Greg Corness

670 citations
23 papers · 501 · h-index 10

Impact in

Papers in

Greg Corness

18 papers receiving 463 citations

Peers

Greg Corness
Comparison fields: 5 of 50
  • Human-Computer Interaction 305
  • General Arts and Humanities 20
  • Museology 53
  • Computer Vision and Pattern Recognition 97
  • Computer Science Applications 22
Replace Michael Tscholl with:
Michael Tscholl United States
Emily Kuzneski Johnson United States
Lisa Tolentino United States
Shigenori Inagaki Japan
Antti Pirhonen Finland
Karen Johanne Kortbek Denmark
Min Fan Canada
Adrian Hazzard United Kingdom
Xinhao Xu United States
Wei‐Chieh Fang Taiwan
Greg Corness relative to Michael Tscholl United States Michael Tscholl's profile →
Citations per field
00.5×1.5×
Michael Tscholl · 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 11 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008140
2 2008101
3 200952
4 200947
5 201331
6 200927
7 201127
8 201115
9 201914
10 201311
11 200810
12 20099
13 20095
14 20174
15
Kurio: A Museum Guide for Families
20093
16 20203
17 20081
18 20191
19 20080
20 20190

About Greg Corness

Greg Corness is a scholar working on Human-Computer Interaction, Visual Arts and Performing Arts, Museology, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 23 papers that have together received 501 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (9 papers), Interactive and Immersive Displays (8 papers), Music Technology and Sound Studies (6 papers), Art, Technology, and Culture (4 papers), Social Robot Interaction and HRI (3 papers), Museums and Cultural Heritage (3 papers), Virtual Reality Applications and Impacts (2 papers) and Sound Studies and Aurality (2 papers). The work is most often cited by research in Human-Computer Interaction (305 citations), General Arts and Humanities (20 citations), Museology (53 citations), Computer Vision and Pattern Recognition (97 citations) and Computer Science Applications (22 citations). Greg Corness has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Alissa N. Antle, Milena Droumeva, Thecla Schiphorst, Karen Tanenbaum, Marek Hatala, Ron Wakkary, Jim Budd, Saskia Bakker, Elise van den Hoven and Sarah Fdili Alaoui. Their work appears in journals such as International Journal of Arts and Technology, Leonardo Music Journal, Interacting with Computers, 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.

Explore authors with similar magnitude of impact