Luke Stark

3.7k citations
40 papers · 2.1k indexed · 3 hit papers · h-index 18

Luke Stark

39 papers receiving 1.9k citations

Hit Papers

Co-Designing Checklists to Understand Organizational...2312016202620192022100200300400500

Peers

Luke Stark
Comparison fields: 5 of 110
  • Health Informatics 114
  • Safety Research 656
  • Human-Computer Interaction 260
  • Marketing 420
  • Computer Science Applications 127
Replace Haiyi Zhu with:
Haiyi Zhu United States
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Angèle Christin United States
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Asbjørn Følstad Norway
Stefano Puntoni United States
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Janet Vertesi United States
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Luke Stark relative to Haiyi Zhu United States Haiyi Zhu's profile →
Citations per field
00.5×3.0×
Haiyi Zhu · 1×
Citations per year

Countries citing papers authored by Luke Stark

Since Specialization
Citations

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

Fields of papers citing papers by Luke Stark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Luke Stark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luke Stark Line = papers co-authored together Luke Stark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20244
4 20241
5 20237
6 20237
7 202016
8 202042
9
Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AIbreakdown →
2020231
10 201934
11 201934
12 201980
13
Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learningbreakdown →
2019237
14 201833
15 2018104
16 201811
17 20182
18 20173
19 20127
20
Network Catalysts to Small Businesses: A Strategy for Fragmented Industries
20031

About Luke Stark

Luke Stark is a scholar working on Human-Computer Interaction, Safety Research, General Psychology, Health Informatics and Applied Psychology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (15 papers), Innovative Human-Technology Interaction (10 papers), Privacy, Security, and Data Protection (5 papers), Neuroethics, Human Enhancement, Biomedical Innovations (4 papers), Persona Design and Applications (3 papers), Digital Mental Health Interventions (3 papers), Emotions and Moral Behavior (3 papers) and Digital Economy and Work Transformation (3 papers). The work is most often cited by research in Health Informatics (114 citations), Safety Research (656 citations), Human-Computer Interaction (260 citations), Marketing (420 citations) and Computer Science Applications (127 citations). Luke Stark has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alex Rosenblat, Anna Lauren Hoffmann, Kate Crawford, Daniel Greene, Hanna Wallach, Jennifer Wortman Vaughan, Michael Madaio, Jesse Hoey, Denise Anthony and Karen Levy. Their work appears in journals such as Social Studies of Science, Journal of Small Business Strategy, American Literature, Social Media + Society and New Media & Society.

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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