Francesco Palmieri

8.2k total citations · 3 hit papers
234 papers, 5.5k citations indexed

About

Francesco Palmieri is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Palmieri has authored 234 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Computer Networks and Communications, 78 papers in Artificial Intelligence and 62 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Palmieri's work include Network Security and Intrusion Detection (38 papers), Internet Traffic Analysis and Secure E-voting (24 papers) and Advanced Malware Detection Techniques (24 papers). Francesco Palmieri is often cited by papers focused on Network Security and Intrusion Detection (38 papers), Internet Traffic Analysis and Secure E-voting (24 papers) and Advanced Malware Detection Techniques (24 papers). Francesco Palmieri collaborates with scholars based in Italy, Spain and China. Francesco Palmieri's co-authors include Aniello Castiglione, Ugo Fiore, Gianni D’Angelo, Massimo Ficco, Alfredo De Santis, Christian Esposito, Arcangelo Castiglione, P Zanetti, Sergio Ricciardi and Francesca Perla and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Francesco Palmieri

223 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

2020 370 citations Marcello Trovati, Francesco Palmieri et al. profile →
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

2017 364 citations Ugo Fiore, Alfredo De Santis et al. profile →
Network anomaly detection with the restricted Boltzmann machine

2013 259 citations Ugo Fiore, Francesco Palmieri et al. profile →

Peers

Countries citing papers authored by Francesco Palmieri

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Palmieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Palmieri

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Palmieri. A scholar is included among the top collaborators of Francesco Palmieri 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 Francesco Palmieri. Francesco Palmieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Real-time anomaly detection in seasonal time series with conditional variational autoencoder 2025 ·Applied Soft Computing ·(unknown), Marcello Trovati, Francesco Palmieri	1
2	Estimating electricity consumption at city-level through advanced machine learning methods 2024 ·Connection Science ·Árpád Gellért, (unknown), Adrian Florea, (unknown), Ugo Fiore, Francesco Palmieri	3
3	Special Issue on integration of machine learning and edge computing for next generation of smart wearable systems 2024 ·Future Generation Computer Systems ·Paolo Gastaldo, Edoardo Ragusa, Strahinja Došen, Francesco Palmieri	1
4	A hound-inspired pre-hybridized genetic approach for router placement in wireless mesh networks 2024 ·Applied Soft Computing ·Gianni D’Angelo, Francesco Palmieri	0
5	Electricity consumption forecasting for sustainable smart cities using machine learning methods 2024 ·Internet of Things ·(unknown), (unknown), (unknown), Árpád Gellért, Ugo Fiore, (unknown), Francesco Palmieri	9
6	Numerical solution of delay Volterra functional integral equations with variable bounds 2023 ·Applied Numerical Mathematics ·Dajana Conte, (unknown), (unknown), Francesco Palmieri, Beatrice Paternoster	1
7	MLPKV: A Local Differential Multi-Layer Private Key-Value Data Collection Scheme for Edge Computing Environments 2023 ·IEEE Transactions on Information Forensics and Security ·Xiaolong Xu, (unknown), Marcello Trovati, Francesco Palmieri	3
8	When explainability turns into a threat - using xAI to fool a fake news detection method 2023 ·Computers & Security ·Rafał Kozik, Massimo Ficco, Aleksandra Pawlicka, Marek Pawlicki, Francesco Palmieri, Michał Choraś	11
9	Electricity production and consumption modeling through fuzzy logic 2022 ·International Journal of Intelligent Systems ·(unknown), Árpád Gellért, Ugo Fiore, Francesco Palmieri	9
10	PERMS: An efficient rescue route planning system in disasters 2021 ·Applied Soft Computing ·Xiaolong Xu, Lei Zhang, Marcello Trovati, Francesco Palmieri, Eleana Asimakopoulou, (unknown), Nik Bessis	18
11	An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems 2021 ·Applied Sciences ·Árpád Gellért, (unknown), Bogdan-Constantin Pîrvu, Ugo Fiore, Constantin-Bălă Zamfirescu, Francesco Palmieri	10
12	DLCD-CCE: A Local Community Detection Algorithm for Complex IoT Networks 2019 ·IEEE Internet of Things Journal ·Xiaolong Xu, Nan Hu, Marcello Trovati, (unknown), Francesco Palmieri, Hari Mohan Pandey	8
13	A study on forecasting electricity production and consumption in smart cities and factories 2019 ·International Journal of Information Management ·Árpád Gellért, Adrian Florea, Ugo Fiore, Francesco Palmieri, P Zanetti	44
14	Ambient Intelligence in the Internet of Things 2017 ·Mobile Information Systems ·Sergio Ricciardi, (unknown), Francesco Palmieri, María Bermúdez-Edo	2
15	A collaborative clinical analysis service based on theory of evidence, fuzzy linguistic sets and prospect theory and its application to craniofacial disorders in infants 2016 ·Future Generation Computer Systems ·Arcangelo Castiglione, Raffaele Pizzolante, Christian Esposito, Alfredo De Santis, Francesco Palmieri, Aniello Castiglione	16
16	Secure and reliable data communication in developing regions and rural areas 2015 ·Pervasive and Mobile Computing ·Arcangelo Castiglione, Raffaele Pizzolante, Francesco Palmieri, Alfredo De Santis, Bruno Carpentieri, Aniello Castiglione	6
17	Condensation-Based Routing in Mobile Ad-Hoc Networks 2012 ·SHILAP Revista de lepidopterología ·Francesco Palmieri, Aniello Castiglione	14
18	Automatic Security Assessment for Next Generation Wireless Mobile Networks 2011 ·SHILAP Revista de lepidopterología ·Francesco Palmieri, Ugo Fiore, Aniello Castiglione	25
19	Genetic-based traffic engineering in GMPLS networks 2005 ·Francesco Palmieri, Ugo Fiore	1
20	The Diversification Role of Crossover in the Genetic Algorithms 1993 ·international conference on Genetic algorithms ·Xiaofeng Qi, Francesco Palmieri	7

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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