Domenico Vitulano
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- Image and Signal Denoising Methods 32
- Advanced Image Processing Techniques 9
- Image and Video Quality Assessment 8
- Image Retrieval and Classification Techniques 7
- Media Technology top 5%
- Advanced Image Fusion Techniques 10
- Image Processing Techniques and Applications 7
- Signal Processing top 5%
- Blind Source Separation Techniques 13
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques 13
- Co-authors
- Vittoria BruniBenedetto PiccoliElisa RossiAnil KokaramMichele NappiAndrew J. CrawfordGiovanni RamponiL. Appolonia
- Journals
- IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Image Processing (1 paper)Sustainability (1 paper)
- Partner nations
- ItalyUnited StatesIreland
In The Last Decade
Domenico Vitulano
74 papers receiving 569 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 372
- Media Technology 116
- Signal Processing 112
- Computer Graphics and Computer-Aided Design 24
- Control and Systems Engineering 113
Countries citing papers authored by Domenico Vitulano
This map shows the geographic impact of Domenico Vitulano'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 Domenico Vitulano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Domenico Vitulano more than expected).
Fields of papers citing papers by Domenico Vitulano
This network shows the impact of papers produced by Domenico Vitulano. 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 Domenico Vitulano. The network helps show where Domenico Vitulano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Domenico Vitulano, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2011 | 9 | |
| 12 | 2007 | 6 | |
| 13 | 2006 | 3 | |
| 14 | 2005 | 4 | |
| 15 | Old movies noise reduction via wavelets and Wiener filter | 2004 | 5 |
| 16 | 2004 | 61 | |
| 17 | 2004 | 8 | |
| 18 | Line Scratch Detection on Digital Images: An Energy Based Model | 2002 | 5 |
| 19 | 2001 | 4 | |
| 20 | 1999 | 6 |
About Domenico Vitulano
Domenico Vitulano is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 83 papers that have together received 593 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (32 papers), Blind Source Separation Techniques (13 papers), Machine Fault Diagnosis Techniques (13 papers), Advanced Image Fusion Techniques (10 papers), Advanced Image Processing Techniques (9 papers), Image and Video Quality Assessment (8 papers), Image Retrieval and Classification Techniques (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (372 citations), Media Technology (116 citations) and Signal Processing (112 citations). Domenico Vitulano has collaborated with scholars based in Italy, United States and Ireland. Frequent co-authors include Vittoria Bruni, Benedetto Piccoli, Elisa Rossi, Anil Kokaram, Michele Nappi, Andrew J. Crawford, Giovanni Ramponi, L. Appolonia, Ovidio Salvetti and Daniela De Canditiis. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and Sustainability.
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.