Serena Booth
Impact in
- Safety Research top 10%
- Ethics and Social Impacts of AI
Papers in
-
- Explainable Artificial Intelligence (XAI) 6
- Adversarial Robustness in Machine Learning 4
- Reinforcement Learning in Robotics 2
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- Human-Automation Interaction and Safety 2
- Social Robot Interaction and HRI 2
- Co-authors
- Julie Shah (7 shared papers)Yilun Zhou (4 shared papers)Marco Túlio Ribeiro (1 shared paper)Krzysztof Z. Gajos (1 shared paper)Jim Waldo (1 shared paper)Radhika Nagpal (1 shared paper)Hanspeter Pfister (1 shared paper)James Tompkin (1 shared paper)
- Journals
- ACM Transactions on Human-Robot Interaction (1 paper)Frontiers in Robotics and AI (1 paper)2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI) (1 paper)University of Birmingham Research Portal (University of Birmingham) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Serena Booth
13 papers receiving 194 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 11
- Safety Research 64
- Artificial Intelligence 120
- Social Psychology 68
- Human-Computer Interaction 14
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 | 56 | |
| 2 | 2017 | 51 | |
| 3 | 2022 | 42 | |
| 4 | 2023 | 16 | |
| 5 | 2020 | 11 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2021 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 1 | |
| 12 | Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. | 2020 | 1 |
| 13 | 2020 | 1 | |
| 14 | 2025 | 0 |
About Serena Booth
Serena Booth is a scholar working on Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition, Control and Systems Engineering and Safety Research, having authored 14 papers that have together received 204 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (6 papers), Adversarial Robustness in Machine Learning (4 papers), Ethics and Social Impacts of AI (2 papers), Robot Manipulation and Learning (2 papers), Human-Automation Interaction and Safety (2 papers), Reinforcement Learning in Robotics (2 papers), Social Robot Interaction and HRI (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Health Informatics (11 citations), Safety Research (64 citations), Artificial Intelligence (120 citations), Social Psychology (68 citations) and Human-Computer Interaction (14 citations). Serena Booth has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Julie Shah, Yilun Zhou, Marco Túlio Ribeiro, Krzysztof Z. Gajos, Jim Waldo, Radhika Nagpal, Hanspeter Pfister, James Tompkin, Andreas Theodorou and Naomi Jacobs. Their work appears in journals such as ACM Transactions on Human-Robot Interaction, Frontiers in Robotics and AI, 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI), University of Birmingham Research Portal (University of Birmingham) 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.