Joshua Newn
- Human-Computer Interaction top 1%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Social Psychology top 10%
- Artificial Intelligence
- Co-authors
- Eduardo VellosoFrank VetereMarcus CarterHans GellersenJorge GonçalvesQiushi ZhouDifeng YuYomna Abdelrahman
- Topics
- Gaze Tracking and Assistive Technology (24 papers)Tactile and Sensory Interactions (10 papers)Interactive and Immersive Displays (9 papers)
- Journals
- Artificial IntelligenceJournal of Medical Internet ResearchIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Joshua Newn
39 papers receiving 573 citations
Peers
Comparison fields: 5 of 90
- Human-Computer Interaction 374
- Cognitive Neuroscience 197
- Computer Vision and Pattern Recognition 169
- Social Psychology 96
- Artificial Intelligence 65
Countries citing papers authored by Joshua Newn
This map shows the geographic impact of Joshua Newn'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 Joshua Newn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Newn more than expected).
Fields of papers citing papers by Joshua Newn
This network shows the impact of papers produced by Joshua Newn. 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 Joshua Newn. The network helps show where Joshua Newn may publish in the future.
Co-authorship network of co-authors of Joshua Newn
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Newn. A scholar is included among the top collaborators of Joshua Newn 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 Joshua Newn. Joshua Newn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 33 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 17 | |
| 11 | 38 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 8 | |
| 17 | 25 | |
| 18 | 50 | |
| 19 | 61 | |
| 20 | 6 |
About Joshua Newn
Joshua Newn is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 584 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (24 papers), Tactile and Sensory Interactions (10 papers) and Interactive and Immersive Displays (9 papers). The work is most often cited by research in Human-Computer Interaction (374 citations), Cognitive Neuroscience (197 citations) and Computer Vision and Pattern Recognition (169 citations). Joshua Newn has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include Eduardo Velloso, Frank Vetere, Marcus Carter, Hans Gellersen, Jorge Gonçalves, Qiushi Zhou, Difeng Yu, Yomna Abdelrahman, Namrata Srivastava and Tilman Dingler. Their work appears in journals such as Artificial Intelligence, Journal of Medical Internet Research and IEEE Transactions on Visualization and Computer Graphics.
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.