Oliver Giudice

839 total citations
33 papers, 389 citations indexed

About

Oliver Giudice is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Oliver Giudice has authored 33 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Oliver Giudice's work include Digital Media Forensic Detection (14 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Oliver Giudice is often cited by papers focused on Digital Media Forensic Detection (14 papers), Generative Adversarial Networks and Image Synthesis (8 papers) and Advanced Steganography and Watermarking Techniques (6 papers). Oliver Giudice collaborates with scholars based in Italy, United Kingdom and France. Oliver Giudice's co-authors include Sebastiano Battiato, Luca Guarnera, Giovanni Maria Farinella, A. Paratore, Giovanni Puglisi, Giovanni Gallo, Filippo Stanco, Alessandro Ortis, Dario Allegra and Francesco Pappalardo and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computers in Biology and Medicine.

In The Last Decade

Oliver Giudice

32 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Giudice Italy 9 272 109 30 21 21 33 389
Muhammad Zeeshan Khan Pakistan 12 194 0.7× 64 0.6× 52 1.7× 26 1.2× 8 0.4× 27 372
Nicola Falcionelli Italy 11 155 0.6× 162 1.5× 53 1.8× 10 0.5× 21 1.0× 24 372
Junliang Chen China 9 113 0.4× 111 1.0× 21 0.7× 20 1.0× 6 0.3× 30 273
Lu Leng China 8 263 1.0× 56 0.5× 92 3.1× 33 1.6× 5 0.2× 17 351
Bekhzod Olimov South Korea 11 106 0.4× 110 1.0× 13 0.4× 20 1.0× 16 0.8× 14 302
Reza Fuad Rachmadi Indonesia 9 123 0.5× 59 0.5× 31 1.0× 17 0.8× 15 0.7× 77 266
Chetan Dhule India 12 77 0.3× 62 0.6× 13 0.4× 28 1.3× 14 0.7× 60 348
Zhezhou Yu China 7 155 0.6× 94 0.9× 11 0.4× 21 1.0× 25 1.2× 22 279
Hamam Mokayed Sweden 10 111 0.4× 82 0.8× 13 0.4× 40 1.9× 12 0.6× 40 281

Countries citing papers authored by Oliver Giudice

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Giudice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Giudice

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Giudice. A scholar is included among the top collaborators of Oliver Giudice 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 Oliver Giudice. Oliver Giudice 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.
Guarnera, Luca, Oliver Giudice, & Sebastiano Battiato. (2024). Mastering Deepfake Detection: A Cutting-edge Approach to Distinguish GAN and Diffusion-model Images. ACM Transactions on Multimedia Computing Communications and Applications. 20(11). 1–24. 25 indexed citations
2.
Giudice, Oliver, Alessandro Ortis, Giulia Russo, et al.. (2023). Boosting multiple sclerosis lesion segmentation through attention mechanism. Computers in Biology and Medicine. 161. 107021–107021. 30 indexed citations
3.
Giudice, Oliver, et al.. (2023). An Innovative Tool for Uploading/Scraping Large Image Datasets on Social Networks. 549–554. 1 indexed citations
4.
Giudice, Oliver, et al.. (2023). Deep Audio Analyzer: A Framework to Industrialize the Research on Audio Forensics. 537–542. 1 indexed citations
5.
Guarnera, Luca, Oliver Giudice, Alessandro Ortis, et al.. (2022). The Face Deepfake Detection Challenge. Journal of Imaging. 8(10). 263–263. 34 indexed citations
6.
Guarnera, Luca, et al.. (2022). Assessing forensic ballistics three-dimensionally through graphical reconstruction and immersive VR observation. Multimedia Tools and Applications. 82(13). 20655–20681. 5 indexed citations
7.
Battiato, Sebastiano, et al.. (2022). CNN-based first quantization estimation of double compressed JPEG images. Journal of Visual Communication and Image Representation. 89. 103635–103635. 5 indexed citations
8.
Giudice, Oliver, et al.. (2022). Is synthetic voice detection research going into the right direction?. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 71–80. 9 indexed citations
9.
Allegra, Dario, et al.. (2022). Natural Gas Leakage Detection: a Deep Learning Framework on IR Video Data. 2022 26th International Conference on Pattern Recognition (ICPR). 636–642. 4 indexed citations
10.
Giudice, Oliver, et al.. (2021). A Robust Document Identification Framework through f-BP Fingerprint. Journal of Imaging. 7(8). 126–126. 2 indexed citations
11.
Giudice, Oliver, Luca Guarnera, & Sebastiano Battiato. (2021). Fighting Deepfakes by Detecting GAN DCT Anomalies. Journal of Imaging. 7(8). 128–128. 64 indexed citations
12.
Battiato, Sebastiano, et al.. (2021). Computational Data Analysis for First Quantization Estimation on JPEG Double Compressed Images. 48. 5951–5958. 1 indexed citations
13.
Battiato, Sebastiano, et al.. (2021). Estimating Previous Quantization Factors on Multiple JPEG Compressed Images. SHILAP Revista de lepidopterología. 2021(1). 6 indexed citations
14.
Giudice, Oliver, et al.. (2020). Institutional sector classifier, a machine learning approach. RePEc: Research Papers in Economics. 1 indexed citations
15.
Guarnera, Luca, Oliver Giudice, & Sebastiano Battiato. (2020). Fighting Deepfake by Exposing the Convolutional Traces on Images. IEEE Access. 8. 165085–165098. 80 indexed citations
16.
Giudice, Oliver, et al.. (2020). Institutional Sector Cassifier, a Machine Learning Approach. SSRN Electronic Journal. 4 indexed citations
17.
Battiato, Sebastiano, Oliver Giudice, & A. Paratore. (2016). Multimedia Forensics. 5–16. 22 indexed citations
18.
Cafiso, Salvatore, Alessandro Di Graziano, Oliver Giudice, & Giuseppina Pappalardo. (2014). Using GPS data to detect critical events in motorcycle rider behaviour. 5(4). 195–195. 8 indexed citations
19.
Battiato, Sebastiano, Giovanni Maria Farinella, Oliver Giudice, Salvatore Cafiso, & Alessandro Di Graziano. (2013). Vision based traffic conflict analysis. 5302. 1–6. 2 indexed citations
20.
Battiato, Sebastiano, Giovanni Maria Farinella, Oliver Giudice, & Giovanni Puglisi. (2012). Aligning Bags of Shape Contexts for Blurred Shape Model Based Symbol Classification. UNICA IRIS Institutional Research Information System (University of Cagliari). 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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