Stephen Palmisano

4.3k total citations
136 papers, 3.2k citations indexed

About

Stephen Palmisano is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Media Technology. According to data from OpenAlex, Stephen Palmisano has authored 136 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Cognitive Neuroscience, 65 papers in Human-Computer Interaction and 34 papers in Media Technology. Recurrent topics in Stephen Palmisano's work include Visual perception and processing mechanisms (98 papers), Virtual Reality Applications and Impacts (62 papers) and Advanced Optical Imaging Technologies (34 papers). Stephen Palmisano is often cited by papers focused on Visual perception and processing mechanisms (98 papers), Virtual Reality Applications and Impacts (62 papers) and Advanced Optical Imaging Technologies (34 papers). Stephen Palmisano collaborates with scholars based in Australia, Canada and Japan. Stephen Palmisano's co-authors include Juno Kim, Robert S. Allison, Frederick Bonato, Barbara Gillam, Andrea Bubka, Deborah Apthorp, Takeharu Seno, Robert J. Barry, Mark M. Schira and Amy Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Stephen Palmisano

133 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Palmisano Australia 32 2.1k 1.9k 666 604 442 136 3.2k
J.E. Bos Netherlands 33 1.3k 0.6× 1.6k 0.8× 346 0.5× 929 1.5× 195 0.4× 126 3.4k
Simon K. Rushton United Kingdom 22 1.5k 0.7× 602 0.3× 287 0.4× 304 0.5× 356 0.8× 74 2.3k
John P. Wann United Kingdom 40 2.6k 1.2× 789 0.4× 256 0.4× 1.0k 1.7× 394 0.9× 114 4.4k
Juno Kim Australia 24 1.2k 0.6× 559 0.3× 255 0.4× 443 0.7× 301 0.7× 108 2.3k
Michael G. Lilienthal United States 11 1.2k 0.6× 2.8k 1.5× 568 0.9× 1.2k 2.1× 736 1.7× 19 4.3k
Behrang Keshavarz Canada 24 954 0.5× 1.4k 0.8× 394 0.6× 501 0.8× 235 0.5× 65 2.1k
John J. Rieser United States 34 2.3k 1.1× 1.2k 0.7× 152 0.2× 647 1.1× 470 1.1× 86 4.2k
Thomas A. Furness United States 25 899 0.4× 1.7k 0.9× 394 0.6× 494 0.8× 565 1.3× 62 3.0k
Boris M. Velichkovsky Germany 31 1.9k 0.9× 1.1k 0.6× 103 0.2× 673 1.1× 668 1.5× 121 3.3k
Casper J. Erkelens Netherlands 36 3.7k 1.7× 603 0.3× 140 0.2× 473 0.8× 572 1.3× 100 4.5k

Countries citing papers authored by Stephen Palmisano

Since Specialization
Citations

This map shows the geographic impact of Stephen Palmisano'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 Stephen Palmisano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Palmisano more than expected).

Fields of papers citing papers by Stephen Palmisano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Palmisano. 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 Stephen Palmisano. The network helps show where Stephen Palmisano may publish in the future.

Co-authorship network of co-authors of Stephen Palmisano

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Palmisano. A scholar is included among the top collaborators of Stephen Palmisano 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 Stephen Palmisano. Stephen Palmisano 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.
Palmisano, Stephen, et al.. (2025). “Differences in Virtual and Physical Head Pose” Predict Cybersickness When Naturalistic Head-Movements are Made in VR. International Journal of Human-Computer Interaction. 41(24). 15654–15667.
2.
Palmisano, Stephen, et al.. (2025). Nonlinear analysis of the effects of vision and postural threat on upright stance. Gait & Posture. 122. 123–129.
3.
Miellet, Sébastien, et al.. (2024). Investigating the Relative Contributions of Unexpected Vection and Postural Instability to VR Cybersickness. International Journal of Human-Computer Interaction. 1–17. 2 indexed citations
4.
Miellet, Sébastien, et al.. (2024). Effects of vection type and postural instability on cybersickness. Virtual Reality. 28(2). 5 indexed citations
5.
Palmisano, Stephen, et al.. (2022). Differences in virtual and physical head orientation predict sickness during active head-mounted display-based virtual reality. Virtual Reality. 27(2). 1293–1313. 20 indexed citations
6.
Palmisano, Stephen, et al.. (2018). Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality. Displays. 58. 3–11. 102 indexed citations
7.
Favelle, Simone & Stephen Palmisano. (2018). View specific generalisation effects in face recognition: Front and yaw comparison views are better than pitch. PLoS ONE. 13(12). e0209927–e0209927. 6 indexed citations
8.
Palmisano, Stephen, et al.. (2017). Predicting vection and visually induced motion sickness based on spontaneous postural activity. Experimental Brain Research. 236(1). 315–329. 49 indexed citations
9.
Palmisano, Stephen, Robert J. Barry, Frances M. De Blasio, & Jack S. Fogarty. (2016). Identifying Objective EEG Based Markers of Linear Vection in Depth. Frontiers in Psychology. 7. 1205–1205. 24 indexed citations
10.
Nakamura, Shinji, Stephen Palmisano, & Juno Kim. (2016). Relative Visual Oscillation Can Facilitate Visually Induced Self-Motion Perception. i-Perception. 7(4). 977933455–977933455. 11 indexed citations
11.
Wardle, Susan G., Stephen Palmisano, & Barbara Gillam. (2014). Monocular and binocular edges enhance the perception of stereoscopic slant. Vision Research. 100. 113–123. 3 indexed citations
12.
Palmisano, Stephen, Deborah Apthorp, Takeharu Seno, & Paul J. Stapley. (2014). Spontaneous postural sway predicts the strength of smooth vection. Experimental Brain Research. 232(4). 1185–1191. 32 indexed citations
13.
Palmisano, Stephen, Juno Kim, & Tom C. A. Freeman. (2012). Horizontal fixation point oscillation and simulated viewpoint oscillation both increase vection in depth. Journal of Vision. 12(9). 196–196. 3 indexed citations
14.
Palmisano, Stephen, Juno Kim, & Tom C. A. Freeman. (2012). Horizontal fixation point oscillation and simulated viewpoint oscillation both increase vection in depth. Journal of Vision. 12(12). 15–15. 30 indexed citations
15.
Favelle, Simone & Stephen Palmisano. (2010). The time course of configural change detection for novel 3-D objects. Attention Perception & Psychophysics. 72(4). 999–1012. 1 indexed citations
16.
Palmisano, Stephen, et al.. (2010). Eccentric gaze dynamics enhance vection in depth. Journal of Vision. 10(12). 7–7. 27 indexed citations
17.
Palmisano, Stephen, et al.. (2009). Visually mediated eye movements regulate the capture of optic flow in self-motion perception. Experimental Brain Research. 202(2). 355–361. 26 indexed citations
18.
Palmisano, Stephen, et al.. (2007). Vertical Display Oscillation Effects on Forward Vection and Simulator Sickness. Aviation Space and Environmental Medicine. 78(10). 951–956. 51 indexed citations
19.
Palmisano, Stephen, Robert S. Allison, & Ian P. Howard. (2006). Illusory scene distortion occurs during perceived self-rotation in roll. Vision Research. 46(23). 4048–4058. 13 indexed citations
20.
Palmisano, Stephen, Barbara Gillam, & Philip M. Grove. (2003). Accuracy of aimpoint detection during passive landing. Australian Journal of Psychology. 55. 88–88. 1 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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