Marco Bertini

4.6k total citations
170 papers, 2.8k citations indexed

About

Marco Bertini is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Marco Bertini has authored 170 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Computer Vision and Pattern Recognition, 40 papers in Signal Processing and 24 papers in Artificial Intelligence. Recurrent topics in Marco Bertini's work include Video Analysis and Summarization (80 papers), Advanced Image and Video Retrieval Techniques (51 papers) and Image Retrieval and Classification Techniques (44 papers). Marco Bertini is often cited by papers focused on Video Analysis and Summarization (80 papers), Advanced Image and Video Retrieval Techniques (51 papers) and Image Retrieval and Classification Techniques (44 papers). Marco Bertini collaborates with scholars based in Italy, China and Netherlands. Marco Bertini's co-authors include Alberto Del Bimbo, Lorenzo Seidenari, Lamberto Ballan, Tiberio Uricchio, J. Assfalg, Giuseppe Serra, W. Nunziati, Leonardo Galteri, Carlo Colombo and Alberto Baldrati and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Marco Bertini

159 papers receiving 2.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco Bertini 2.3k 757 541 254 162 170 2.8k
Ja‐Ling Wu 3.2k 1.4× 514 0.7× 923 1.7× 199 0.8× 241 1.5× 279 3.9k
Wei-Ta Chu 1.3k 0.6× 383 0.5× 328 0.6× 188 0.7× 45 0.3× 141 1.7k
Winston H. Hsu 2.9k 1.3× 832 1.1× 461 0.9× 145 0.6× 79 0.5× 157 3.7k
Vasileios Mezaris 1.8k 0.8× 647 0.9× 415 0.8× 183 0.7× 71 0.4× 169 2.4k
Yan-Tao Zheng 2.8k 1.2× 892 1.2× 236 0.4× 112 0.4× 64 0.4× 49 3.3k
Abdul Rehman 1.1k 0.5× 209 0.3× 322 0.6× 121 0.5× 474 2.9× 99 2.1k
Ebroul Izquierdo 2.0k 0.9× 345 0.5× 713 1.3× 95 0.4× 252 1.6× 320 2.7k
Shih-Fu Chang 1.9k 0.8× 972 1.3× 226 0.4× 114 0.4× 59 0.4× 71 2.5k
Hanqing Lu 2.2k 0.9× 586 0.8× 411 0.8× 38 0.1× 44 0.3× 132 2.6k
Yannis Avrithis 1.9k 0.8× 551 0.7× 393 0.7× 128 0.5× 57 0.4× 109 2.4k

Countries citing papers authored by Marco Bertini

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bertini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Bertini

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Bertini. A scholar is included among the top collaborators of Marco Bertini 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 Marco Bertini. Marco Bertini 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.
Bertini, Marco, et al.. (2025). High-speed image enhancement: Real-time super-resolution and artifact removal for degraded analog footage. Journal of Industrial Information Integration. 45. 100798–100798.
2.
Baldrati, Alberto, et al.. (2025). iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 10801–10817.
3.
Capineri, Lorenzo, et al.. (2025). HoloMine: A Synthetic Dataset for Buried Landmines Recognition Using Microwave Holographic Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 9883–9892.
4.
Bertini, Marco, et al.. (2024). Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging. Remote Sensing. 16(4). 677–677. 7 indexed citations
5.
Furferi, Rocco, et al.. (2024). Enhancing traditional museum fruition: current state and emerging tendencies. Heritage Science. 12(1). 11 indexed citations
6.
Bertini, Marco, et al.. (2024). Context-aware chatbot using MLLMs for Cultural Heritage. Florence Research (University of Florence). 459–463. 8 indexed citations
7.
Berretti, Stefano, et al.. (2023). 4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks. Florence Research (University of Florence). 57–65. 1 indexed citations
8.
Baldrati, Alberto, et al.. (2023). Zero-Shot Image Retrieval with Human Feedback. CINECA IRIS Institutial research information system (University of Pisa). 9417–9419. 1 indexed citations
9.
Baldrati, Alberto, Marco Bertini, Tiberio Uricchio, & Alberto Del Bimbo. (2023). Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features. ACM Transactions on Multimedia Computing Communications and Applications. 20(3). 1–24. 13 indexed citations
10.
Baldrati, Alberto, et al.. (2023). LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On. IRIS UNIMORE (University of Modena and Reggio Emilia). 8580–8589. 32 indexed citations
11.
Galteri, Leonardo, et al.. (2022). LANBIQUE: LANguage-based Blind Image QUality Evaluation. ACM Transactions on Multimedia Computing Communications and Applications. 18(2s). 1–19. 2 indexed citations
12.
Bertini, Marco, et al.. (2020). Image retrieval using multi-scale CNN features pooling. Florence Research (University of Florence). 13 indexed citations
13.
Ferrari, Claudio, et al.. (2020). Inner eye Canthus localization for human body temperature screening. Florence Research (University of Florence). 9 indexed citations
14.
Galteri, Leonardo, et al.. (2020). Robust pedestrian detection in thermal imagery using synthesized images. Florence Research (University of Florence). 17 indexed citations
15.
Galteri, Leonardo, Lorenzo Seidenari, Marco Bertini, & Alberto Del Bimbo. (2017). Deep Generative Adversarial Compression Artifact Removal. Florence Research (University of Florence). 130 indexed citations
16.
Seidenari, Lorenzo, et al.. (2017). Deep Artwork Detection and Retrieval for Automatic Context-Aware Audio Guides. ACM Transactions on Multimedia Computing Communications and Applications. 13(3s). 1–21. 29 indexed citations
17.
Galteri, Leonardo, Lorenzo Seidenari, Marco Bertini, & Alberto Del Bimbo. (2017). Spatio-Temporal Closed-Loop Object Detection. IEEE Transactions on Image Processing. 26(3). 1253–1263. 24 indexed citations
18.
Ballan, Lamberto, Marco Bertini, Giuseppe Serra, & Alberto Del Bimbo. (2015). A data-driven approach for tag refinement and localization in web videos. Computer Vision and Image Understanding. 140. 58–67. 7 indexed citations
19.
Freestone, Ian C., et al.. (2014). Technical study of a rare Venetian turquoise glass goblet from the Waddesdon Bequest. UCL Discovery (University College London). 3 indexed citations
20.
Bertini, Marco & Alberto Del Bimbo. (2004). Semantic Annotation and Transcoding for Sport Videos. AirIuav (Università Iuav di Venezia). 3 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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