Will Hawkins

1.8k total citations
2 papers, 9 citations indexed

About

Will Hawkins is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Will Hawkins has authored 2 papers receiving a total of 9 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Health Informatics and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in Will Hawkins's work include Ethics in Clinical Research (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Digital Media Forensic Detection (1 paper). Will Hawkins is often cited by papers focused on Ethics in Clinical Research (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Digital Media Forensic Detection (1 paper). Will Hawkins collaborates with scholars based in United Kingdom. Will Hawkins's co-authors include Brent Mittelstadt and Chris Russell and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Will Hawkins

1 paper receiving 9 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Will Hawkins United Kingdom	1	7	4	3	2	2	2	9
Nestor Maslej United States	2	4 0.6×	3 0.8×	4 1.3×			2	11
Margi Sheth United Kingdom	2	3 0.4×	2 0.5×	1 0.3×		1 0.5×	4	6
Fabian Both Germany	2	4 0.6×		2 0.7×	1 0.5×		2	6
J. Weng Switzerland	3	3 0.4×	1 0.3×	3 1.0×			9	13
S. Messina Italy	2	2 0.3×	1 0.3×	2 0.7×		1 0.5×	2	6
Beverly Owens Brazil	2	2 0.3×					3	2
H. Jabran Zahid Pakistan	3	2 0.3×	1 0.3×		1 0.5×		3	7
Kamal Ndousse United States	1	2 0.3×		1 0.3×		1 0.5×	2	4
Peter-Paul M. Willemse Netherlands	1		2 0.5×	2 0.7×			2	2

Countries citing papers authored by Will Hawkins

Since Specialization

Citations

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

Fields of papers citing papers by Will Hawkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Will Hawkins

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

All Works

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2 of 2 papers shown

1.

Hawkins, Will, Brent Mittelstadt, & Chris Russell. (2025). Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators. 1602–1614.

2.

Hawkins, Will & Brent Mittelstadt. (2023). The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices. arXiv (Cornell University). 261–270. 9 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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