Giovanni Poggi
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.2%
- Signal Processing top 1%
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Co-authors
- Luisa VerdolivaDavide CozzolinoCarlo SansoneGiuseppe ScarpaDiego GragnanielloFrancesco MarraRaffaele GaetanoA.R.P. Ragozini
- Topics
- Image and Signal Denoising Methods (41 papers)Advanced Data Compression Techniques (32 papers)Advanced Image Fusion Techniques (28 papers)
In The Last Decade
Giovanni Poggi
126 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 3.2k
- Media Technology 1.4k
- Signal Processing 631
- Aerospace Engineering 478
- Artificial Intelligence 435
Countries citing papers authored by Giovanni Poggi
This map shows the geographic impact of Giovanni Poggi'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 Giovanni Poggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Poggi more than expected).
Fields of papers citing papers by Giovanni Poggi
This network shows the impact of papers produced by Giovanni Poggi. 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 Giovanni Poggi. The network helps show where Giovanni Poggi may publish in the future.
Co-authorship network of co-authors of Giovanni Poggi
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Poggi. A scholar is included among the top collaborators of Giovanni Poggi 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 Giovanni Poggi. Giovanni Poggi 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 | 19 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 28 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 60 | |
| 12 | 157 | |
| 13 | 49 | |
| 14 | 83 | |
| 15 | 25 | |
| 16 | 8 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 27 | |
| 20 | Address vector quantization with topology-preserving codebook ordering | 7 |
About Giovanni Poggi
Giovanni Poggi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 131 papers that have together received 4.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (41 papers), Advanced Data Compression Techniques (32 papers) and Advanced Image Fusion Techniques (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.2k citations), Media Technology (1.4k citations) and Signal Processing (631 citations). Giovanni Poggi has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Luisa Verdoliva, Davide Cozzolino, Carlo Sansone, Giuseppe Scarpa, Diego Gragnaniello, Francesco Marra, Raffaele Gaetano, A.R.P. Ragozini, Pier Luigi Dragotti and Sara Parrilli. Their work appears in journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.
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.