Ugo Fiore

3.9k total citations · 4 hit papers
97 papers, 2.7k citations indexed

About

Ugo Fiore is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ugo Fiore has authored 97 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 32 papers in Electrical and Electronic Engineering and 29 papers in Artificial Intelligence. Recurrent topics in Ugo Fiore's work include Network Security and Intrusion Detection (15 papers), Advanced Optical Network Technologies (13 papers) and Cloud Computing and Resource Management (11 papers). Ugo Fiore is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Advanced Optical Network Technologies (13 papers) and Cloud Computing and Resource Management (11 papers). Ugo Fiore collaborates with scholars based in Italy, Spain and India. Ugo Fiore's co-authors include Francesco Palmieri, Alfredo De Santis, Aniello Castiglione, P Zanetti, Sergio Ricciardi, Francesca Perla, G. R. Gangadharan, Chandrashekar Jatoth, Amir M. Fathollahi‐Fard and Leila Moslemi Naeni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Renewable Energy.

In The Last Decade

Ugo Fiore

94 papers receiving 2.5k 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.

Using generative adversarial networks for improving classification effectiveness in credit card fraud detection

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

2013 259 citations Ugo Fiore, Francesco Palmieri et al. profile →
Blockchain in supply chain management: a review, bibliometric, and network analysis

2021 185 citations Ugo Fiore et al. profile →
To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts

2022 125 citations Ugo Fiore et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ugo Fiore Italy	27	1.1k	1.0k	690	511	301	97	2.7k
Yunchuan Sun China	28	804 0.7×	816 0.8×	739 1.1×	520 1.0×	188 0.6×	138	2.9k
Qianmu Li China	27	919 0.8×	1.0k 1.0×	902 1.3×	299 0.6×	275 0.9×	222	2.5k
Jamal Bentahar Canada	30	1.3k 1.2×	1.5k 1.5×	1.3k 1.9×	429 0.8×	152 0.5×	215	3.3k
Karl Andersson Sweden	31	855 0.8×	1.0k 1.0×	996 1.4×	425 0.8×	205 0.7×	200	3.5k
Chun‐Wei Tsai Taiwan	27	1.7k 1.6×	1.1k 1.1×	1.2k 1.7×	584 1.1×	224 0.7×	152	3.8k
Kuo‐Ming Chao United Kingdom	28	888 0.8×	717 0.7×	1.0k 1.5×	242 0.5×	166 0.6×	201	2.7k
Stathes Hadjiefthymiades Greece	22	993 0.9×	526 0.5×	604 0.9×	412 0.8×	245 0.8×	179	2.2k
Chunming Rong Norway	32	1.4k 1.2×	1.3k 1.3×	1.8k 2.5×	618 1.2×	204 0.7×	224	3.5k
Wenny Rahayu Australia	29	2.0k 1.8×	1.0k 1.0×	1.3k 1.9×	564 1.1×	506 1.7×	156	3.6k
Muhammad Shiraz Malaysia	28	1.7k 1.6×	514 0.5×	1.4k 2.0×	685 1.3×	310 1.0×	66	2.8k

Countries citing papers authored by Ugo Fiore

Since Specialization

Citations

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

Fields of papers citing papers by Ugo Fiore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugo Fiore

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fiore, Ugo, et al.. (2025). Generative models with helical time encoding for seasonal time series forecasting. Engineering Applications of Artificial Intelligence. 162. 112780–112780.

Thomas, J. Joshua, et al.. (2025). LLM-guided semantic feature selection for interpretable financial market forecasting in low-resource financial markets. Franklin Open. 12. 100359–100359.

Dhal, Pradip, et al.. (2025). A clinical diabetes prediction based support system based on the multi-objective metaheuristic inspired fine tuning deep network. Information Fusion. 122. 103188–103188. 1 indexed citations

Gellért, Árpád, et al.. (2024). Estimating electricity consumption at city-level through advanced machine learning methods. Connection Science. 36(1). 3 indexed citations

Fiore, Ugo, et al.. (2024). Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction. Computers & Electrical Engineering. 118. 109302–109302. 16 indexed citations

Gellért, Árpád, et al.. (2024). Electricity consumption forecasting for sustainable smart cities using machine learning methods. Internet of Things. 27. 101322–101322. 9 indexed citations

Tiwari, Vaibhav, et al.. (2023). A Knapsack-based Metaheuristic for Edge Server Placement in 5G networks with heterogeneous edge capacities. Future Generation Computer Systems. 153. 222–233. 16 indexed citations

Florea, Adrian, et al.. (2023). Digital farming based on a smart and user‐friendly IoT irrigation system: A conifer nursery case study. IET Cyber-Physical Systems Theory & Applications. 9(2). 150–168. 5 indexed citations

Gellért, Árpád, et al.. (2022). Electricity production and consumption modeling through fuzzy logic. International Journal of Intelligent Systems. 37(11). 8348–8364. 9 indexed citations

10.

Fiore, Ugo, et al.. (2022). Applied Optimization in Clean and Renewable Energy: New Trends. Applied Sciences. 12(13). 6572–6572. 2 indexed citations

11.

Kovalev, А.A., Д.А. Ковалев, А. Н. Ножевникова, et al.. (2021). The Start-Up of Continuous Biohydrogen Production from Cheese Whey: Comparison of Inoculum Pretreatment Methods and Reactors with Moving and Fixed Polyurethane Carriers. Applied Sciences. 11(2). 510–510. 30 indexed citations

12.

Fiore, Ugo, et al.. (2021). Digitization, Epistemic Proximity, and the Education System: Insights from a Bibliometric Analysis. Journal of risk and financial management. 14(6). 267–267. 5 indexed citations

13.

Kovalev, А.A., Д.А. Ковалев, Elena A. Zhuravleva, et al.. (2021). Two-stage anaerobic digestion with direct electric stimulation of methanogenesis: The effect of a physical barrier to retain biomass on the surface of a carbon cloth-based biocathode. Renewable Energy. 181. 966–977. 37 indexed citations

14.

Gellért, Árpád, et al.. (2021). An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems. Applied Sciences. 11(7). 3278–3278. 10 indexed citations

15.

Gellért, Árpád, Adrian Florea, Ugo Fiore, Francesco Palmieri, & P Zanetti. (2019). A study on forecasting electricity production and consumption in smart cities and factories. International Journal of Information Management. 49. 546–556. 44 indexed citations

16.

Montorio, Daniela, et al.. (2019). Evaluation of corneal epithelial thickness in glaucomatous patients using anterior‐segment optical coherence tomography. Journal of Biophotonics. 13(1). e201900095–e201900095. 13 indexed citations

17.

Gellért, Árpád, Adrian Florea, Ugo Fiore, P Zanetti, & Lucian Vinţan. (2018). Performance and energy optimisation in CPUs through fuzzy knowledge representation. Information Sciences. 476. 375–391. 15 indexed citations

18.

Castiglione, Arcangelo, Francesco Palmieri, Ugo Fiore, Aniello Castiglione, & Alfredo De Santis. (2014). Modeling energy-efficient secure communications in multi-mode wireless mobile devices. Journal of Computer and System Sciences. 81(8). 1464–1478. 43 indexed citations

19.

Palmieri, Francesco, Ugo Fiore, & Aniello Castiglione. (2011). Automatic Security Assessment for Next Generation Wireless Mobile Networks. SHILAP Revista de lepidopterología. 25 indexed citations

20.

Palmieri, Francesco & Ugo Fiore. (2005). Genetic-based traffic engineering in GMPLS networks. 502–507. 1 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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