Makayla Lewis
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction 26
- Interactive and Immersive Displays 15
- Persona Design and Applications 5
- Usability and User Interface Design 5
- Virtual Reality Applications and Impacts 3
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- Augmented Reality Applications 5
- Data Visualization and Analytics 4
- Information Systems top 10%
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- Technology Use by Older Adults 3
- Co-authors
- Miriam SturdeeNicolai MarquardtMark PerryLizzie Coles-KempThuong HoangAwais RashidEmil LupuGeorge Danezis
- Cited by
- Human-Computer InteractionComputer Science ApplicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Security & Privacy (1 paper)interactions (2 papers)Frontiers in Computer Science (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Makayla Lewis
32 papers receiving 285 citations
Peers
Comparison fields: 5 of 57
- Human-Computer Interaction 189
- Computer Science Applications 21
- Computer Vision and Pattern Recognition 57
- Information Systems 50
- Health Informatics 3
Countries citing papers authored by Makayla Lewis
This map shows the geographic impact of Makayla Lewis'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 Makayla Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Makayla Lewis more than expected).
Fields of papers citing papers by Makayla Lewis
This network shows the impact of papers produced by Makayla Lewis. 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 Makayla Lewis. The network helps show where Makayla Lewis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Makayla Lewis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 8 | |
| 17 | 2019 | 31 | |
| 18 | 2019 | 12 | |
| 19 | 2018 | 16 | |
| 20 | 2018 | 20 |
About Makayla Lewis
Makayla Lewis is a scholar working on Human-Computer Interaction, Health Informatics and Visual Arts and Performing Arts, having authored 35 papers that have together received 290 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (26 papers), Interactive and Immersive Displays (15 papers), Persona Design and Applications (5 papers), Augmented Reality Applications (5 papers), Usability and User Interface Design (5 papers), Data Visualization and Analytics (4 papers), Virtual Reality Applications and Impacts (3 papers) and Technology Use by Older Adults (3 papers). The work is most often cited by research in Human-Computer Interaction (189 citations), Computer Science Applications (21 citations) and Computer Vision and Pattern Recognition (57 citations). Makayla Lewis has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Miriam Sturdee, Nicolai Marquardt, Mark Perry, Lizzie Coles-Kemp, Thuong Hoang, Awais Rashid, Emil Lupu, George Danezis, Howard Chivers and Claudia Peersman. Their work appears in journals such as IEEE Security & Privacy, interactions and Frontiers in Computer Science.
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.