Maurizio Lucenteforte

430 total citations
42 papers, 283 citations indexed

About

Maurizio Lucenteforte is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Geography, Planning and Development. According to data from OpenAlex, Maurizio Lucenteforte has authored 42 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 19 papers in Signal Processing and 8 papers in Geography, Planning and Development. Recurrent topics in Maurizio Lucenteforte's work include Video Coding and Compression Technologies (14 papers), Advanced Vision and Imaging (11 papers) and Advanced Data Compression Techniques (8 papers). Maurizio Lucenteforte is often cited by papers focused on Video Coding and Compression Technologies (14 papers), Advanced Vision and Imaging (11 papers) and Advanced Data Compression Techniques (8 papers). Maurizio Lucenteforte collaborates with scholars based in Italy, Pakistan and Uzbekistan. Maurizio Lucenteforte's co-authors include Marco Grangetto, Muhammad Shahid Farid, Liliana Ardissono, Noemi Mauro, Antonio Chimienti, Angioletta Voghera, Davide Cavagnino, Danilo Pau, Roberto Sannino and Erina Ferro and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Fusion and Signal Processing.

In The Last Decade

Maurizio Lucenteforte

38 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maurizio Lucenteforte Italy 11 221 99 37 30 29 42 283
Vamsidhar Reddy Gaddam Norway 9 260 1.2× 111 1.1× 33 0.9× 4 0.1× 14 0.5× 17 325
Sina Samangooei United Kingdom 10 235 1.1× 77 0.8× 58 1.6× 6 0.2× 11 0.4× 22 308
Amirhossein Habibian Netherlands 12 464 2.1× 90 0.9× 140 3.8× 3 0.1× 13 0.4× 19 504
Peter Schallauer Austria 7 195 0.9× 47 0.5× 27 0.7× 1 0.0× 61 2.1× 28 250
Ning Jiang China 9 210 1.0× 20 0.2× 96 2.6× 5 0.2× 30 1.0× 40 271
Sungjoo Suh South Korea 9 287 1.3× 119 1.2× 24 0.6× 31 1.1× 24 353
Haneol Jang South Korea 8 260 1.2× 57 0.6× 32 0.9× 29 1.0× 21 285
Shigeyuki Sakazawa Japan 9 212 1.0× 76 0.8× 16 0.4× 27 0.9× 59 238
Dehua Song China 6 175 0.8× 63 0.6× 33 0.9× 71 2.4× 9 228
Seung-Min Mun South Korea 9 266 1.2× 49 0.5× 28 0.8× 38 1.3× 10 288

Countries citing papers authored by Maurizio Lucenteforte

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Lucenteforte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Lucenteforte

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Lucenteforte. A scholar is included among the top collaborators of Maurizio Lucenteforte 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 Maurizio Lucenteforte. Maurizio Lucenteforte 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.
2.
Cavagnino, Davide, et al.. (2024). High capacity reversible data hiding in radiographic images with optimal bit allocation. Multimedia Tools and Applications. 83(32). 78227–78245. 1 indexed citations
3.
Mauro, Noemi, Liliana Ardissono, & Maurizio Lucenteforte. (2020). Faceted search of heterogeneous geographic information for dynamic map projection. Information Processing & Management. 57(4). 102257–102257. 16 indexed citations
4.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2019). No-reference quality metric for HEVC compression distortion estimation in depth maps. Signal Image and Video Processing. 14(1). 195–203.
5.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2017). Perceptual quality assessment of 3D synthesized images. Institutional Research Information System University of Turin (University of Turin). 505–510. 20 indexed citations
6.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2017). DOST: a distributed object segmentation tool. Multimedia Tools and Applications. 77(16). 20839–20862. 15 indexed citations
7.
Voghera, Angioletta, et al.. (2016). Production of spatial representations through collaborative mapping. An experiment. Institutional Research Information System University of Turin (University of Turin). 7 indexed citations
8.
Cavagnino, Davide, Maurizio Lucenteforte, & Marco Grangetto. (2015). High capacity reversible data hiding and content protection for radiographic images. Signal Processing. 117. 258–269. 11 indexed citations
9.
Ardissono, Liliana, et al.. (2014). GroupCollaborate2: Interactive Community Mapping. Institutional Research Information System University of Turin (University of Turin). 1181. 45–48. 1 indexed citations
10.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2014). Panorama View With Spatiotemporal Occlusion Compensation for 3D Video Coding. IEEE Transactions on Image Processing. 24(1). 205–219. 13 indexed citations
11.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2014). Edge enhancement of depth based rendered images. 47. 5452–5456. 10 indexed citations
12.
Farid, Muhammad Shahid, Maurizio Lucenteforte, & Marco Grangetto. (2013). Depth image based rendering with inverse mapping. Institutional Research Information System University of Turin (University of Turin). 135–140. 24 indexed citations
13.
Cavagnino, Davide, et al.. (2013). A high capacity reversible data hiding scheme for radiographic images. Institutional Research Information System University of Turin (University of Turin). 4. 1–14. 1 indexed citations
14.
Grangetto, Marco, et al.. (2013). Gait characterization using dynamic skeleton acquisition. Institutional Research Information System University of Turin (University of Turin). 440–445. 26 indexed citations
15.
Lucenteforte, Maurizio, et al.. (2012). A novel interpolation method for 3D view synthesis. 7443. 1–4. 6 indexed citations
16.
Lucenteforte, Maurizio, et al.. (2009). Acyclic belief propagation for stereo matching. Pattern Recognition and Image Analysis. 19(3). 508–527. 1 indexed citations
17.
18.
Chimienti, Antonio, Maurizio Lucenteforte, Danilo Pau, & Roberto Sannino. (2002). A novel co-decoding scheme to reduce memory in MPEG-2 MP@ML decoder. 272–277. 3 indexed citations
19.
Celandroni, Nedo, et al.. (2000). MPEG-2 Coded Video Traces Transmitted Over a Satellite Link: Scalable and Non-Scalable Solutions in Rain Fading Conditions. Multimedia Tools and Applications. 10(1). 73–97. 5 indexed citations
20.
Chimienti, Antonio, et al.. (1998). A novel adaptive vector quantization method for memory reduction in MPEG-2 HDTV decoders. IEEE Transactions on Consumer Electronics. 44(3). 537–544. 12 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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