Greg Corness

656 citations
24 papers · 484 · h-index 10

Impact in

Papers in

Greg Corness

19 papers receiving 450 citations

Peers

Greg Corness
Comparison fields: 5 of 61
  • Human-Computer Interaction 294
  • Museology 32
  • Developmental and Educational Psychology 88
  • Cognitive Neuroscience 127
  • Experimental and Cognitive Psychology 87
Replace Milena Droumeva with:
Milena Droumeva Canada
Michael Tscholl United States
Pedro Branco Portugal
Emily Johnson United States
Maria Christofi Cyprus
Jinsil Hwaryoung Seo United States
Patrick Brundell United Kingdom
Cati Vaucelle United States
Erin A. Carroll United States
Daniel Harley Canada
Greg Corness relative to Milena Droumeva Canada Milena Droumeva's profile →
Citations per field
00.5×1.5×2.3×
Milena Droumeva · 1×
Citations per year

Countries citing papers authored by Greg Corness

Since Specialization
Citations

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

Fields of papers citing papers by Greg Corness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Greg Corness, 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 Greg Corness Line = papers co-authored together Greg Corness links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 2008100
3 200950
4 200947
5 201329
6 201127
7 200925
8 201113
9 201911
10 201311
11 20089
12 20098
13 20146
14 20095
15 20174
16 20203
17 20081
18 20071
19 20191
20 20240

About Greg Corness

Greg Corness is a scholar working on Human-Computer Interaction, Social Psychology, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 24 papers that have together received 484 indexed citations. Recurring topics across this work include Action Observation and Synchronization (12 papers), Innovative Human-Technology Interaction (10 papers), Music Technology and Sound Studies (7 papers), Language, Metaphor, and Cognition (5 papers), Virtual Reality Applications and Impacts (4 papers), Interactive and Immersive Displays (3 papers), Tactile and Sensory Interactions (3 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Human-Computer Interaction (294 citations), Museology (32 citations), Developmental and Educational Psychology (88 citations), Cognitive Neuroscience (127 citations) and Experimental and Cognitive Psychology (87 citations). Greg Corness has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Alissa N. Antle, Milena Droumeva, Thecla Schiphorst, Ron Wakkary, Karen Tanenbaum, Jim Budd, Marek Hatala, Saskia Bakker, Elise van den Hoven and Sarah Fdili Alaoui. Their work appears in journals such as International Journal of Arts and Technology, Interacting with Computers, Leonardo Music Journal, PRESENCE Virtual and Augmented Reality and Lecture notes in computer science.

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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