Domenico Vitulano
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 5%
- Control and Systems Engineering top 10%
- Signal Processing top 5%
- Artificial Intelligence
- Co-authors
- Vittoria BruniBenedetto PiccoliElisa RossiAnil KokaramMichele NappiAndrew J. CrawfordGiovanni RamponiL. Appolonia
- Topics
- Image and Signal Denoising Methods (32 papers)Blind Source Separation Techniques (13 papers)Machine Fault Diagnosis Techniques (13 papers)
- 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
- Control and Systems Engineering 113
- Signal Processing 112
- Artificial Intelligence 58
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 of co-authors of Domenico Vitulano
This figure shows the co-authorship network connecting the top 25 collaborators of Domenico Vitulano. A scholar is included among the top collaborators of Domenico Vitulano 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 Domenico Vitulano. Domenico Vitulano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | Old movies noise reduction via wavelets and Wiener filter | 5 |
| 16 | 61 | |
| 17 | 8 | |
| 18 | Line Scratch Detection on Digital Images: An Energy Based Model | 5 |
| 19 | 4 | |
| 20 | 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) and Machine Fault Diagnosis Techniques (13 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.