Serena Booth
Impact in
- Health Informatics top 10%
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 7
- Adversarial Robustness in Machine Learning 3
- Topic Modeling 3
- Reinforcement Learning in Robotics 3
- Domain Adaptation and Few-Shot Learning 2
-
- Ethics and Social Impacts of AI 3
- Co-authors
- Julie Shah (6 shared papers)Yilun Zhou (3 shared papers)Marco Túlio Ribeiro (1 shared paper)Jim Waldo (1 shared paper)Radhika Nagpal (1 shared paper)Krzysztof Z. Gajos (1 shared paper)Hanspeter Pfister (1 shared paper)James Tompkin (1 shared paper)
- Journals
- Frontiers in Robotics and AI (1 paper)ACM Transactions on Human-Robot Interaction (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (3 papers)Proceedings of the AAAI Conference on Artificial Intelligence (5 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Serena Booth
14 papers receiving 284 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 14
- Safety Research 78
- Artificial Intelligence 173
- Social Psychology 82
- Human-Computer Interaction 19
Countries citing papers authored by Serena Booth
This map shows the geographic impact of Serena Booth'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 Serena Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Booth more than expected).
Fields of papers citing papers by Serena Booth
This network shows the impact of papers produced by Serena Booth. 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 Serena Booth. The network helps show where Serena Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside Serena Booth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 71 | |
| 2 | 2017 | 70 | |
| 3 | 2022 | 63 | |
| 4 | 2023 | 26 | |
| 5 | 2020 | 14 | |
| 6 | Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development | 2021 | 10 |
| 7 | 2021 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Serena Booth
Serena Booth is a scholar working on Artificial Intelligence, Safety Research, Social Psychology, Computer Vision and Pattern Recognition and Biophysics, having authored 16 papers that have together received 296 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (7 papers), Ethics and Social Impacts of AI (3 papers), Adversarial Robustness in Machine Learning (3 papers), Topic Modeling (3 papers), Reinforcement Learning in Robotics (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Social Robot Interaction and HRI (2 papers) and Human-Automation Interaction and Safety (2 papers). The work is most often cited by research in Health Informatics (14 citations), Safety Research (78 citations), Artificial Intelligence (173 citations), Social Psychology (82 citations) and Human-Computer Interaction (19 citations). Serena Booth has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Julie Shah, Yilun Zhou, Marco Túlio Ribeiro, Jim Waldo, Radhika Nagpal, Krzysztof Z. Gajos, Hanspeter Pfister, James Tompkin, Andreas A. Theodorou and Scott Niekum. Their work appears in journals such as Frontiers in Robotics and AI, ACM Transactions on Human-Robot Interaction, DSpace@MIT (Massachusetts Institute of Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.