Stephen Palmisano
Impact in
- Human-Computer Interaction top 0.05%
- Virtual Reality Applications and Impacts
- Cognitive Neuroscience top 0.5%
- Visual perception and processing mechanisms
- Tactile and Sensory Interactions
- Neural dynamics and brain function
Papers in
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- Visual perception and processing mechanisms 94
- Neural dynamics and brain function 15
- Tactile and Sensory Interactions 14
- Face Recognition and Perception 11
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- Virtual Reality Applications and Impacts 60
- Co-authors
- Juno Kim (28 shared papers)Robert S. Allison (34 shared papers)Frederick Bonato (8 shared papers)Barbara Gillam (9 shared papers)Andrea Bubka (6 shared papers)Deborah Apthorp (7 shared papers)Takeharu Seno (14 shared papers)Robert J. Barry (2 shared papers)
In The Last Decade
Stephen Palmisano
134 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 113
- Human-Computer Interaction 1.9k
- Cognitive Neuroscience 2.1k
- Media Technology 649
- Neurology 382
- Social Psychology 597
Countries citing papers authored by Stephen Palmisano
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
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-authors
The 25 scholars most cited alongside Stephen Palmisano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 168 | |
| 2 | 2016 | 134 | |
| 3 | 2019 | 124 | |
| 4 | 2018 | 102 | |
| 5 | 2008 | 86 | |
| 6 | 2000 | 85 | |
| 7 | 2019 | 81 | |
| 8 | 2009 | 80 | |
| 9 | 2020 | 80 | |
| 10 | 2004 | 79 | |
| 11 | 2011 | 77 | |
| 12 | 2010 | 74 | |
| 13 | 2020 | 74 | |
| 14 | 2020 | 72 | |
| 15 | 1996 | 67 | |
| 16 | 2015 | 64 | |
| 17 | 2020 | 62 | |
| 18 | 2002 | 57 | |
| 19 | 2008 | 55 | |
| 20 | 2003 | 54 |
About Stephen Palmisano
Stephen Palmisano is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Media Technology, Social Psychology and Neurology, having authored 138 papers that have together received 3.3k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (94 papers), Virtual Reality Applications and Impacts (60 papers), Advanced Optical Imaging Technologies (33 papers), Vestibular and auditory disorders (19 papers), Neural dynamics and brain function (15 papers), Tactile and Sensory Interactions (14 papers), Face Recognition and Perception (11 papers) and Action Observation and Synchronization (10 papers). The work is most often cited by research in Human-Computer Interaction (1.9k citations), Cognitive Neuroscience (2.1k citations), Media Technology (649 citations), Neurology (382 citations) and Social Psychology (597 citations). Stephen Palmisano has collaborated with scholars based in Australia, Canada and Japan. Frequent 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. Their work appears in journals such as Perception, Journal of Vision, Experimental Brain Research, Virtual Reality and Vision Research.
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.