Pietro Zanarini
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Computer Networks and Communications
- Signal Processing
- Artificial Intelligence
- Co-authors
- Jarke J. van WijkRiccardo ScateniOlivier CouetRené BrunDavide CarboniR. BöckR. BrunJ. Marín
- Topics
- Advanced Image and Video Retrieval Techniques (2 papers)Distributed and Parallel Computing Systems (2 papers)Computational Physics and Python Applications (2 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionGeography, Planning and Development
- Journals
- Computer Physics CommunicationsInternational Journal of Web Engineering and TechnologyUNICA IRIS Institutional Research Information System (University of Cagliari)
- Partner nations
- ItalySwitzerlandNetherlands
In The Last Decade
Pietro Zanarini
8 papers receiving 269 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 157
- Computer Graphics and Computer-Aided Design 70
- Computer Networks and Communications 48
- Signal Processing 41
- Artificial Intelligence 39
Countries citing papers authored by Pietro Zanarini
This map shows the geographic impact of Pietro Zanarini'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 Zanarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Zanarini more than expected).
Fields of papers citing papers by Pietro Zanarini
This network shows the impact of papers produced by Pietro Zanarini. 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 Zanarini. The network helps show where Pietro Zanarini may publish in the future.
Co-authorship network of co-authors of Pietro Zanarini
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Zanarini. A scholar is included among the top collaborators of Pietro Zanarini 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 Zanarini. Pietro Zanarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 253 | |
| 5 | Visualization in Scientific Computing '95 | 30 |
| 6 | KUIP : Kit for a User Interface Package | 3 |
| 7 | 20 | |
| 8 | 6 |
About Pietro Zanarini
Pietro Zanarini is a scholar working on Information Systems and Management, Human-Computer Interaction and Geography, Planning and Development, having authored 8 papers that have together received 327 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Distributed and Parallel Computing Systems (2 papers) and Computational Physics and Python Applications (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Computer Vision and Pattern Recognition (157 citations) and Geography, Planning and Development (30 citations). Pietro Zanarini has collaborated with scholars based in Italy, Switzerland and Netherlands. Frequent co-authors include Jarke J. van Wijk, Riccardo Scateni, Olivier Couet, René Brun, Davide Carboni, R. Böck, R. Brun, J. Marín and L. Pape. Their work appears in journals such as Computer Physics Communications, International Journal of Web Engineering and Technology and UNICA IRIS Institutional Research Information System (University of Cagliari).
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.