Giuseppe Messina
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Electrical and Electronic Engineering
- Plant Science
- Atomic and Molecular Physics, and Optics
- Co-authors
- Sebastiano BattiatoFilippo VellaGiovanni GalloArcangelo BrunaKingsley W. DixonValeria TomaselliSergio MugnaiCamilla Pandolfi
- Topics
- Advanced Vision and Imaging (8 papers)Image and Signal Denoising Methods (7 papers)Advanced Image Processing Techniques (6 papers)
- Cited by
- Media TechnologyComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- ItalySwitzerlandAustralia
In The Last Decade
Giuseppe Messina
25 papers receiving 277 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 251
- Media Technology 132
- Electrical and Electronic Engineering 28
- Plant Science 22
- Atomic and Molecular Physics, and Optics 14
Countries citing papers authored by Giuseppe Messina
This map shows the geographic impact of Giuseppe Messina'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 Giuseppe Messina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Messina more than expected).
Fields of papers citing papers by Giuseppe Messina
This network shows the impact of papers produced by Giuseppe Messina. 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 Giuseppe Messina. The network helps show where Giuseppe Messina may publish in the future.
Co-authorship network of co-authors of Giuseppe Messina
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Messina. A scholar is included among the top collaborators of Giuseppe Messina 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 Giuseppe Messina. Giuseppe Messina 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 2 | |
| 17 | 30 | |
| 18 | 7 | |
| 19 | 18 | |
| 20 | 97 |
About Giuseppe Messina
Giuseppe Messina is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 30 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Image and Signal Denoising Methods (7 papers) and Advanced Image Processing Techniques (6 papers). The work is most often cited by research in Media Technology (132 citations), Computer Vision and Pattern Recognition (251 citations) and Computer Graphics and Computer-Aided Design (8 citations). Giuseppe Messina has collaborated with scholars based in Italy, Switzerland and Australia. Frequent co-authors include Sebastiano Battiato, Filippo Vella, Giovanni Gallo, Arcangelo Bruna, Kingsley W. Dixon, Valeria Tomaselli, Sergio Mugnai, Camilla Pandolfi, Deanna P. Rokich and Stefano Mancuso. Their work appears in journals such as Taxon, IEEE Transactions on Consumer Electronics and Genes.
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.