Jackie Kay
Impact in
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- Postcolonial and Cultural Literary Studies
Papers in
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- Ethics and Social Impacts of AI 3
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- Reinforcement Learning in Robotics 2
- Adversarial Robustness in Machine Learning 1
- Co-authors
- Kevin R. McKee (1 shared paper)Thomas Lampe (1 shared paper)Yusuf Aytar (1 shared paper)Konstantinos Bousmalis (1 shared paper)Francesco Nori (1 shared paper)Shakir Mohamed (1 shared paper)Atoosa Kasirzadeh (1 shared paper)Abbas Abdolmaleki (1 shared paper)
- Journals
- Feminist Review (2 papers)Wasafiri (1 paper)Medical Entomology and Zoology (2 papers)Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2 papers)arXiv (Cornell University) (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
Jackie Kay
18 papers receiving 76 citations
Peers
Comparison fields: 5 of 42
- Health Informatics 3
- Literature and Literary Theory 17
- Safety Research 13
- Artificial Intelligence 30
- Computer Science Applications 5
Countries citing papers authored by Jackie Kay
This map shows the geographic impact of Jackie Kay'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 Jackie Kay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackie Kay more than expected).
Fields of papers citing papers by Jackie Kay
This network shows the impact of papers produced by Jackie Kay. 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 Jackie Kay. The network helps show where Jackie Kay may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackie Kay, 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 | 2020 | 31 | |
| 2 | 2022 | 13 | |
| 3 | 2024 | 10 | |
| 4 | Red Dust Road | 2010 | 9 |
| 5 | 2024 | 3 | |
| 6 | Why don't you stop talking | 2002 | 3 |
| 7 | The Maya Character | 1987 | 2 |
| 8 | 2015 | 2 | |
| 9 | 1984 | 2 | |
| 10 | Let It Be Told | 1984 | 1 |
| 11 | Robust Reinforcement Learning for Continuous Control with Model Misspecification | 2020 | 1 |
| 12 | Out of Bounds: British Black & Asian Poets | 2013 | 1 |
| 13 | A Dangerous Knowing: Four Black Women Poets | 1984 | 1 |
| 14 | The Frog Who Dreamed She Was an Opera Singer | 1998 | 1 |
| 15 | 1993 | 1 | |
| 16 | Two's Company | 1992 | 1 |
| 17 | Wish I Was Here | 2006 | 1 |
| 18 | Darling: New & Selected Poems | 2007 | 1 |
| 19 | 2006 | 0 | |
| 20 | New and Selected Poems | 2006 | 0 |
About Jackie Kay
Jackie Kay is a scholar working on Safety Research, Artificial Intelligence, Control and Systems Engineering, Cognitive Neuroscience and Literature and Literary Theory, having authored 20 papers that have together received 84 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (3 papers), Reinforcement Learning in Robotics (2 papers), Adaptive Dynamic Programming Control (1 paper), Advanced MRI Techniques and Applications (1 paper), Postcolonial and Cultural Literary Studies (1 paper), Adversarial Robustness in Machine Learning (1 paper), Epistemology, Ethics, and Metaphysics (1 paper) and Embodied and Extended Cognition (1 paper). The work is most often cited by research in Health Informatics (3 citations), Literature and Literary Theory (17 citations), Safety Research (13 citations), Artificial Intelligence (30 citations) and Computer Science Applications (5 citations). Jackie Kay has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kevin R. McKee, Thomas Lampe, Yusuf Aytar, Konstantinos Bousmalis, Francesco Nori, Shakir Mohamed, Atoosa Kasirzadeh, Abbas Abdolmaleki, Tom Stepleton and Daniel J. Mankowitz. Their work appears in journals such as Feminist Review, Wasafiri, Medical Entomology and Zoology, Proceedings of the AAAI/ACM Conference on AI Ethics and Society and arXiv (Cornell University).
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.