Robert S. Allison

5.3k citations
232 papers · 3.8k · h-index 33

Impact in

Papers in

Robert S. Allison

212 papers receiving 3.6k citations

Peers

Robert S. Allison
Comparison fields: 5 of 175
  • Human-Computer Interaction 1.1k
  • Cognitive Neuroscience 1.8k
  • Media Technology 602
  • Computer Vision and Pattern Recognition 761
  • Neurology 209
Replace Juno Kim with:
Juno Kim Australia
Elena De Momi Italy
Dimitris Metaxas United States
Giancarlo Ferrigno Italy
T.F. Cootes United Kingdom
Linlin Shen China
Eli Peli United States
Robert V. Kenyon United States
A. Terry Bahill United States
John P. Wann United Kingdom
Robert S. Allison relative to Juno Kim Australia Juno Kim's profile →
Citations per field
00.5×2.5×
Juno Kim · 1×
Citations per year

Countries citing papers authored by Robert S. Allison

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Allison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Allison. 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 Robert S. Allison. The network helps show where Robert S. Allison may publish in the future.

Co-authors

The 25 scholars most cited alongside Robert S. Allison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert S. Allison Line = papers co-authored together Robert S. Allison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016203
2 2015164
3 2002126
4
Hair Loss: Common Causes and Treatment.
201798
5 200889
6 200688
7 199987
8 201286
9 201177
10 200977
11 200873
12 201072
13 202071
14 198968
15 200964
16 199662
17 201158
18 200257
19 200855
20 200354

About Robert S. Allison

Robert S. Allison is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Media Technology and Epidemiology, having authored 232 papers that have together received 3.8k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (129 papers), Virtual Reality Applications and Impacts (53 papers), Advanced Optical Imaging Technologies (48 papers), Advanced Vision and Imaging (27 papers), Ophthalmology and Visual Impairment Studies (24 papers), Tactile and Sensory Interactions (22 papers), Image and Video Quality Assessment (18 papers) and Vestibular and auditory disorders (18 papers). The work is most often cited by research in Human-Computer Interaction (1.1k citations), Cognitive Neuroscience (1.8k citations), Media Technology (602 citations), Computer Vision and Pattern Recognition (761 citations) and Neurology (209 citations). Robert S. Allison has collaborated with scholars based in Canada, Australia and United Kingdom. Frequent co-authors include Stephen Palmisano, Laurie M. Wilcox, James E. Zacher, I. P. Howard, Sion Jennings, Ian P. Howard, John Millar, Inna Tsirlin, Michael Jenkin and Joshua M. Johnston. Their work appears in journals such as Journal of Vision, Vision Research, ACM Transactions on Applied Perception, Perception and Virtual Reality.

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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