Martez E. Mott

791 citations
22 papers · 552 · h-index 13

Impact in

Papers in

    • Tactile and Sensory Interactions 17
    • Interactive and Immersive Displays 10
    • Virtual Reality Applications and Impacts 7
    • Hand Gesture Recognition Systems 4
    • Gaze Tracking and Assistive Technology 3

Martez E. Mott

20 papers receiving 543 citations

Peers

Martez E. Mott
Comparison fields: 5 of 64
  • Human-Computer Interaction 385
  • Human Factors and Ergonomics 69
  • Cognitive Neuroscience 321
  • Occupational Therapy 43
  • Computer Vision and Pattern Recognition 137
Replace Timothy Neate with:
Timothy Neate United Kingdom
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Cristina Manresa-Yee Spain
Abigale Stangl United States
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Paul Taele United States
Sayan Sarcar Japan
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Citations per field
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Citations per year

Countries citing papers authored by Martez E. Mott

Since Specialization
Citations

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

Fields of papers citing papers by Martez E. Mott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martez E. Mott. 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 Martez E. Mott. The network helps show where Martez E. Mott may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201790
2 201990
3 202073
4 201865
5 201654
6 202229
7 201427
8 201924
9 201818
10 202217
11 201816
12 202114
13 201212
14 20237
15 20135
16 20213
17 20233
18 20252
19 20172
20 20251

About Martez E. Mott

Martez E. Mott is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Human Factors and Ergonomics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 552 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (17 papers), Interactive and Immersive Displays (10 papers), Virtual Reality Applications and Impacts (7 papers), Hand Gesture Recognition Systems (4 papers), Digital Accessibility for Disabilities (4 papers), Gaze Tracking and Assistive Technology (3 papers), Visual Attention and Saliency Detection (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Human-Computer Interaction (385 citations), Human Factors and Ergonomics (69 citations), Cognitive Neuroscience (321 citations), Occupational Therapy (43 citations) and Computer Vision and Pattern Recognition (137 citations). Martez E. Mott has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Meredith Ringel Morris, Jacob O. Wobbrock, Edward Cutrell, Shaun K. Kane, Shane Williams, Jane L. E, Eyal Ofek, Cynthia L. Bennett, John Tang and Sasa Junuzovic. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Computer-Human Interaction, ACM Transactions on Accessible Computing, CHI Conference on Human Factors in Computing Systems and Lirias (KU Leuven).

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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