329	11814

Research.com Recognitions

2006 - IEEE Fellow For contributions to robustness and application-level synthesis of embedded information processing systems.

Overview

Cesare Alippi is affiliated with the Polytechnic University of Milan in Italy. Their research spans computer science and engineering, with a particular focus on artificial intelligence and electrical and electronic engineering. Their work concentrates on subfields such as artificial intelligence, computer vision and pattern recognition, signal processing, and cognitive neuroscience.

Alippi's research topics include advanced graph neural networks, time series analysis and forecasting, anomaly detection techniques and applications, data stream mining techniques, graph theory and algorithms, neural networks and applications, and machine learning in materials science.

Frequent coauthors collaborating with Alippi include Andrea Cini, Daniele Zambon, Ivan Marisca, Daniele Grattarola, and Filippo Maria Bianchi.

They have published extensively in venues such as arXiv (Cornell University), IEEE Transactions on Neural Networks and Learning Systems, IEEE Computational Intelligence Magazine, 2022 International Joint Conference on Neural Networks (IJCNN), and IEEE Transactions on Pattern Analysis and Machine Intelligence.

Among their recent papers are:

Graph Neural Networks with Convolutional ARMA Filters (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection (2024), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Neural Networks in TensorFlow and Keras with Spektral [Application Notes] (2021), published in IEEE Computational Intelligence Magazine
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning (2022), published in IEEE Transactions on Neural Networks and Learning Systems
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks (2020), published in IEEE/CAA Journal of Automatica Sinica

Cesare Alippi was recognized as an IEEE Fellow in 2006 for contributions to robustness and application-level synthesis of embedded information processing systems.

Best Publications

Learning in Nonstationary Environments: A Survey

Gregory Ditzler;Manuel Roveri;Cesare Alippi;Robi Polikar

857
Citations
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy

Andrea Dal Pozzolo;Giacomo Boracchi;Olivier Caelen;Cesare Alippi

597
Citations
An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes

C. Alippi;C. Galperti

585
Citations
Genetic-algorithm programming environments

J.L. Ribeiro Filho;P.C. Treleaven;C. Alippi

435
Citations
Graph Neural Networks with convolutional ARMA filters

Filippo Maria Bianchi;Daniele Grattarola;Lorenzo Livi;Cesare Alippi

426
Citations
A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring

C Alippi;R Camplani;C Galperti;M Roveri

350
Citations
Energy management in wireless sensor networks with energy-hungry sensors

C. Alippi;G. Anastasi;M. Di Francesco;M. Roveri

301
Citations
A RSSI-based and calibrated centralized localization technique for wireless sensor networks

C. Alippi;G. Vanini

256
Citations
Advances in Computational Intelligence

Jing Liu;Cesare Alippi;Bernadette Bouchon-Meunier;Garrison W. Greenwood

245
Citations
An Adaptive Sampling Algorithm for Effective Energy Management in Wireless Sensor Networks With Energy-Hungry Sensors

C. Alippi;G. Anastasi;M. Di Francesco;M. Roveri

239
Citations
Spectral Clustering with Graph Neural Networks for Graph Pooling

Filippo Maria Bianchi;Daniele Grattarola;Cesare Alippi

234
Citations
Graph Neural Networks in TensorFlow and Keras with Spektral

Daniele Grattarola;Cesare Alippi

219
Citations
Deep learning for time series forecasting: The electric load case

Alberto Gasparin;Slobodan Lukovic;Cesare Alippi;Cesare Alippi

209
Citations
Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes

C. Alippi;M. Roveri

186
Citations
Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications

C. Alippi;G. Anastasi;C. Galperti;F. Mancini

184
Citations
Composite real-time image processing for railways track profile measurement

C. Alippi;E. Casagrande;F. Scotti;V. Piuri

176
Citations
Just-In-Time Classifiers for Recurrent Concepts

C. Alippi;G. Boracchi;M. Roveri

174
Citations
Moving convolutional neural networks to embedded systems: the alexnet and VGG-16 case

Cesare Alippi;Simone Disabato;Manuel Roveri

162
Citations
Data-based fault tolerant control for affine nonlinear systems through particle swarm optimized neural networks

Haowei Lin;Bo Zhao;Derong Liu;Cesare Alippi

126
Citations
Credit card fraud detection and concept-drift adaptation with delayed supervised information

Andrea Dal Pozzolo;Giacomo Boracchi;Olivier Caelen;Cesare Alippi

123
Citations
Artificial neural networks

Vincenzo Piuri;Cesare Alippi

32
Citations
Fault Diagnosis Systems

Cesare Alippi

2
Citations

Frequent Co-Authors

Vincenzo Piuri University of Milan

Dongbin Zhao Chinese Academy of Sciences

Fabio Scotti University of Milan

Derong Liu University of Illinois at Chicago

Ada Fort University of Siena

Marios M. Polycarpou University of Cyprus

Huaguang Zhang Northeastern University

Haibo He University of Rhode Island

Giuseppe Anastasi University of Pisa

Franco Maloberti University of Pavia

External Links

Personal website of Cesare Alippi Google Scholar page

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