Silvia Biasotti
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Theory and Mathematics top 2%
- Geology top 2%
- Co-authors
- Michela SpagnuoloDaniela GiorgiBianca FalcidienoGiuseppe PatanèAndrea CerriSimone MariniMarco AtteneVincent Barra
- Topics
- 3D Shape Modeling and Analysis (44 papers)Image Processing and 3D Reconstruction (29 papers)Image Retrieval and Classification Techniques (25 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- SHILAP Revista de lepidopterologíaJournal of Computational PhysicsACM Computing Surveys
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Silvia Biasotti
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 1.1k
- Computational Mechanics 981
- Computer Graphics and Computer-Aided Design 432
- Computational Theory and Mathematics 321
- Geology 194
Countries citing papers authored by Silvia Biasotti
This map shows the geographic impact of Silvia Biasotti'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 Silvia Biasotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Biasotti more than expected).
Fields of papers citing papers by Silvia Biasotti
This network shows the impact of papers produced by Silvia Biasotti. 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 Silvia Biasotti. The network helps show where Silvia Biasotti may publish in the future.
Co-authorship network of co-authors of Silvia Biasotti
This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Biasotti. A scholar is included among the top collaborators of Silvia Biasotti 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 Silvia Biasotti. Silvia Biasotti 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 | 2 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 6 | |
| 19 | 5 | |
| 20 | 2 |
About Silvia Biasotti
Silvia Biasotti is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (44 papers), Image Processing and 3D Reconstruction (29 papers) and Image Retrieval and Classification Techniques (25 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (432 citations), Computer Vision and Pattern Recognition (1.1k citations) and Computational Mechanics (981 citations). Silvia Biasotti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Michela Spagnuolo, Daniela Giorgi, Bianca Falcidieno, Giuseppe Patanè, Andrea Cerri, Simone Marini, Marco Attene, Vincent Barra, Martin Reuter and Patrizio Frosini. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and ACM Computing Surveys.
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.