Antonio Chimienti

588 total citations
37 papers, 405 citations indexed

About

Antonio Chimienti is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Antonio Chimienti has authored 37 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 21 papers in Signal Processing and 6 papers in Biomedical Engineering. Recurrent topics in Antonio Chimienti's work include Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (20 papers) and Advanced Vision and Imaging (7 papers). Antonio Chimienti is often cited by papers focused on Advanced Data Compression Techniques (22 papers), Video Coding and Compression Technologies (20 papers) and Advanced Vision and Imaging (7 papers). Antonio Chimienti collaborates with scholars based in Italy, United States and Switzerland. Antonio Chimienti's co-authors include Claudia Ferraris, Fabio Bellifemine, Pierpaolo Baccichet, Danilo Pau, Giuseppe Pettiti, Verônica Cimolin, Nicola Cau, Alessandro Mauro, Corrado Azzaro and Lorenzo Priano and has published in prestigious journals such as IEEE Transactions on Image Processing, Sensors and CIRP Annals.

In The Last Decade

Antonio Chimienti

36 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Chimienti Italy 12 238 157 57 55 48 37 405
P. Tresadern United Kingdom 9 226 0.9× 146 0.9× 84 1.5× 18 0.3× 50 1.0× 15 429
T Togawa Japan 8 136 0.6× 23 0.1× 186 3.3× 20 0.4× 15 0.3× 15 347
Ramona Rednic United Kingdom 6 85 0.4× 22 0.1× 111 1.9× 74 1.3× 7 0.1× 14 316
Nicole A. Capela Canada 5 180 0.8× 17 0.1× 129 2.3× 7 0.1× 50 1.0× 5 331
Florenc Demrozi Italy 9 256 1.1× 28 0.2× 160 2.8× 34 0.6× 5 0.1× 33 461
Ahmed Al-Jawad United Kingdom 10 59 0.2× 16 0.1× 73 1.3× 131 2.4× 12 0.3× 18 365
Tim Good United Kingdom 9 108 0.5× 21 0.1× 85 1.5× 13 0.2× 46 1.0× 23 363
Paolo Tormene Italy 7 51 0.2× 91 0.6× 133 2.3× 4 0.1× 51 1.1× 8 353
Neha Gaud India 6 143 0.6× 26 0.2× 181 3.2× 6 0.1× 19 0.4× 8 350
Jonathan Feng-Shun Lin Canada 9 161 0.7× 54 0.3× 135 2.4× 3 0.1× 43 0.9× 23 391

Countries citing papers authored by Antonio Chimienti

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Chimienti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Chimienti

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Chimienti. A scholar is included among the top collaborators of Antonio Chimienti 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 Antonio Chimienti. Antonio Chimienti 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.
Ferraris, Claudia, et al.. (2023). At-home assessment of postural stability in parkinson’s disease: a vision-based approach. Journal of Ambient Intelligence and Humanized Computing. 15(5). 2765–2778. 3 indexed citations
2.
Ferraris, Claudia, et al.. (2015). A novel approach to train random forests on GPU for computer vision applications using local features. The International Journal of High Performance Computing Applications. 30(3). 290–304. 2 indexed citations
3.
Massazza, Giuseppe, et al.. (2014). An improved solution for knee rehabilitation at home. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 6 indexed citations
4.
Han, Dong‐Wook, Antonio Chimienti, & Giuseppe Menga. (2013). Accuracy improvement in structured light system calibration using plane based residual error compensation. PORTO Publications Open Repository TOrino (Politecnico di Torino). 154–159. 3 indexed citations
5.
Han, Dong‐Wook, Antonio Chimienti, & Giuseppe Menga. (2013). Improving calibration accuracy of structured light systems using plane-based residual error compensation. Optical Engineering. 52(10). 104106–104106. 16 indexed citations
6.
Quacchio, Emanuele, Enrico Magli, Gabriella Olmo, Pierpaolo Baccichet, & Antonio Chimienti. (2006). Enhancing Whole-Frame Error Concealment with an Intra Motion Vector Estimator in H.264/AVC. 2. 329–332. 3 indexed citations
7.
Baccichet, Pierpaolo, et al.. (2005). Frame concealment for H.264/AVC decoders. IEEE Transactions on Consumer Electronics. 51(1). 227–233. 29 indexed citations
8.
Chimienti, Antonio, et al.. (2005). Surface reconstruction from sparse data by a multiscale volumetric approach. 35–40.
9.
Chimienti, Antonio, Claudia Ferraris, & Danilo Pau. (2002). A complexity-bounded motion estimation algorithm. IEEE Transactions on Image Processing. 11(4). 387–392. 33 indexed citations
10.
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
11.
Chimienti, Antonio, et al.. (2002). An innovative low complexity MPEG-2 video transcoder operating in the DCT domain. 312–313. 3 indexed citations
12.
Chimienti, Antonio, Luca Fanucci, Riccardo Locatelli, & Sergio Saponara. (2002). VLSI architecture for a low-power video codec system. Microelectronics Journal. 33(5-6). 417–427. 24 indexed citations
13.
Chimienti, Antonio, Luca Fanucci, Riccardo Locatelli, & Sergio Saponara. (2001). Power optimization for H.263/MPEG-4 VLSI video coding. CINECA IRIS Institutial research information system (University of Pisa). 2521–2527. 1 indexed citations
14.
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
15.
Celandroni, Nedo, et al.. (2000). Dynamic Rate Shaping on MPEG‐2 Video Streams for Bandwidth Saving on a Faded Satellite Channel. European Transactions on Telecommunications. 11(4). 363–372. 1 indexed citations
16.
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
17.
Chimienti, Antonio, et al.. (1996). <title>MPEG-2 variable bit rate coding algorithm: analysis and modeling</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2952. 597–607. 4 indexed citations
18.
Bellifemine, Fabio, et al.. (1992). Statistical analysis of the 2D-DCT coefficients of the differential signal for images. Signal Processing Image Communication. 4(6). 477–488. 47 indexed citations
19.
Alparone, Luciano, et al.. (1992). AN APPLICATION OF BROADCAST TV FOR BROAD-BAND DIGITAL NETWORKS. Florence Research (University of Florence). 4. 251–262. 3 indexed citations
20.
Bellifemine, Fabio, et al.. (1991). Image coding with block DCT and motion compensation. Iwo different approaches. European Transactions on Telecommunications. 2(3). 305–312. 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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