Luca Bondi

1.5k total citations
35 papers, 917 citations indexed

About

Luca Bondi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Luca Bondi has authored 35 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 11 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Luca Bondi's work include Digital Media Forensic Detection (16 papers), Advanced Steganography and Watermarking Techniques (12 papers) and Speech and Audio Processing (8 papers). Luca Bondi is often cited by papers focused on Digital Media Forensic Detection (16 papers), Advanced Steganography and Watermarking Techniques (12 papers) and Speech and Audio Processing (8 papers). Luca Bondi collaborates with scholars based in Italy, United States and Brazil. Luca Bondi's co-authors include Stefano Tubaro, Paolo Bestagini, Luca Baroffio, David Güera, Edward J. Delp, Marco Tagliasacchi, Denis Tomè, Federico Monti, Silvia Lameri and Nicolò Bonettini and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Luca Bondi

31 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Bondi Italy 13 774 164 151 115 63 35 917
Luca Baroffio Italy 13 608 0.8× 92 0.6× 71 0.5× 55 0.5× 64 1.0× 25 738
Hafiz Adnan Habib Pakistan 13 312 0.4× 128 0.8× 111 0.7× 10 0.1× 22 0.3× 30 560
Yongfeng Dong China 11 226 0.3× 82 0.5× 145 1.0× 13 0.1× 17 0.3× 50 494
Abhishek Kumar Kashyap India 13 289 0.4× 54 0.3× 70 0.5× 10 0.1× 21 0.3× 53 521
Younes Akbari Qatar 13 291 0.4× 74 0.5× 110 0.7× 19 0.2× 3 0.0× 44 449
Hayat Ullah United States 11 285 0.4× 61 0.4× 178 1.2× 7 0.1× 10 0.2× 23 667
Aichun Zhu China 14 535 0.7× 16 0.1× 173 1.1× 4 0.0× 43 0.7× 61 727
Zahid Mahmood Pakistan 20 598 0.8× 241 1.5× 107 0.7× 1 0.0× 99 1.6× 62 829
Tobias Senst Germany 11 440 0.6× 26 0.2× 220 1.5× 4 0.0× 8 0.1× 25 550

Countries citing papers authored by Luca Bondi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Bondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Bondi

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Bondi. A scholar is included among the top collaborators of Luca Bondi 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 Luca Bondi. Luca Bondi 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.
Salvi, Davide, et al.. (2025). Freeze and Learn: Continual Learning with Selective Freezing for Speech Deepfake Detection. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–5. 1 indexed citations
2.
Lin, Wei-Cheng, et al.. (2024). CLAP4Emo: ChatGPT-Assisted Speech Emotion Retrieval with Natural Language Supervision. 33. 11791–11795. 1 indexed citations
3.
Bondi, Luca, et al.. (2024). Can Synthetic Data Boost the Training of Deep Acoustic Vehicle Counting Networks?. Lirias (KU Leuven). 631–635. 3 indexed citations
4.
Lin, Wei-Cheng, Luca Bondi, & Shabnam Ghaffarzadegan. (2023). Background Domain Switch: A Novel Data Augmentation Technique for Robust Sound Event Detection. 326–330.
5.
Chen, Bingqing, Luca Bondi, & Samarjit Das. (2022). Learning to Adapt to Domain Shifts with Few-shot Samples in Anomalous Sound Detection. 2022 26th International Conference on Pattern Recognition (ICPR). 133–139. 3 indexed citations
6.
Bondi, Luca, et al.. (2020). Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 55 indexed citations
7.
Júnior, Pedro Ribeiro Mendes, Luca Bondi, Paolo Bestagini, Stefano Tubaro, & Anderson Rocha. (2019). An In-Depth Study on Open-Set Camera Model Identification. IEEE Access. 7. 180713–180726. 17 indexed citations
8.
Giunta, Giuseppe, G. Bernasconi, & Luca Bondi. (2019). Pipeline digital monitoring based on vibroacoustic measurements. 1–10. 1 indexed citations
9.
Júnior, Pedro Ribeiro Mendes, Luca Bondi, Paolo Bestagini, Anderson Rocha, & Stefano Tubaro. (2019). A Prnu-Based Method to Expose Video Device Compositions in Open-Set Setups. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 6819. 96–100. 2 indexed citations
10.
Bonettini, Nicolò, Luca Bondi, Paolo Bestagini, & Stefano Tubaro. (2018). JPEG Implementation Forensics Based on Eigen-Algorithms. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7. 5 indexed citations
11.
Bondi, Luca, Paolo Bestagini, Fernando Pérez‐González, & Stefano Tubaro. (2018). Improving PRNU Compression Through Preprocessing, Quantization, and Coding. IEEE Transactions on Information Forensics and Security. 14(3). 608–620. 18 indexed citations
12.
Barni, Mauro, Luca Bondi, Nicolò Bonettini, et al.. (2017). Aligned and non-aligned double JPEG detection using convolutional neural networks. Journal of Visual Communication and Image Representation. 49. 153–163. 139 indexed citations
13.
Lameri, Silvia, et al.. (2017). Near-duplicate video detection exploiting noise residual traces. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3. 1497–1501. 5 indexed citations
14.
Bondi, Luca, David Güera, Luca Baroffio, et al.. (2017). A Preliminary Study on Convolutional Neural Networks for Camera Model Identification. Electronic Imaging. 29(7). 67–76. 26 indexed citations
15.
Bondi, Luca, Silvia Lameri, David Güera, et al.. (2017). Tampering Detection and Localization Through Clustering of Camera-Based CNN Features. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1855–1864. 138 indexed citations
16.
Bondi, Luca, Luca Baroffio, David Güera, et al.. (2016). First Steps Toward Camera Model Identification With Convolutional Neural Networks. IEEE Signal Processing Letters. 24(3). 259–263. 162 indexed citations
17.
Amerini, Irene, et al.. (2016). Robust smartphone fingerprint by mixing device sensors features for mobile strong authentication. Electronic Imaging. 28(8). 1–8. 13 indexed citations
18.
Tomè, Denis, Federico Monti, Luca Baroffio, et al.. (2016). Deep Convolutional Neural Networks for pedestrian detection. Signal Processing Image Communication. 47. 482–489. 148 indexed citations
19.
Bondi, Luca, Luca Baroffio, Matteo Cesana, et al.. (2016). Rate-energy-accuracy optimization of convolutional architectures for face recognition. Journal of Visual Communication and Image Representation. 36. 142–148. 3 indexed citations
20.
Baroffio, Luca, Luca Bondi, Matteo Cesana, Alessandro E. C. Redondi, & Marco Tagliasacchi. (2015). A visual sensor network for parking lot occupancy detection in Smart Cities. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 64 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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