Bruno Carpentieri
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- Advanced Data Compression Techniques 34
- Advanced Steganography and Watermarking Techniques 16
- Chaos-based Image/Signal Encryption 12
- Advanced Vision and Imaging 10
- Image Retrieval and Classification Techniques 8
- Image and Signal Denoising Methods 6
- Signal Processing top 5%
- Video Coding and Compression Technologies 14
- Artificial Intelligence top 5%
- Algorithms and Data Compression 25
- Media Technology top 5%
- Information Systems top 10%
- Co-authors
- Raffaele PizzolanteJames A. StorerAlfredo De SantisArcangelo CastiglioneGaetano MottaFrancesco RizzoFrancesco PalmieriAniello Castiglione
- Journals
- Proceedings of the IEEE (3 papers)Information Sciences (4 papers)Future Generation Computer Systems (2 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Bruno Carpentieri
66 papers receiving 747 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 604
- Signal Processing 132
- Artificial Intelligence 268
- Media Technology 57
- Information Systems 97
Countries citing papers authored by Bruno Carpentieri
This map shows the geographic impact of Bruno Carpentieri'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 Bruno Carpentieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Carpentieri more than expected).
Fields of papers citing papers by Bruno Carpentieri
This network shows the impact of papers produced by Bruno Carpentieri. 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 Bruno Carpentieri. The network helps show where Bruno Carpentieri may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Bruno Carpentieri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2017 | 21 | |
| 6 | Copyright Protection for Digital Images on Portable Devices | 2016 | 2 |
| 7 | 2015 | 6 | |
| 8 | A Lossless Invisible Watermarking Scheme for Hyperspectral Images | 2015 | 0 |
| 9 | 2015 | 5 | |
| 10 | 2014 | 6 | |
| 11 | Band Clustering for the Lossless Compression of AVIRIS Hyperspectral Images | 2014 | 3 |
| 12 | 2013 | 12 | |
| 13 | 2013 | 19 | |
| 14 | 2011 | 16 | |
| 15 | Image compression via textual substitution | 2009 | 2 |
| 16 | Improving the performance of Adaptive Linear Prediction Coding (ALPC) via LeastSquare Minimization | 2005 | 0 |
| 17 | Compression of Hyperspectral Imagery. | 2004 | 15 |
| 18 | 2004 | 12 | |
| 19 | 2002 | 1 | |
| 20 | 1996 | 2 |
About Bruno Carpentieri
Bruno Carpentieri is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 73 papers that have together received 800 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (34 papers), Algorithms and Data Compression (25 papers), Advanced Steganography and Watermarking Techniques (16 papers), Video Coding and Compression Technologies (14 papers), Chaos-based Image/Signal Encryption (12 papers), Advanced Vision and Imaging (10 papers), Image Retrieval and Classification Techniques (8 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (604 citations), Signal Processing (132 citations) and Artificial Intelligence (268 citations). Bruno Carpentieri has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Raffaele Pizzolante, James A. Storer, Alfredo De Santis, Arcangelo Castiglione, Gaetano Motta, Francesco Rizzo, Francesco Palmieri, Aniello Castiglione, M.J. Weinberger and G. Seroussi. Their work appears in journals such as Proceedings of the IEEE, Information Sciences and Future Generation Computer Systems.
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.