Matthew Kay

5.0k total citations · 1 hit paper
103 papers, 2.6k citations indexed

About

Matthew Kay is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Matthew Kay has authored 103 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 26 papers in Electrical and Electronic Engineering and 19 papers in Artificial Intelligence. Recurrent topics in Matthew Kay's work include Data Visualization and Analytics (32 papers), Radiation Effects in Electronics (17 papers) and Innovative Human-Technology Interaction (14 papers). Matthew Kay is often cited by papers focused on Data Visualization and Analytics (32 papers), Radiation Effects in Electronics (17 papers) and Innovative Human-Technology Interaction (14 papers). Matthew Kay collaborates with scholars based in United States, Canada and United Kingdom. Matthew Kay's co-authors include Sean A. Munson, Julie A. Kientz, Jessica Hullman, Eun Kyoung Choe, Cynthia Matuszek, Nathaniel F. Watson, Alex Kale, Matthew J. Gadlage, Adam R. Duncan and Michael Terry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PEDIATRICS.

In The Last Decade

Matthew Kay

100 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

2015 253 citations Matthew Kay et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Kay United States	26	713	502	480	366	361	103	2.6k
Russell Beale United Kingdom	24	395 0.6×	746 1.5×	673 1.4×	188 0.5×	137 0.4×	102	2.8k
Veljko Pejović Slovenia	20	329 0.5×	338 0.7×	120 0.3×	178 0.5×	326 0.9×	65	1.7k
Joseph Jay Williams United States	26	510 0.7×	115 0.2×	1.3k 2.6×	380 1.0×	141 0.4×	146	4.1k
Bruno Lepri Italy	35	532 0.7×	135 0.3×	848 1.8×	456 1.2×	285 0.8×	149	4.0k
Matt Jones United Kingdom	31	468 0.7×	1.3k 2.7×	369 0.8×	191 0.5×	192 0.5×	199	3.6k
James J. Clark United States	35	1.7k 2.4×	394 0.8×	523 1.1×	606 1.7×	188 0.5×	229	6.4k
Matthew Chalmers United Kingdom	30	1.1k 1.5×	1.7k 3.3×	414 0.9×	77 0.2×	298 0.8×	114	3.5k
Fabio Pianesi Italy	26	319 0.4×	228 0.5×	555 1.2×	431 1.2×	66 0.2×	84	2.1k
Shlomo Berkovsky Australia	32	510 0.7×	398 0.8×	1.1k 2.3×	131 0.4×	81 0.2×	169	3.5k
Anna L. Cox United Kingdom	41	620 0.9×	1.9k 3.8×	517 1.1×	527 1.4×	313 0.9×	301	7.9k

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-authorship network of co-authors of Matthew Kay

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Roberts, Angela, et al.. (2024). Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal Agitation. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–26. 3 indexed citations

2.

Joshi, Alark, Alvitta Ottley, Benjamin Bach, et al.. (2024). Toward a More Comprehensive Understanding of Visualization Literacy. 1–7. 5 indexed citations

3.

Kay, Matthew, et al.. (2024). What University Students Learn In Visualization Classes. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1072–1082. 3 indexed citations

4.

Long, Sheng & Matthew Kay. (2024). To Cut or Not To Cut? A Systematic Exploration of Y-Axis Truncation. 1–12. 1 indexed citations

5.

Harrison, Lane, et al.. (2024). Promises and Pitfalls: Using Large Language Models to Generate Visualization Items. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1094–1104. 6 indexed citations

6.

Besançon, Lonni, et al.. (2023). The Journal of Visualization and Interaction. VBN Forskningsportal (Aalborg Universitet). 1. 1 indexed citations

7.

Kay, Matthew, et al.. (2023). How Data Analysts Use a Visualization Grammar in Practice. 1–22. 5 indexed citations

8.

Yang, Fumeng, et al.. (2023). Adaptive Assessment of Visualization Literacy. IEEE Transactions on Visualization and Computer Graphics. 30(1). 628–637. 12 indexed citations

9.

Lee, Joyce M., et al.. (2023). “It can bring you in the right direction”: Episode-Driven Data Narratives to Help Patients Navigate Multidimensional Diabetes Data to Make Care Decisions. 1–16. 7 indexed citations

10.

Kay, Matthew. (2023). ggdist: Visualizations of Distributions and Uncertainty in the Grammar of Graphics. IEEE Transactions on Visualization and Computer Graphics. 30(1). 1–11. 44 indexed citations

11.

Padilla, Lace, et al.. (2021). Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making With Uncertainty Visualizations. Frontiers in Psychology. 11. 579267–579267. 35 indexed citations

12.

Kale, Alex, Matthew Kay, & Jessica Hullman. (2020). Visual Reasoning Strategies and Satisficing: How Uncertainty Visualization Design Impacts Effect Size Judgments and Decisions.. arXiv (Cornell University). 1 indexed citations

13.

Kale, Alex, et al.. (2018). Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data. IEEE Transactions on Visualization and Computer Graphics. 25(1). 892–902. 68 indexed citations

14.

Gadlage, Matthew J., et al.. (2018). Directional Dependence of Co-60 Irradiation on the Total Dose Response of Flash Memories. IEEE Transactions on Nuclear Science. 66(1). 148–154. 12 indexed citations

15.

Murnane, Elizabeth L., Saeed Abdullah, Mark Matthews, et al.. (2016). Mobile manifestations of alertness. PubMed. 2016. 465–477. 43 indexed citations

16.

Kientz, Julie A., et al.. (2015). Consumer Sleep Technologies: A Review of the Landscape. Journal of Clinical Sleep Medicine. 11(12). 1455–1461. 151 indexed citations

17.

Matthews, Mark, Erin A. Carroll, Saeed Abdullah, et al.. (2014). Biological rhythms and technology. 123–126. 4 indexed citations

18.

Froehlich, Jon E., Matthew Kay, Jakob Eg Larsen, & Edison Thomaz. (2014). Disasters in personal informatics. 673–678. 4 indexed citations

19.

Kay, Matthew, Kyle Rector, Sunny Consolvo, et al.. (2013). PVT-Touch: Adapting a Reaction Time Test for Touchscreen Devices. 43 indexed citations

20.

Kay, Matthew. (2013). Maharashtra to train rural health workers to improve access to mental health services. BMJ. 346(mar12 2). f1645–f1645. 1 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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