Makayla Lewis
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Sociology and Political Science
- Computer Science Applications
- Co-authors
- Miriam SturdeeNicolai MarquardtMark PerryLizzie Coles-KempThuong HoangAwais RashidEmil LupuGeorge Danezis
- Topics
- Innovative Human-Technology Interaction (26 papers)Interactive and Immersive Displays (15 papers)Persona Design and Applications (5 papers)
- Cited by
- Human-Computer InteractionComputer Science ApplicationsComputer Vision and Pattern Recognition
- 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 Vision and Pattern Recognition 57
- Information Systems 50
- Sociology and Political Science 34
- Computer Science Applications 21
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 of co-authors of Makayla Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of Makayla Lewis. A scholar is included among the top collaborators of Makayla Lewis 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 Makayla Lewis. Makayla Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 31 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 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) and Persona Design and Applications (5 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.