Sara Hooker
- Artificial Intelligence top 10%
- Safety Research top 10%
- Health Informatics top 5%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Daniel D’souzaChirag AgarwalBeyza ErmişJulia KreutzerPatrick A. LewisAaron CourvilleAndrea FromeNiklas Muennighoff
- Topics
- Natural Language Processing Techniques (5 papers)Topic Modeling (4 papers)Adversarial Robustness in Machine Learning (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sara Hooker
14 papers receiving 188 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 110
- Safety Research 40
- Health Informatics 27
- Sociology and Political Science 20
- Computer Vision and Pattern Recognition 18
Countries citing papers authored by Sara Hooker
This map shows the geographic impact of Sara Hooker'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 Sara Hooker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Hooker more than expected).
Fields of papers citing papers by Sara Hooker
This network shows the impact of papers produced by Sara Hooker. 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 Sara Hooker. The network helps show where Sara Hooker may publish in the future.
Co-authorship network of co-authors of Sara Hooker
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hooker. A scholar is included among the top collaborators of Sara Hooker 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 Sara Hooker. Sara Hooker 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 | 0 | |
| 3 | 3 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 2 | |
| 16 | 26 | |
| 17 | 95 | |
| 18 | Selective Brain Damage: Measuring the Disparate Impact of Model Pruning | 7 |
About Sara Hooker
Sara Hooker is a scholar working on Health Informatics, Artificial Intelligence and Safety Research, having authored 18 papers that have together received 202 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Topic Modeling (4 papers) and Adversarial Robustness in Machine Learning (3 papers). The work is most often cited by research in Health Informatics (27 citations), Safety Research (40 citations) and Artificial Intelligence (110 citations). Sara Hooker has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel D’souza, Chirag Agarwal, Beyza Ermiş, Julia Kreutzer, Patrick A. Lewis, Aaron Courville, Andrea Frome, Niklas Muennighoff, Yann Dauphin and Marzieh Fadaee. Their work appears in journals such as Nature, Nature Machine Intelligence 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.