Vincenzo Dentamaro

856 total citations
29 papers, 500 citations indexed

About

Vincenzo Dentamaro is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Vincenzo Dentamaro has authored 29 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Vincenzo Dentamaro's work include Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Human Pose and Action Recognition (5 papers). Vincenzo Dentamaro is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Anomaly Detection Techniques and Applications (6 papers) and Human Pose and Action Recognition (5 papers). Vincenzo Dentamaro collaborates with scholars based in Italy, United States and Canada. Vincenzo Dentamaro's co-authors include Giuseppe Pirlo, Donato Impedovo, Tiziana D’Orazio, Roberto Marani, Grazia Cicirelli, Fabrizio Balducci, Fabio Manca, Paolo Taurisano, Giancarlo Cicolini and Michela Piredda and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Vincenzo Dentamaro

27 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincenzo Dentamaro Italy 14 136 125 122 85 78 29 500
Enrique de la Cal Spain 10 173 1.3× 127 1.0× 119 1.0× 66 0.8× 39 0.5× 37 408
Rosemarie Velik Austria 15 75 0.6× 99 0.8× 177 1.5× 42 0.5× 37 0.5× 45 659
Iain Murray Australia 14 113 0.8× 195 1.6× 49 0.4× 37 0.4× 25 0.3× 100 569
Odongo Steven Eyobu Uganda 10 191 1.4× 140 1.1× 119 1.0× 83 1.0× 100 1.3× 27 654
Ferhat Attal France 10 481 3.5× 347 2.8× 167 1.4× 152 1.8× 41 0.5× 19 858
Xiaomao Fan China 16 116 0.9× 353 2.8× 175 1.4× 88 1.0× 80 1.0× 67 1.3k
Long Cheng China 14 71 0.5× 170 1.4× 93 0.8× 19 0.2× 28 0.4× 32 452
Jaehak Yu South Korea 13 70 0.5× 55 0.4× 180 1.5× 227 2.7× 93 1.2× 37 617
Aleksandar Vakanski United States 16 411 3.0× 139 1.1× 428 3.5× 36 0.4× 63 0.8× 42 1.1k
Hamit Erdem Türkiye 10 49 0.4× 48 0.4× 226 1.9× 193 2.3× 145 1.9× 33 445

Countries citing papers authored by Vincenzo Dentamaro

Since Specialization
Citations

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

Fields of papers citing papers by Vincenzo Dentamaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincenzo Dentamaro

This figure shows the co-authorship network connecting the top 25 collaborators of Vincenzo Dentamaro. A scholar is included among the top collaborators of Vincenzo Dentamaro 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 Vincenzo Dentamaro. Vincenzo Dentamaro 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.
Dentamaro, Vincenzo, et al.. (2025). EVolutionary independent DEtermiNistiC explanation. Engineering Applications of Artificial Intelligence. 156. 111008–111008.
2.
Cerdá‐Olmedo, German, et al.. (2025). Explanatory AI Predicts the Diet Adopted Based on Nutritional and Lifestyle Habits in the Spanish Population. European Journal of Investigation in Health Psychology and Education. 15(2). 11–11. 3 indexed citations
3.
Dentamaro, Vincenzo, et al.. (2024). Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making. International Journal of Medical Informatics. 188. 105501–105501. 15 indexed citations
4.
Dentamaro, Vincenzo, et al.. (2024). FOBICS: Assessing project security level through a metrics framework that evaluates DevSecOps performance. Information and Software Technology. 178. 107605–107605. 4 indexed citations
5.
Dentamaro, Vincenzo, et al.. (2024). Human activity recognition with smartphone-integrated sensors: A survey. Expert Systems with Applications. 246. 123143–123143. 29 indexed citations
6.
Dentamaro, Vincenzo, et al.. (2024). Automatic decision tree-based NIDPS ruleset generation for DoS/DDoS attacks. Journal of Information Security and Applications. 82. 103736–103736. 26 indexed citations
7.
Dentamaro, Vincenzo, et al.. (2024). PROGESI: A PROxy Grammar to Enhance Web Application Firewall for SQL Injection Prevention. IEEE Access. 12. 107689–107703. 3 indexed citations
8.
Dentamaro, Vincenzo, et al.. (2024). An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6995–7009. 3 indexed citations
9.
10.
Cheriet, Mohamed, et al.. (2023). Multi-speed transformer network for neurodegenerative disease assessment and activity recognition. Computer Methods and Programs in Biomedicine. 230. 107344–107344. 16 indexed citations
11.
Dentamaro, Vincenzo, et al.. (2023). YAMME: a YAra-byte-signatures Metamorphic Mutation Engine. IEEE Transactions on Information Forensics and Security. 18. 4530–4545. 13 indexed citations
12.
Dentamaro, Vincenzo, et al.. (2022). AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath. Pattern Recognition. 127. 108656–108656. 34 indexed citations
13.
Chimienti, Michela, et al.. (2022). A biometric-based system for unsupervised anomaly behaviour detection at the pawn shop. RePEc: Research Papers in Economics. 9(4). 338–356.
14.
Dentamaro, Vincenzo, et al.. (2022). Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study. Applied Sciences. 12(3). 1645–1645. 18 indexed citations
15.
Dentamaro, Vincenzo, et al.. (2022). Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection. Applied Sciences. 12(3). 1759–1759. 30 indexed citations
16.
Cicirelli, Grazia, Donato Impedovo, Vincenzo Dentamaro, et al.. (2021). Human Gait Analysis in Neurodegenerative Diseases: A Review. IEEE Journal of Biomedical and Health Informatics. 26(1). 229–242. 125 indexed citations
17.
Dentamaro, Vincenzo, Donato Impedovo, & Giuseppe Pirlo. (2020). Gait Analysis for Early Neurodegenerative Diseases Classification Through the Kinematic Theory of Rapid Human Movements. IEEE Access. 8. 193966–193980. 32 indexed citations
18.
Impedovo, Donato, Fabrizio Balducci, Vincenzo Dentamaro, & Giuseppe Pirlo. (2019). Vehicular Traffic Congestion Classification by Visual Features and Deep Learning Approaches: A Comparison. Sensors. 19(23). 5213–5213. 45 indexed citations
19.
Dentamaro, Vincenzo, Donato Impedovo, & Giuseppe Pirlo. (2018). LICIC: Less Important Components for Imbalanced Multiclass Classification. Information. 9(12). 317–317. 10 indexed citations
20.
Dentamaro, Vincenzo, Donato Impedovo, Giuseppe Pirlo, & Gennaro Vessio. (2018). A new ConvNet architecture for heartbeat classification. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2 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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