Attilio Fiandrotti

539 total citations
52 papers, 338 citations indexed

About

Attilio Fiandrotti is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Attilio Fiandrotti has authored 52 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Networks and Communications and 11 papers in Signal Processing. Recurrent topics in Attilio Fiandrotti's work include Advanced Neural Network Applications (11 papers), Cooperative Communication and Network Coding (11 papers) and Video Coding and Compression Technologies (9 papers). Attilio Fiandrotti is often cited by papers focused on Advanced Neural Network Applications (11 papers), Cooperative Communication and Network Coding (11 papers) and Video Coding and Compression Technologies (9 papers). Attilio Fiandrotti collaborates with scholars based in Italy, France and Malaysia. Attilio Fiandrotti's co-authors include Enrico Magli, Marco Grangetto, Enrico Masala, Enzo Tartaglione, Jacob Chakareski, Pascal Frossard, Rossano Gaeta, Chiara Ravazzi, Sophie M. Fosson and Marco Cagnazzo and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Attilio Fiandrotti

45 papers receiving 329 citations

Peers

Attilio Fiandrotti

CVPR

CNC

EEE

Pei‐Jun Lee Taiwan

Francisco Morán Spain

Kimmo Roimela Finland

Daniel Berjón Spain

Jiajun Lu China

Raghuraman Krishnamoorthi United States

Ahmad Alzu’bi Jordan

Shivsubramani Krishnamoorthy India

Minwoo Park United States

Sotirios P. Sotiroudis Greece

Pei‐Jun Lee Taiwan

Attilio Fiandrotti

268 ×1.3

CVPR

39 ×0.4

49 ×0.6

CNC

156 ×2.3

59 ×1.0

EEE

Citations per year, relative to Attilio Fiandrotti Attilio Fiandrotti (= 1×) peers Pei‐Jun Lee

Countries citing papers authored by Attilio Fiandrotti

Since Specialization

Citations

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

Fields of papers citing papers by Attilio Fiandrotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Attilio Fiandrotti

This figure shows the co-authorship network connecting the top 25 collaborators of Attilio Fiandrotti. A scholar is included among the top collaborators of Attilio Fiandrotti 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 Attilio Fiandrotti. Attilio Fiandrotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Likforman-Sulem, Laurence, et al.. (2025). Character recognition in Byzantine seals with deep neural networks. Digital Applications in Archaeology and Cultural Heritage. 37. e00403–e00403.

Fiandrotti, Attilio, et al.. (2024). Find the Lady: Permutation and Re-synchronization of Deep Neural Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21001–21009.

Bougourzi, Fares, Cosimo Distante, Fadi Dornaika, et al.. (2024). COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors. 24(5). 1557–1557. 1 indexed citations

Saglietto, Andrea, Roberto Esposito, Matteo Anselmino, et al.. (2024). Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups. Frontiers in Cardiovascular Medicine. 11. 1327179–1327179. 3 indexed citations

Farid, Muhammad Shahid, et al.. (2024). A lightweight deep learning architecture for malaria parasite-type classification and life cycle stage detection. Neural Computing and Applications. 36(31). 19795–19805. 8 indexed citations

Bae, Sung‐Ho, et al.. (2024). ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. SPIRE - Sciences Po Institutional REpository. 1–5.

Tartaglione, Enzo, et al.. (2024). Gabic: Graph-Based Attention Block for Image Compression. arXiv (Cornell University). 1802–1808. 2 indexed citations

Tartaglione, Enzo, et al.. (2023). A Hitchhiker’s Guide to White-Box Neural Network Watermarking Robustness. 1–6. 1 indexed citations

Giraldo, Jhony H., et al.. (2023). Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets. 1510–1514. 2 indexed citations

10.

Basso, Andrea, Paolo Ribeca, Marina Bosi, et al.. (2022). AI-Based Media Coding Standards. SMPTE Motion Imaging Journal. 131(4). 10–20. 5 indexed citations

11.

Paschos, Georgios S., et al.. (2022). Online Learning for Adaptive Video Streaming in Mobile Networks. ACM Transactions on Multimedia Computing Communications and Applications. 18(1). 1–22. 5 indexed citations

12.

Tartaglione, Enzo, Stéphane Lathuilière, Attilio Fiandrotti, Marco Cagnazzo, & Marco Grangetto. (2021). HEMP: High-order entropy minimization for neural network compression. Neurocomputing. 461. 244–253. 4 indexed citations

13.

Tartaglione, Enzo, et al.. (2021). LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks. Neural Networks. 146. 230–237. 19 indexed citations

14.

Zhang, Lu, et al.. (2021). Hybrid dual stream blender for wide baseline view synthesis. Signal Processing Image Communication. 97. 116366–116366. 1 indexed citations

15.

Fiandrotti, Attilio, et al.. (2019). Very Low Bitrate Semantic Compression of Airplane Cockpit Screen Content. IEEE Transactions on Multimedia. 21(9). 2157–2170. 4 indexed citations

16.

Fiandrotti, Attilio, et al.. (2018). Vehicle joint make and model recognition with multiscale attention windows. Signal Processing Image Communication. 72. 69–79. 16 indexed citations

17.

Fiandrotti, Attilio, Rossano Gaeta, & Marco Grangetto. (2018). Securing Network Coding Architectures Against Pollution Attacks With Band Codes. IEEE Transactions on Information Forensics and Security. 14(3). 730–742. 8 indexed citations

18.

Fiandrotti, Attilio, et al.. (2017). CDVSec: Privacy-preserving biometrical user authentication in the cloud with CDVS descriptors. Pattern Recognition Letters. 113. 67–74. 5 indexed citations

19.

Fiandrotti, Attilio, et al.. (2014). Demonstrating the new compact descriptors for visual search (CDVS) standard for image retrieval on mobile devices. 3411–3413. 2 indexed citations

20.

Fiandrotti, Attilio, et al.. (2013). Distributed scheduling for scalable P2P video streaming with network coding. 17. 11–12. 7 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.

Explore authors with similar magnitude of impact