Paolo Simonetto
- Computer Vision and Pattern Recognition top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence
- Signal Processing top 10%
- Computational Theory and Mathematics
- Co-authors
- Daniel ArchambaultDavid AuberStephen KobourovBahador SaketRomain BourquiFrédéric GilbertFaraz ZaidiFabien Jourdan
- Topics
- Data Visualization and Analytics (8 papers)Complex Network Analysis Techniques (5 papers)Topological and Geometric Data Analysis (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Visualization and Computer GraphicsComputer Graphics ForumSocial Network Analysis and Mining
- Partner nations
- United StatesFranceNiger
In The Last Decade
Paolo Simonetto
9 papers receiving 238 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 167
- Statistical and Nonlinear Physics 105
- Artificial Intelligence 66
- Signal Processing 54
- Computational Theory and Mathematics 26
Countries citing papers authored by Paolo Simonetto
This map shows the geographic impact of Paolo Simonetto'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 Paolo Simonetto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Simonetto more than expected).
Fields of papers citing papers by Paolo Simonetto
This network shows the impact of papers produced by Paolo Simonetto. 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 Paolo Simonetto. The network helps show where Paolo Simonetto may publish in the future.
Co-authorship network of co-authors of Paolo Simonetto
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Simonetto. A scholar is included among the top collaborators of Paolo Simonetto 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 Paolo Simonetto. Paolo Simonetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 15 | |
| 3 | 14 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | 37 | |
| 7 | 14 | |
| 8 | 51 | |
| 9 | 78 |
About Paolo Simonetto
Paolo Simonetto is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 9 papers that have together received 245 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Complex Network Analysis Techniques (5 papers) and Topological and Geometric Data Analysis (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (105 citations), Computer Vision and Pattern Recognition (167 citations) and Computer Graphics and Computer-Aided Design (19 citations). Paolo Simonetto has collaborated with scholars based in United States, France and Niger. Frequent co-authors include Daniel Archambault, David Auber, Stephen Kobourov, Bahador Saket, Romain Bourqui, Frédéric Gilbert, Faraz Zaidi, Fabien Jourdan, Katy Börner and Sergey Pupyrev. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Social Network Analysis and Mining.
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.