Susanna Ricco
- Computer Vision and Pattern Recognition top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Ophthalmology top 10%
- Aerospace Engineering
- Co-authors
- Joel S. SchumanMei ChenCarlo TomasiGadi WollsteinHiroshi IshikawaLuca Del PeroRahul SukthankarVittorio Ferrari
- Topics
- Advanced Vision and Imaging (4 papers)Human Pose and Action Recognition (4 papers)Video Analysis and Summarization (3 papers)
- Cited by
- OphthalmologyComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Journals
- International Journal of Computer VisionLecture notes in computer scienceEdinburgh Research Explorer
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Susanna Ricco
10 papers receiving 144 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 72
- Biomedical Engineering 58
- Radiology, Nuclear Medicine and Imaging 57
- Ophthalmology 44
- Aerospace Engineering 18
Countries citing papers authored by Susanna Ricco
This map shows the geographic impact of Susanna Ricco'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 Susanna Ricco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanna Ricco more than expected).
Fields of papers citing papers by Susanna Ricco
This network shows the impact of papers produced by Susanna Ricco. 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 Susanna Ricco. The network helps show where Susanna Ricco may publish in the future.
Co-authorship network of co-authors of Susanna Ricco
This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Ricco. A scholar is included among the top collaborators of Susanna Ricco 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 Susanna Ricco. Susanna Ricco 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 | 12 | |
| 3 | Self-Supervised Learning of Structure and Motion from Video | 1 |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 20 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 9 | |
| 10 | 64 | |
| 11 | 1 | |
| 12 | Scavenging with a laptop robot | 0 |
About Susanna Ricco
Susanna Ricco is a scholar working on Computer Vision and Pattern Recognition, Ophthalmology and Aerospace Engineering, having authored 12 papers that have together received 149 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Human Pose and Action Recognition (4 papers) and Video Analysis and Summarization (3 papers). The work is most often cited by research in Ophthalmology (44 citations), Computer Vision and Pattern Recognition (72 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Susanna Ricco has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Joel S. Schuman, Mei Chen, Carlo Tomasi, Gadi Wollstein, Hiroshi Ishikawa, Luca Del Pero, Rahul Sukthankar, Vittorio Ferrari, Ronald Parr and Ellis P. Monk. Their work appears in journals such as International Journal of Computer Vision, Lecture notes in computer science and Edinburgh Research Explorer.
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.