Stefano Soatto
About
In The Last Decade
Stefano Soatto
267 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Computer Vision and Pattern Recognition 8.5k
- Aerospace Engineering 2.7k
- Artificial Intelligence 2.1k
- Media Technology 1.4k
- Computational Mechanics 791
Countries citing papers authored by Stefano Soatto
This map shows the geographic impact of Stefano Soatto'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 Stefano Soatto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Soatto more than expected).
Fields of papers citing papers by Stefano Soatto
This network shows the impact of papers produced by Stefano Soatto. 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 Stefano Soatto. The network helps show where Stefano Soatto may publish in the future.
Co-authorship network of co-authors of Stefano Soatto
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Soatto. A scholar is included among the top collaborators of Stefano Soatto 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 Stefano Soatto. Stefano Soatto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 77 | |
| 2 | Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction | 11 |
| 3 | Meta-Q-Learning | 1 |
| 4 | 2 | |
| 5 | 74 | |
| 6 | VOICED: Depth Completion from Inertial Odometry and Vision. | 2 |
| 7 | LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. | 5 |
| 8 | Analysis of universal adversarial perturbations | 46 |
| 9 | Information Dropout: learning optimal representations through noise | 7 |
| 10 | Modeling Visual Representations: Defining Properties and Deep Approximations | 1 |
| 11 | Visual Scene Representations: Sufficiency, Minimality, Invariance and Deep Approximations. | 2 |
| 12 | Visual Scene Representations: Scaling and Occlusion in Convolutional Architectures | 1 |
| 13 | 3 | |
| 14 | Observability, Identifiability, Sensitivity and Model Reduction For Vision-Assisted Inertial Navigation. | 2 |
| 15 | Multiple Instance Filtering | 1 |
| 16 | Scalable Dense Large-Scale Mapping and Navigation | 3 |
| 17 | Occlusion Detection and Motion Estimation with Convex Optimization | 27 |
| 18 | Heartbeat of a Nest: Using Imagers as Biological Sensors | 4 |
| 19 | Vision Based Navigation | 0 |
| 20 | Towards Plenoptic Dynamic Textures | 4 |
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.