Scott Reed
About
In The Last Decade
Scott Reed
25 papers receiving 30.6k citations
Hit Papers
Peers
Comparison fields: 5 of 215
- Computer Vision and Pattern Recognition 17.8k
- Artificial Intelligence 10.2k
- Radiology, Nuclear Medicine and Imaging 3.6k
- Media Technology 3.0k
- Biomedical Engineering 2.1k
Countries citing papers authored by Scott Reed
This map shows the geographic impact of Scott Reed'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 Scott Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Reed more than expected).
Fields of papers citing papers by Scott Reed
This network shows the impact of papers produced by Scott Reed. 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 Scott Reed. The network helps show where Scott Reed may publish in the future.
Co-authorship network of co-authors of Scott Reed
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Reed. A scholar is included among the top collaborators of Scott Reed 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 Scott Reed. Scott Reed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Critic Regularized Regression | 1 |
| 2 | A Framework for Data-Driven Robotics | 4 |
| 3 | Learning Compositional Neural Programs with Recursive Tree Search and Planning | 2 |
| 4 | Sample-efficient adaptive text-to-speech | 16 |
| 5 | 27 | |
| 6 | Visual Imitation with a Minimal Adversary | 1 |
| 7 | Coupled control of a lightweight ROV and manipulator arm for intervention tasks | 3 |
| 8 | Robust imitation of diverse behaviors | 25 |
| 9 | Neural Programmer-Interpreters | 89 |
| 10 | 23 | |
| 11 | Learning Deep Representations of Fine-Grained Visual Descriptions breakdown → | 480 |
| 12 | Deep visual analogy-making | 71 |
| 13 | TRAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING | 145 |
| 14 | Going deeper with convolutions breakdown → | 30609 |
| 15 | Learning to Disentangle Factors of Variation with Manifold Interaction | 86 |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 11 | |
| 19 | 6 | |
| 20 | Quantifying and simulating the behavior of knowledge-based interpretation systems | 12 |
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.