Sara Hooker
Impact in
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Topic Modeling 17
- Natural Language Processing Techniques 17
- Domain Adaptation and Few-Shot Learning 2
- Explainable Artificial Intelligence (XAI) 2
- Hate Speech and Cyberbullying Detection 2
- Law, AI, and Intellectual Property 2
-
- Ethics and Social Impacts of AI 9
- Co-authors
- Been Kim (1 shared paper)Julius Adebayo (1 shared paper)Sven Dähne (1 shared paper)Kristof T. Schütt (1 shared paper)Maximilian Alber (1 shared paper)Dumitru Erhan (1 shared paper)Pieter-Jan Kindermans (1 shared paper)Daniel D’souza (2 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)Patterns (1 paper)Nature (1 paper)Transactions of the Association for Computational Linguistics (1 paper)Communications of the ACM (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sara Hooker
30 papers receiving 873 citations
Sara Hooker's Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 571
- Health Informatics 30
- Safety Research 134
- Hardware and Architecture 27
- Computer Vision and Pattern Recognition 73
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-authors
The 25 scholars most cited alongside Sara Hooker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The (Un)reliability of Saliency Methods Hit paper breakdown → | 2019 | 362 |
| 2 | 2021 | 120 | |
| 3 | 2021 | 98 | |
| 4 | 2023 | 59 | |
| 5 | 2022 | 42 | |
| 6 | 2024 | 42 | |
| 7 | 2024 | 32 | |
| 8 | 2024 | 21 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 16 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2024 | 13 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 6 | |
| 17 | Selective Brain Damage: Measuring the Disparate Impact of Model Pruning | 2019 | 5 |
| 18 | 2023 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2022 | 4 |
About Sara Hooker
Sara Hooker is a scholar working on Artificial Intelligence, Safety Research, Computer Vision and Pattern Recognition, Computer Science Applications and Information Systems, having authored 34 papers that have together received 913 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers), Ethics and Social Impacts of AI (9 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Law, AI, and Intellectual Property (2 papers). The work is most often cited by research in Artificial Intelligence (571 citations), Health Informatics (30 citations), Safety Research (134 citations), Hardware and Architecture (27 citations) and Computer Vision and Pattern Recognition (73 citations). Sara Hooker has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Been Kim, Julius Adebayo, Sven Dähne, Kristof T. Schütt, Maximilian Alber, Dumitru Erhan, Pieter-Jan Kindermans, Daniel D’souza, Chirag Agarwal and Julia Kreutzer. Their work appears in journals such as Nature Machine Intelligence, Patterns, Nature, Transactions of the Association for Computational Linguistics and Communications of the ACM.
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.