Giuseppe Pirlo

4.9k total citations · 1 hit paper
177 papers, 3.0k citations indexed

About

Giuseppe Pirlo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Giuseppe Pirlo has authored 177 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 23 papers in Media Technology. Recurrent topics in Giuseppe Pirlo's work include Handwritten Text Recognition Techniques (74 papers), Image Retrieval and Classification Techniques (25 papers) and Image Processing and 3D Reconstruction (25 papers). Giuseppe Pirlo is often cited by papers focused on Handwritten Text Recognition Techniques (74 papers), Image Retrieval and Classification Techniques (25 papers) and Image Processing and 3D Reconstruction (25 papers). Giuseppe Pirlo collaborates with scholars based in Italy, Spain and Canada. Giuseppe Pirlo's co-authors include Donato Impedovo, S. Impedovo, Giovanni Dimauro, Vincenzo Dentamaro, Fabrizio Balducci, Moises Díaz, Gennaro Vessio, Réjean Plamondon, Miguel A. Ferrer and A. Salzo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Giuseppe Pirlo

159 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Automatic Signature Verification: The State of the Art

2008 454 citations Donato Impedovo, Giuseppe Pirlo profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppe Pirlo Italy	29	1.8k	869	498	464	314	177	3.0k
Donato Impedovo Italy	25	1.3k 0.7×	587 0.7×	374 0.8×	305 0.7×	269 0.9×	128	2.4k
Hugo Jair Escalante Mexico	29	1.3k 0.7×	1.2k 1.4×	104 0.2×	291 0.6×	465 1.5×	158	2.9k
Luis Enrique Sucar Mexico	27	1.1k 0.6×	1.0k 1.2×	117 0.2×	181 0.4×	168 0.5×	213	2.9k
Rubén San-Segundo Spain	23	540 0.3×	650 0.7×	142 0.3×	62 0.1×	281 0.9×	134	1.9k
Zehong Cao Australia	36	412 0.2×	1.0k 1.2×	65 0.1×	319 0.7×	323 1.0×	118	3.4k
Ahmad Jalal Pakistan	36	2.6k 1.5×	888 1.0×	147 0.3×	66 0.1×	103 0.3×	115	3.6k
Feng Lin China	26	498 0.3×	408 0.5×	57 0.1×	328 0.7×	528 1.7×	197	2.6k
Bogdan Ionescu Romania	21	1.1k 0.6×	403 0.5×	38 0.1×	149 0.3×	222 0.7×	180	1.7k
Adil Khan Russia	25	1.5k 0.8×	522 0.6×	700 1.4×	103 0.2×	163 0.5×	100	2.6k
M. Shamim Hossain Saudi Arabia	35	836 0.5×	815 0.9×	101 0.2×	837 1.8×	248 0.8×	100	3.4k

Countries citing papers authored by Giuseppe Pirlo

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Pirlo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Pirlo

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Pirlo. A scholar is included among the top collaborators of Giuseppe Pirlo 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 Giuseppe Pirlo. Giuseppe Pirlo 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

Dentamaro, Vincenzo, et al.. (2025). EVolutionary independent DEtermiNistiC explanation. Engineering Applications of Artificial Intelligence. 156. 111008–111008.

Aversano, Lerina, et al.. (2025). What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction. IEEE Open Journal of the Computer Society. 6. 261–271.

Aversano, Lerina, et al.. (2025). Process mining applications in healthcare: a systematic literature review. PeerJ Computer Science. 11. e2613–e2613. 1 indexed citations

Pirlo, Giuseppe, et al.. (2025). CNN-AutoMIC: Combining convolutional neural network and autoencoder to learn non-linear features for KNN-based malware image classification. Computers & Security. 156. 104507–104507.

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

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

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

Impedovo, Donato, et al.. (2023). Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors. Electronics. 12(2). 261–261. 7 indexed citations

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

10.

Díaz, Moises, et al.. (2023). Interconnected Systems Modelling in Food Industry: General Solution Scheme and Stability Conditions for Linear Time-Invariant Systems. Applied Sciences. 13(9). 5740–5740.

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.

Chimienti, Michela, et al.. (2022). MIRROR: Methodological Innovation to Remodel the Electric Loads to Reduce Economic OR Environmental Impact of User. Algorithms. 16(1). 1–1. 1 indexed citations

17.

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

18.

Dentamaro, Vincenzo, Donato Impedovo, & Giuseppe Pirlo. (2018). LICIC: Less Important Components for Imbalanced Multiclass Classification. Information. 9(12). 317–317. 10 indexed citations

19.

Plamondon, Réjean, et al.. (2018). Personal digital bodyguards for e-security, e-learning and e-health: A prospective survey. Pattern Recognition. 81. 633–659. 30 indexed citations

20.

Dimauro, Giovanni, et al.. (2004). A NEW HYBRID APPROACH FOR LEGAL AMOUNT RECOGNITION. 199–208. 8 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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