Jackie Kay

2.1k total citations
20 papers, 84 citations indexed

About

Jackie Kay is a scholar working on Safety Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jackie Kay has authored 20 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Safety Research, 2 papers in Artificial Intelligence and 1 paper in Control and Systems Engineering. Recurrent topics in Jackie Kay's work include Ethics and Social Impacts of AI (3 papers), Reinforcement Learning in Robotics (2 papers) and Postcolonial and Cultural Literary Studies (1 paper). Jackie Kay is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Reinforcement Learning in Robotics (2 papers) and Postcolonial and Cultural Literary Studies (1 paper). Jackie Kay collaborates with scholars based in United Kingdom and United States. Jackie Kay's co-authors include Yusuf Aytar, Konstantinos Bousmalis, Francesco Nori, Kevin R. McKee, Thomas Lampe, Shakir Mohamed, Atoosa Kasirzadeh, Ramona Comanescu, James Procter and Nir Levine and has published in prestigious journals such as Feminist Review, Wasafiri and arXiv (Cornell University).

In The Last Decade

Jackie Kay

18 papers receiving 76 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jackie Kay United Kingdom 4 30 17 17 15 14 20 84
Ido Iurgel Germany 6 43 1.4× 22 1.3× 14 0.8× 22 1.5× 32 2.3× 17 105
Ulrike Spierling Germany 6 66 2.2× 37 2.2× 13 0.8× 51 3.4× 42 3.0× 26 156
James Ryan United States 7 113 3.8× 5 0.3× 8 0.5× 9 0.6× 29 2.1× 21 166
Elisabeth Leiss Austria 9 46 1.5× 4 0.2× 5 0.3× 9 0.6× 4 0.3× 27 243
Sudirman Sudirman Indonesia 9 23 0.8× 9 0.5× 3 0.2× 5 0.3× 3 0.2× 119 369
Gene Ball United States 5 80 2.7× 18 1.1× 1 0.1× 16 1.1× 10 0.7× 6 110
Ajay Kannan United States 4 9 0.3× 7 0.4× 5 0.3× 8 0.5× 2 0.1× 5 36
Douglas MacLeod 2 4 0.1× 7 0.4× 8 0.5× 10 0.7× 29 2.1× 6 81
Micah Carroll United States 5 46 1.5× 6 0.4× 5 0.3× 17 1.2× 5 84
Zijun Lin United Kingdom 3 12 0.4× 5 0.3× 2 0.1× 7 0.5× 4 0.3× 3 66

Countries citing papers authored by Jackie Kay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jackie Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Jackie Kay. A scholar is included among the top collaborators of Jackie Kay 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 Jackie Kay. Jackie Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marchal, Nahema, Arianna Manzini, Lisa Anne Hendricks, et al.. (2024). Gaps in the Safety Evaluation of Generative AI. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 1200–1217. 3 indexed citations
2.
Kay, Jackie, Atoosa Kasirzadeh, & Shakir Mohamed. (2024). Epistemic Injustice in Generative AI. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 7. 684–697. 10 indexed citations
3.
Kay, Jackie, et al.. (2022). Subverting machines, fluctuating identities: Re-learning human categorization. arXiv (Cornell University). 1005–1015. 13 indexed citations
4.
Mankowitz, Daniel J., Nir Levine, Abbas Abdolmaleki, et al.. (2020). Robust Reinforcement Learning for Continuous Control with Model Misspecification. arXiv (Cornell University). 1 indexed citations
5.
Aytar, Yusuf, et al.. (2020). Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation. 2718–2724. 31 indexed citations
6.
Kay, Jackie, et al.. (2015). Real-time Performance in ROS 2. 2 indexed citations
7.
Kay, Jackie, James Procter, & Gemma Robinson. (2013). Out of Bounds: British Black & Asian Poets. 1 indexed citations
8.
Kay, Jackie. (2010). Red Dust Road. Medical Entomology and Zoology. 9 indexed citations
9.
Kay, Jackie. (2007). Darling: New & Selected Poems. 1 indexed citations
10.
Kay, Jackie. (2006). Wish I Was Here. 1 indexed citations
11.
Kay, Jackie. (2006). What Ever. Wasafiri. 21(2). 27–31.
12.
Kay, Jackie. (2006). New and Selected Poems.
13.
Kay, Jackie. (2002). Why don't you stop talking. 3 indexed citations
14.
Kay, Jackie. (1998). The Frog Who Dreamed She Was an Opera Singer. 1 indexed citations
15.
Kay, Jackie. (1993). My Grandmother. Feminist Review. 45(1). 85–85. 1 indexed citations
16.
Kay, Jackie, et al.. (1992). Two's Company. 1 indexed citations
17.
Kay, Jackie. (1987). The Maya Character. 1(102). 2 indexed citations
18.
Kay, Jackie. (1984). Let It Be Told. Kunapipi. 16(1). 112. 1 indexed citations
19.
Kay, Jackie, et al.. (1984). A Dangerous Knowing: Four Black Women Poets. Medical Entomology and Zoology. 1 indexed citations
20.
Kay, Jackie. (1984). So you think I am a Mule?. Feminist Review. 17(1). 80–80. 2 indexed citations

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.

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