Jaye Nias
Impact in
- Human-Computer Interaction top 2%
- Interactive and Immersive Displays
- Usability and User Interface Design
- Innovative Human-Technology Interaction
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- Teaching and Learning Programming
Papers in
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- Interactive and Immersive Displays 5
- Usability and User Interface Design 5
- Innovative Human-Technology Interaction 4
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- Teaching and Learning Programming 7
- Co-authors
- Lisa Anthony (6 shared papers)Quincy Brown (6 shared papers)Robin Brewer (3 shared papers)Bryan Dosono (1 shared paper)Daniel K. Gardner (1 shared paper)Jakita O. Thomas (1 shared paper)Audrey Bennett (1 shared paper)Yolanda A. Rankin (1 shared paper)
- Journals
- International Journal of Child-Computer Interaction (1 paper)interactions (1 paper)Personal and Ubiquitous Computing (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Jaye Nias
18 papers receiving 293 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 159
- Computer Science Applications 59
- Developmental and Educational Psychology 74
- Cognitive Neuroscience 80
- Education 108
Countries citing papers authored by Jaye Nias
This map shows the geographic impact of Jaye Nias'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 Jaye Nias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaye Nias more than expected).
Fields of papers citing papers by Jaye Nias
This network shows the impact of papers produced by Jaye Nias. 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 Jaye Nias. The network helps show where Jaye Nias may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaye Nias, 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 | 2012 | 102 | |
| 2 | 2013 | 79 | |
| 3 | 2013 | 50 | |
| 4 | 2013 | 29 | |
| 5 | 2015 | 11 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 6 | |
| 8 | 2020 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2015 | 3 | |
| 11 | 2017 | 2 | |
| 12 | Challenges of Replicating Empirical Studies with Children in HCI. | 2013 | 2 |
| 13 | 2015 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Jaye Nias
Jaye Nias is a scholar working on Human-Computer Interaction, Computer Science Applications, Sociology and Political Science, Cognitive Neuroscience and Education, having authored 20 papers that have together received 309 indexed citations. Recurring topics across this work include Teaching and Learning Programming (7 papers), Interactive and Immersive Displays (5 papers), Usability and User Interface Design (5 papers), Tactile and Sensory Interactions (4 papers), Innovative Human-Technology Interaction (4 papers), Educational Games and Gamification (2 papers), AI in Service Interactions (2 papers) and Child Development and Digital Technology (2 papers). The work is most often cited by research in Human-Computer Interaction (159 citations), Computer Science Applications (59 citations), Developmental and Educational Psychology (74 citations), Cognitive Neuroscience (80 citations) and Education (108 citations). Jaye Nias has collaborated with scholars based in United States and India. Frequent co-authors include Lisa Anthony, Quincy Brown, Robin Brewer, Bryan Dosono, Daniel K. Gardner, Jakita O. Thomas, Audrey Bennett, Yolanda A. Rankin, Ian Arawjo and Ihudiya Finda Ogbonnaya-Ogburu. Their work appears in journals such as International Journal of Child-Computer Interaction, interactions and Personal and Ubiquitous Computing.
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.