Matthew Kay

103 papers receiving 2.7k citations

Matthew Kay's Hit Papers

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations 2015 · 268 citations
2680+3+7Years since publication50100150200250

Peers

Matthew Kay
Comparison fields: 5 of 161
  • Human-Computer Interaction 513
  • Applied Psychology 222
  • General Decision Sciences 75
  • Computer Vision and Pattern Recognition 754
  • Experimental and Cognitive Psychology 343
Replace Shlomo Berkovsky with:
Shlomo Berkovsky Australia
Vanessa Evers Netherlands
Matt Jones United Kingdom
Joseph Jay Williams United States
Krzysztof Z. Gajos United States
Jessica Hullman United States
Alasdair D. F. Clarke United Kingdom
J. Gregory Trafton United States
Anna L. Cox United Kingdom
Bruno Lepri Italy
Matthew Kay relative to Shlomo Berkovsky Australia Shlomo Berkovsky's profile →
Citations per field
00.5×3.0×
Shlomo Berkovsky · 1×
Citations per year

Countries citing papers authored by Matthew Kay

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthew Kay, 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 Matthew Kay Line = papers co-authored together Matthew Kay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
Hit paper breakdown →
2015268
2 2012176
3 2016159
4 2015154
5 2017140
6 2015136
7 2018110
8 2018102
9 201676
10 201873
11 201571
12 201767
13 201665
14 201659
15 202055
16 202354
17 201550
18 201644
19 201343
20 201341

About Matthew Kay

Matthew Kay is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Human-Computer Interaction and Experimental and Cognitive Psychology, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (33 papers), Radiation Effects in Electronics (17 papers), Innovative Human-Technology Interaction (14 papers), Semiconductor materials and devices (13 papers), Data Analysis with R (12 papers), Advanced Memory and Neural Computing (9 papers), Mobile Health and mHealth Applications (7 papers) and Green IT and Sustainability (6 papers). The work is most often cited by research in Human-Computer Interaction (513 citations), Applied Psychology (222 citations), General Decision Sciences (75 citations), Computer Vision and Pattern Recognition (754 citations) and Experimental and Cognitive Psychology (343 citations). Matthew Kay has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sean A. Munson, Julie A. Kientz, Jessica Hullman, Cynthia Matuszek, Eun Kyoung Choe, Nathaniel F. Watson, Alex Kale, Matthew J. Gadlage, Michael Terry and Adam R. Duncan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Nuclear Science, IEEE Transactions on Device and Materials Reliability, Proceedings of the National Academy of Sciences and Gait & Posture.

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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