Jess Whittlestone

950 total citations
10 papers, 357 citations indexed

About

Jess Whittlestone is a scholar working on Safety Research, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Jess Whittlestone has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Safety Research, 4 papers in Artificial Intelligence and 3 papers in Health Informatics. Recurrent topics in Jess Whittlestone's work include Ethics and Social Impacts of AI (7 papers), Artificial Intelligence in Healthcare and Education (3 papers) and COVID-19 diagnosis using AI (2 papers). Jess Whittlestone is often cited by papers focused on Ethics and Social Impacts of AI (7 papers), Artificial Intelligence in Healthcare and Education (3 papers) and COVID-19 diagnosis using AI (2 papers). Jess Whittlestone collaborates with scholars based in United Kingdom, South Sudan and China. Jess Whittlestone's co-authors include Stephen Cave, Rune Nyrup, Anna Alexandrova, Seán Ó hÉigeartaigh, Yi Zeng, Zhe Liu, Kai Arulkumaran, Matthew Crosby, Asaf Tzachor and Carina Prunkl and has published in prestigious journals such as BMJ, Journal of Artificial Intelligence Research and Nature Machine Intelligence.

In The Last Decade

Jess Whittlestone

10 papers receiving 327 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jess Whittlestone United Kingdom	7	224	130	81	77	60	10	357
John Zerilli United Kingdom	6	198 0.9×	164 1.3×	72 0.9×	92 1.2×	61 1.0×	17	400
Scott Robbins Netherlands	8	204 0.9×	120 0.9×	102 1.3×	57 0.7×	64 1.1×	12	374
Claudio Novelli Italy	9	177 0.8×	132 1.0×	42 0.5×	44 0.6×	49 0.8×	29	356
Razvan Amironesei United States	6	151 0.7×	114 0.9×	34 0.4×	47 0.6×	70 1.2×	12	354
Michael Katell United Kingdom	8	218 1.0×	116 0.9×	41 0.5×	42 0.5×	73 1.2×	24	355
Reuben Binns United Kingdom	4	216 1.0×	155 1.2×	52 0.6×	39 0.5×	86 1.4×	8	373
Michelle Seng Ah Lee United Kingdom	9	248 1.1×	153 1.2×	40 0.5×	44 0.6×	61 1.0×	18	357
Jonas Schuett Germany	8	145 0.6×	131 1.0×	36 0.4×	59 0.8×	41 0.7×	13	310
Kimon Kieslich Germany	8	164 0.7×	100 0.8×	53 0.7×	54 0.7×	94 1.6×	17	324
Nina Grgić-Hlača Germany	10	308 1.4×	208 1.6×	72 0.9×	45 0.6×	91 1.5×	15	447

Countries citing papers authored by Jess Whittlestone

Since Specialization

Citations

This map shows the geographic impact of Jess Whittlestone'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 Jess Whittlestone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jess Whittlestone more than expected).

Fields of papers citing papers by Jess Whittlestone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jess Whittlestone. 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 Jess Whittlestone. The network helps show where Jess Whittlestone may publish in the future.

Co-authorship network of co-authors of Jess Whittlestone

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

All Works

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10 of 10 papers shown

1.

Cave, Stephen, Jess Whittlestone, Rune Nyrup, Seán Ó hÉigeartaigh, & Rafael A. Calvo. (2021). Using AI ethically to tackle covid-19. BMJ. 372. n364–n364. 19 indexed citations

2.

Whittlestone, Jess, et al.. (2021). Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI. International Journal of Interactive Multimedia and Artificial Intelligence. 6(5). 100–109. 4 indexed citations

3.

Whittlestone, Jess, Kai Arulkumaran, & Matthew Crosby. (2021). The Societal Implications of Deep Reinforcement Learning. Journal of Artificial Intelligence Research. 70. 23 indexed citations

4.

Whittlestone, Jess, et al.. (2021). Artificial Canaries: Early Warning Signs for Anticipatory and Democratic Governance of AI.. International Journal of Interactive Multimedia and Artificial Intelligence. 6(5). 100–109. 12 indexed citations

5.

Avin, Shahar, et al.. (2021). Submission of Evidence to The House of Lords Select Committee on Risk Assessment and Risk Planning. Apollo (University of Cambridge). 1 indexed citations

6.

hÉigeartaigh, Seán Ó, et al.. (2020). Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance. Philosophy & Technology. 33(4). 571–593. 85 indexed citations

7.

Tzachor, Asaf, et al.. (2020). Artificial intelligence in a crisis needs ethics with urgency. Nature Machine Intelligence. 2(7). 365–366. 30 indexed citations

8.

Prunkl, Carina & Jess Whittlestone. (2020). Beyond Near- and Long-Term. Proceedings of the AAAI/ACM Conference on AI Ethics and Society. 138–143. 14 indexed citations

9.

Whittlestone, Jess, et al.. (2019). Defining and Unpacking Transformative AI.. arXiv (Cornell University). 3 indexed citations

10.

Whittlestone, Jess, Rune Nyrup, Anna Alexandrova, & Stephen Cave. (2019). The Role and Limits of Principles in AI Ethics. 195–200. 166 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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