Joshua Newn

856 total citations
39 papers, 584 citations indexed

About

Joshua Newn is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Joshua Newn has authored 39 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Human-Computer Interaction, 16 papers in Cognitive Neuroscience and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Joshua Newn's work include Gaze Tracking and Assistive Technology (24 papers), Tactile and Sensory Interactions (10 papers) and Interactive and Immersive Displays (9 papers). Joshua Newn is often cited by papers focused on Gaze Tracking and Assistive Technology (24 papers), Tactile and Sensory Interactions (10 papers) and Interactive and Immersive Displays (9 papers). Joshua Newn collaborates with scholars based in Australia, United Kingdom and Canada. Joshua Newn's co-authors include Eduardo Velloso, Frank Vetere, Marcus Carter, Hans Gellersen, Jorge Gonçalves, Qiushi Zhou, Difeng Yu, Yomna Abdelrahman, Namrata Srivastava and Tilman Dingler and has published in prestigious journals such as Artificial Intelligence, Journal of Medical Internet Research and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Joshua Newn

39 papers receiving 573 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joshua Newn Australia 14 374 197 169 96 65 39 584
Aske Mottelson Denmark 17 492 1.3× 157 0.8× 159 0.9× 115 1.2× 34 0.5× 23 711
Difeng Yu Australia 17 639 1.7× 275 1.4× 327 1.9× 68 0.7× 26 0.4× 38 772
Daniela Trevisan Brazil 15 238 0.6× 71 0.4× 178 1.1× 36 0.4× 21 0.3× 75 666
Alexa Siu United States 15 335 0.9× 375 1.9× 155 0.9× 20 0.2× 50 0.8× 34 657
Mark Roman Miller United States 9 411 1.1× 191 1.0× 164 1.0× 155 1.6× 45 0.7× 22 680
Tanja Döring Germany 16 506 1.4× 223 1.1× 174 1.0× 105 1.1× 26 0.4× 50 671
Joanne Leong United States 12 293 0.8× 178 0.9× 89 0.5× 44 0.5× 73 1.1× 28 606
Jane L. E United States 10 239 0.6× 140 0.7× 191 1.1× 164 1.7× 67 1.0× 19 549
Ahmed Farooq Finland 9 145 0.4× 139 0.7× 42 0.2× 118 1.2× 23 0.4× 44 399
Nahal Norouzi United States 16 423 1.1× 103 0.5× 259 1.5× 188 2.0× 86 1.3× 31 641

Countries citing papers authored by Joshua Newn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Newn, Joshua, et al.. (2024). GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free Pointing. Proceedings of the ACM on Human-Computer Interaction. 8(ETRA). 1–20. 6 indexed citations
2.
Chiossi, Francesco, et al.. (2024). Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features. Proceedings of the ACM on Human-Computer Interaction. 8(MHCI). 1–33. 4 indexed citations
3.
Newn, Joshua & Madison Klarkowski. (2023). Biofeedback-Driven Multiplayer Games: Leveraging Social Awareness and Physiological Signals for Play. 212–215. 1 indexed citations
4.
Sidenmark, Ludwig, et al.. (2023). Speech-Augmented Cone-of-Vision for Exploratory Data Analysis. 1–18. 7 indexed citations
5.
Sidenmark, Ludwig, et al.. (2023). Comparing Gaze, Head and Controller Selection of Dynamically Revealed Targets in Head-Mounted Displays. IEEE Transactions on Visualization and Computer Graphics. 29(11). 4740–4750. 12 indexed citations
6.
Newn, Joshua, Ryan Kelly, Simon D’Alfonso, & Reeva Lederman. (2022). Examining and Promoting Explainable Recommendations for Personal Sensing Technology Acceptance. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 6(3). 1–27. 6 indexed citations
7.
Wang, Chaofan, Weiwei Jiang, Kangning Yang, et al.. (2021). Electronic Monitoring Systems for Hand Hygiene: Systematic Review of Technology. Journal of Medical Internet Research. 23(11). e27880–e27880. 33 indexed citations
8.
Srivastava, Namrata, Joshua Newn, Jason M. Lodge, et al.. (2021). Are you with me? Measurement of Learners’ Video-Watching Attention with Eye Tracking. 88–98. 13 indexed citations
9.
Newn, Joshua, et al.. (2019). Frame Analysis of Voice Interaction Gameplay. Minerva Access (University of Melbourne). 1–14. 8 indexed citations
10.
Wouters, Niels, Ryan Kelly, Eduardo Velloso, et al.. (2019). Biometric Mirror. Minerva Access (University of Melbourne). 447–461. 17 indexed citations
11.
Newn, Joshua, et al.. (2019). Combining implicit gaze and AI for real-time intention projection. 324–327. 2 indexed citations
12.
Zhou, Qiushi, Joshua Newn, Namrata Srivastava, et al.. (2019). Cognitive Aid. 1–6. 6 indexed citations
13.
Miller, Tim, et al.. (2018). Combining Planning with Gaze for Online Human Intention Recognition. Adaptive Agents and Multi-Agents Systems. 1. 488–496. 13 indexed citations
14.
Newn, Joshua. (2018). Enabling Intent Recognition Through Gaze Awareness in User Interfaces. 1–4. 1 indexed citations
15.
Madumal, Prashan, et al.. (2018). Interaction design for explainable AI. 607–608. 4 indexed citations
16.
Lankes, Michael, et al.. (2018). EyePlay Revisited. 689–693. 8 indexed citations
17.
Srivastava, Namrata, Joshua Newn, & Eduardo Velloso. (2018). Combining Low and Mid-Level Gaze Features for Desktop Activity Recognition. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 2(4). 1–27. 25 indexed citations
18.
Velloso, Eduardo, Marcus Carter, Joshua Newn, et al.. (2017). Motion Correlation. ACM Transactions on Computer-Human Interaction. 24(3). 1–35. 61 indexed citations
19.
Newn, Joshua, et al.. (2017). Evaluating Real-Time Gaze Representations to Infer Intentions in Competitive Turn-Based Strategy Games. Minerva Access (University of Melbourne). 541–552. 50 indexed citations
20.
Newn, Joshua, Eduardo Velloso, Marcus Carter, & Frank Vetere. (2016). Multimodal Segmentation on a Large Interactive Tabletop. Minerva Access (University of Melbourne). 251–260. 6 indexed citations

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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