Pietro Zanuttigh
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Human-Computer Interaction top 0.5%
- Biomedical Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Umberto MichieliFabio DominioGiulio MarinGuido M. CortelazzoMarco ToldoCarlo Dal MuttoGianluca AgrestiSimone Milani
- Topics
- Advanced Vision and Imaging (34 papers)Domain Adaptation and Few-Shot Learning (18 papers)Advanced Neural Network Applications (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
In The Last Decade
Pietro Zanuttigh
89 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 642
- Human-Computer Interaction 615
- Biomedical Engineering 232
- Control and Systems Engineering 221
Countries citing papers authored by Pietro Zanuttigh
This map shows the geographic impact of Pietro Zanuttigh'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 Pietro Zanuttigh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Zanuttigh more than expected).
Fields of papers citing papers by Pietro Zanuttigh
This network shows the impact of papers produced by Pietro Zanuttigh. 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 Pietro Zanuttigh. The network helps show where Pietro Zanuttigh may publish in the future.
Co-authorship network of co-authors of Pietro Zanuttigh
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Zanuttigh. A scholar is included among the top collaborators of Pietro Zanuttigh 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 Pietro Zanuttigh. Pietro Zanuttigh 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 | 8 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 39 | |
| 9 | 91 | |
| 10 | 51 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 142 | |
| 14 | 6 | |
| 15 | 30 | |
| 16 | Time-of-Flight and Structured Light Depth Cameras: Technology and Applications | 22 |
| 17 | 93 | |
| 18 | 8 | |
| 19 | 69 | |
| 20 | 36 |
About Pietro Zanuttigh
Pietro Zanuttigh is a scholar working on Instrumentation, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (34 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Advanced Neural Network Applications (16 papers). The work is most often cited by research in Human-Computer Interaction (615 citations), Computer Vision and Pattern Recognition (1.6k citations) and Instrumentation (182 citations). Pietro Zanuttigh has collaborated with scholars based in Italy, Australia and Taiwan. Frequent co-authors include Umberto Michieli, Fabio Dominio, Giulio Marin, Guido M. Cortelazzo, Marco Toldo, Carlo Dal Mutto, Gianluca Agresti, Simone Milani, David Taubman and Emanuele Menegatti. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.