Gennaro Vessio

1.5k total citations
51 papers, 780 citations indexed

About

Gennaro Vessio is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Gennaro Vessio has authored 51 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 7 papers in Cognitive Neuroscience. Recurrent topics in Gennaro Vessio's work include Handwritten Text Recognition Techniques (10 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Gennaro Vessio is often cited by papers focused on Handwritten Text Recognition Techniques (10 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Anomaly Detection Techniques and Applications (6 papers). Gennaro Vessio collaborates with scholars based in Italy, Spain and Poland. Gennaro Vessio's co-authors include Giovanna Castellano, Donato Impedovo, Giuseppe Pirlo, Moises Díaz, Imran Siddiqi, Momina Moetesum, Corrado Mencar, Miguel A. Ferrer, Ciro Castiello and Eufemia Lella and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Gennaro Vessio

47 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gennaro Vessio Italy 17 256 227 152 116 95 51 780
Gustavo Henrique de Rosa Brazil 12 200 0.8× 253 1.1× 223 1.5× 211 1.8× 51 0.5× 37 816
Peter Drotár Slovakia 18 260 1.0× 391 1.7× 454 3.0× 468 4.0× 131 1.4× 60 1.4k
Francesco Fontanella Italy 17 328 1.3× 323 1.4× 49 0.3× 38 0.3× 48 0.5× 57 764
Claudio De Stefano Italy 18 477 1.9× 610 2.7× 53 0.3× 39 0.3× 57 0.6× 90 1.2k
Mounîm A. El‐Yacoubi France 20 544 2.1× 336 1.5× 49 0.3× 28 0.2× 49 0.5× 88 1.3k
V́ıctor González-Castro Spain 20 245 1.0× 311 1.4× 44 0.3× 27 0.2× 43 0.5× 59 1.2k
Baha Şen Türkiye 14 155 0.6× 220 1.0× 38 0.3× 80 0.7× 366 3.9× 62 1.0k
K. R. Seeja India 12 144 0.6× 271 1.2× 96 0.6× 80 0.7× 195 2.1× 35 787
Alessandra Scotto di Freca Italy 12 260 1.0× 220 1.0× 40 0.3× 32 0.3× 41 0.4× 35 539
Michael A. Lones United Kingdom 17 53 0.2× 353 1.6× 154 1.0× 69 0.6× 66 0.7× 63 893

Countries citing papers authored by Gennaro Vessio

Since Specialization
Citations

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

Fields of papers citing papers by Gennaro Vessio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gennaro Vessio

This figure shows the co-authorship network connecting the top 25 collaborators of Gennaro Vessio. A scholar is included among the top collaborators of Gennaro Vessio 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 Gennaro Vessio. Gennaro Vessio 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.
Vessio, Gennaro, et al.. (2025). From segmentation to explanation: Generating textual reports from MRI with LLMs. Computer Methods and Programs in Biomedicine. 270. 108922–108922.
2.
Díaz, Moises, et al.. (2025). Integrating robotic kinematics and dynamics with online handwriting features for dysgraphia classification. Biomedical Signal Processing and Control. 112. 108560–108560.
3.
Vessio, Gennaro, et al.. (2024). Pathways to success: a machine learning approach to predicting investor dynamics in equity and lending crowdfunding campaigns. Journal of Intelligent Information Systems. 63(1). 135–159. 2 indexed citations
4.
Castellano, Giovanna, et al.. (2024). Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET. Scientific Reports. 14(1). 5210–5210. 27 indexed citations
5.
Díaz, Moises, Miguel A. Ferrer, José J. Quintana, et al.. (2024). Neural network modelling of kinematic and dynamic features for signature verification. Pattern Recognition Letters. 187. 130–136. 4 indexed citations
6.
Fiameni, Giuseppe, et al.. (2024). GraphCLIP: Image-graph contrastive learning for multimodal artwork classification. Knowledge-Based Systems. 310. 112857–112857. 2 indexed citations
7.
Basile, Andrea, et al.. (2024). From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1–7. 2 indexed citations
8.
Pio, Gianvito, et al.. (2023). Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy. Medical & Biological Engineering & Computing. 61(8). 2051–2066. 2 indexed citations
9.
Mencar, Corrado, et al.. (2023). Density-based clustering with fully-convolutional networks for crowd flow detection from drones. Neurocomputing. 526. 169–179. 16 indexed citations
10.
Castellano, Giovanna, et al.. (2023). Applying Knowledge Distillation to Improve Weed Mapping With Drones. SHILAP Revista de lepidopterología. 35. 393–400. 1 indexed citations
11.
Frontoni, Emanuele, et al.. (2022). MLOps: A Taxonomy and a Methodology. IEEE Access. 10. 63606–63618. 50 indexed citations
12.
Andresini, Giuseppina, et al.. (2022). ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Systems with Applications. 201. 117144–117144. 39 indexed citations
13.
Castellano, Giovanna, et al.. (2022). Leveraging Knowledge Graphs and Deep Learning for automatic art analysis. Knowledge-Based Systems. 248. 108859–108859. 20 indexed citations
14.
Casalino, Gabriella, Giovanna Castellano, Arianna Consiglio, Nicoletta Nuzziello, & Gennaro Vessio. (2021). MicroRNA expression classification for pediatric multiple sclerosis identification. Journal of Ambient Intelligence and Humanized Computing. 14(12). 15851–15860. 16 indexed citations
15.
Castellano, Giovanna, Ciro Castiello, Corrado Mencar, & Gennaro Vessio. (2020). Crowd Detection in Aerial Images Using Spatial Graphs and Fully-Convolutional Neural Networks. IEEE Access. 8. 64534–64544. 35 indexed citations
16.
Díaz, Moises, Miguel A. Ferrer, Donato Impedovo, Giuseppe Pirlo, & Gennaro Vessio. (2019). Dynamically enhanced static handwriting representation for Parkinson’s disease detection. Pattern Recognition Letters. 128. 204–210. 71 indexed citations
17.
Impedovo, Donato, et al.. (2019). An Evolutionary Approach to address Interoperability Issues in Multi-Device Signature Verification. 3. 3048–3053. 4 indexed citations
18.
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
19.
Bianchi, Alessandro, Sebastiano Pizzutilo, & Gennaro Vessio. (2016). CoreASM-based Evaluation of the N-AODV Protocol for Mobile Ad-hoc Networks. Journal of Multimedia. 12. 31–51. 1 indexed citations
20.
Bianchi, Alessandro, Sebastiano Pizzutilo, & Gennaro Vessio. (2016). Reasoning on Starvation in AODV using Abstract State Machines. Journal of Theoretical and Applied Information Technology. 84(1). 140–149.

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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