Marcello Trovati

1.6k total citations · 1 hit paper
49 papers, 893 citations indexed

About

Marcello Trovati is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Marcello Trovati has authored 49 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Marcello Trovati's work include Complex Network Analysis Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Advanced Text Analysis Techniques (5 papers). Marcello Trovati is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Network Security and Intrusion Detection (5 papers) and Advanced Text Analysis Techniques (5 papers). Marcello Trovati collaborates with scholars based in United Kingdom, China and Italy. Marcello Trovati's co-authors include Ella Pereira, Ardhendu Behera, Pradeep Hewage, Francesco Palmieri, Morteza Ghahremani, Yonghuai Liu, Nik Bessis, Xiaolong Xu, Mark Liptrott and Hao Yuan and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Applied Soft Computing.

In The Last Decade

Marcello Trovati

43 papers receiving 863 citations

Hit Papers

Temporal convolutional neural (TCN) network for an effect... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcello Trovati United Kingdom 11 247 194 138 116 112 49 893
Ella Pereira United Kingdom 11 170 0.7× 185 1.0× 133 1.0× 86 0.7× 119 1.1× 34 728
Roberto Corizzo United States 18 446 1.8× 178 0.9× 159 1.2× 75 0.6× 113 1.0× 64 990
Boriana L. Milenova United States 7 398 1.6× 132 0.7× 112 0.8× 81 0.7× 77 0.7× 11 1.1k
Abderrazak Sebaa Algeria 7 175 0.7× 198 1.0× 83 0.6× 145 1.3× 113 1.0× 18 639
Kumar Abhishek India 18 488 2.0× 199 1.0× 215 1.6× 146 1.3× 132 1.2× 82 1.2k
Hansika Hewamalage Australia 5 252 1.0× 310 1.6× 136 1.0× 285 2.5× 174 1.6× 6 995
Jun Feng China 17 444 1.8× 122 0.6× 357 2.6× 63 0.5× 97 0.9× 86 1.3k
J. F. Torres Spain 11 316 1.3× 445 2.3× 148 1.1× 234 2.0× 151 1.3× 22 1.1k
Bryan Lim Australia 8 304 1.2× 207 1.1× 102 0.7× 276 2.4× 266 2.4× 11 1.1k
Jiabin Yuan China 11 354 1.4× 315 1.6× 69 0.5× 114 1.0× 52 0.5× 50 938

Countries citing papers authored by Marcello Trovati

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Trovati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcello Trovati

This figure shows the co-authorship network connecting the top 25 collaborators of Marcello Trovati. A scholar is included among the top collaborators of Marcello Trovati 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 Marcello Trovati. Marcello Trovati 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.
Trovati, Marcello, et al.. (2025). Retrieval-Augmented Generation to Generate Knowledge Assets and Creation of Action Drivers. Applied Sciences. 15(11). 6247–6247. 2 indexed citations
2.
Trovati, Marcello, et al.. (2025). Real-time anomaly detection in seasonal time series with conditional variational autoencoder. Applied Soft Computing. 184. 113761–113761. 1 indexed citations
3.
Deng, X.T., Marcello Trovati, Nonso Nnamoko, et al.. (2025). A Review of the State of the Art for the Internet of Medical Things. Sci. 7(2). 36–36. 2 indexed citations
4.
Polatidis, Nikolaos, Stelios Kapetanakis, Marcello Trovati, Ioannis Korkontzelos, & Yannis Manolopoulos. (2024). FSSDroid: Feature subset selection for Android malware detection. World Wide Web. 27(5). 4 indexed citations
5.
Trovati, Marcello, et al.. (2024). Volumetric Techniques for Product Routing and Loading Optimisation in Industry 4.0: A Review. Future Internet. 16(2). 39–39. 1 indexed citations
6.
Xu, Xiaolong, et al.. (2023). MLPKV: A Local Differential Multi-Layer Private Key-Value Data Collection Scheme for Edge Computing Environments. IEEE Transactions on Information Forensics and Security. 18. 1825–1838. 3 indexed citations
7.
Pavlidis, Michalis, et al.. (2023). MadDroid: malicious adware detection in Android using deep learning. Edge Hill University Research Information Repository (Edge Hill University). 8(3). 163–190. 3 indexed citations
8.
Trovati, Marcello, et al.. (2023). Artificial Intuition for Automated Decision-Making. Applied Artificial Intelligence. 37(1). 6 indexed citations
9.
Pandey, Hari Mohan, Marcello Trovati, & Nik Bessis. (2021). Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms. Applied Soft Computing. 102. 107087–107087. 1 indexed citations
10.
Xu, Xiaolong, Lei Zhang, Marcello Trovati, et al.. (2021). PERMS: An efficient rescue route planning system in disasters. Applied Soft Computing. 111. 107667–107667. 18 indexed citations
11.
Garg, Lalit, Sally McClean, Maria Barton, et al.. (2021). Evaluating Different Selection Criteria for Phase Type Survival Tree Construction. Big Data Research. 25. 100250–100250. 3 indexed citations
12.
Hewage, Pradeep, Ardhendu Behera, Marcello Trovati, et al.. (2020). Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft Computing. 24(21). 16453–16482. 370 indexed citations breakdown →
13.
Hewage, Pradeep, Marcello Trovati, Ella Pereira, & Ardhendu Behera. (2020). Deep learning-based effective fine-grained weather forecasting model. Pattern Analysis and Applications. 24(1). 343–366. 147 indexed citations
14.
Xu, Xiaolong, et al.. (2019). DLCD-CCE: A Local Community Detection Algorithm for Complex IoT Networks. IEEE Internet of Things Journal. 7(5). 4607–4615. 8 indexed citations
15.
Yuan, Hao, et al.. (2019). GORTS: genetic algorithm based on one-by-one revision of two sides for dynamic travelling salesman problems. Soft Computing. 24(10). 7197–7210. 6 indexed citations
16.
Trovati, Marcello, et al.. (2019). An Entropy-Based Approach to Real-Time Information Extraction for Industry 4.0. IEEE Transactions on Industrial Informatics. 16(9). 6033–6041. 9 indexed citations
17.
Xu, Xiaolong, Hao Yuan, Mark Liptrott, & Marcello Trovati. (2017). Two phase heuristic algorithm for the multiple-travelling salesman problem. Soft Computing. 22(19). 6567–6581. 43 indexed citations
18.
Xu, Xiaolong, et al.. (2016). CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems. Soft Computing. 22(3). 783–795. 73 indexed citations
19.
Trovati, Marcello, et al.. (2016). Logistic Regression Multinomial for Arrhythmia Detection. Edge Hill University Research Information Repository (Edge Hill University). 133–137. 6 indexed citations
20.
Hill, Richard, et al.. (2015). Guide to Security Assurance for Cloud Computing. DIAL (Catholic University of Leuven). 10 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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