Olga Russakovsky
- Computer Vision and Pattern Recognition top 0.02%
- Artificial Intelligence top 0.02%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Media Technology top 0.1%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Li Fei-FeiJia DengJonathan KrauseMichael S. BernsteinZhiheng HuangAlexander C. BergSanjeev SatheeshAndrej Karpathy
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Multimodal Machine Learning Applications (8 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Olga Russakovsky
30 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 221
- Computer Vision and Pattern Recognition 15.2k
- Artificial Intelligence 9.7k
- Radiology, Nuclear Medicine and Imaging 2.6k
- Media Technology 1.9k
- Electrical and Electronic Engineering 1.4k
Countries citing papers authored by Olga Russakovsky
This map shows the geographic impact of Olga Russakovsky'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 Olga Russakovsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olga Russakovsky more than expected).
Fields of papers citing papers by Olga Russakovsky
This network shows the impact of papers produced by Olga Russakovsky. 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 Olga Russakovsky. The network helps show where Olga Russakovsky may publish in the future.
Co-authorship network of co-authors of Olga Russakovsky
This figure shows the co-authorship network connecting the top 25 collaborators of Olga Russakovsky. A scholar is included among the top collaborators of Olga Russakovsky 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 Olga Russakovsky. Olga Russakovsky 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 | 3 | |
| 3 | 17 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 39 | |
| 7 | 50 | |
| 8 | Directional Bias Amplification | 1 |
| 9 | 1 | |
| 10 | 127 | |
| 11 | 221 | |
| 12 | 14 | |
| 13 | 43 | |
| 14 | 12 | |
| 15 | 41 | |
| 16 | ImageNet Large Scale Visual Recognition Challengebreakdown → | 23680 |
| 17 | 129 | |
| 18 | 37 | |
| 19 | 36 | |
| 20 | 11 |
About Olga Russakovsky
Olga Russakovsky is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition and Health Informatics, having authored 32 papers that have together received 25.1k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Multimodal Machine Learning Applications (8 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (15.2k citations), Artificial Intelligence (9.7k citations) and Health Informatics (313 citations). Olga Russakovsky has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Li Fei-Fei, Jia Deng, Jonathan Krause, Michael S. Bernstein, Zhiheng Huang, Alexander C. Berg, Sanjeev Satheesh, Andrej Karpathy, Aditya Khosla and Hao Su. Their work appears in journals such as Science, International Journal of Computer Vision and Patterns.
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.