Mark McGill

2.6k citations
98 papers · 1.9k · h-index 24

Impact in

Papers in

Mark McGill

92 papers receiving 1.9k citations

Peers

Mark McGill
Comparison fields: 5 of 88
  • Human-Computer Interaction 1.4k
  • Computer Vision and Pattern Recognition 705
  • Social Psychology 475
  • Cognitive Neuroscience 364
  • Media Technology 121
Replace Jan Gugenheimer with:
Jan Gugenheimer Germany
Maximino Bessa Portugal
Miguel Melo Portugal
Valentin Schwind Germany
Rolf Nordahl Denmark
Hideaki Kuzuoka Japan
Julie Williamson United Kingdom
Mohamed Khamis United Kingdom
Charles B. Owen United States
Pascal Knierim Germany
Mark McGill relative to Jan Gugenheimer Germany Jan Gugenheimer's profile →
Citations per field
00.5×1.5×
Jan Gugenheimer · 1×
Citations per year

Countries citing papers authored by Mark McGill

Since Specialization
Citations

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

Fields of papers citing papers by Mark McGill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark McGill, 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 Mark McGill Line = papers co-authored together Mark McGill links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015219
2 2017114
3 202085
4 201975
5 202272
6 202268
7 201964
8 201960
9 201855
10 202250
11 201646
12 202244
13 200942
14 202140
15 202036
16 202334
17 201934
18 201834
19 202130
20 202429

About Mark McGill

Mark McGill is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Sociology and Political Science, having authored 98 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (64 papers), Augmented Reality Applications (27 papers), Interactive and Immersive Displays (17 papers), Human-Automation Interaction and Safety (14 papers), Tactile and Sensory Interactions (14 papers), Advanced Optical Imaging Technologies (12 papers), Visual perception and processing mechanisms (11 papers) and Usability and User Interface Design (6 papers). The work is most often cited by research in Human-Computer Interaction (1.4k citations), Computer Vision and Pattern Recognition (705 citations), Social Psychology (475 citations), Cognitive Neuroscience (364 citations) and Media Technology (121 citations). Mark McGill has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Stephen Brewster, Julie Williamson, Mohamed Khamis, Alexander Ng, Roderick Murray‐Smith, Daniel Boland, Graham Wilson, Joseph O’Hagan, Jan Gugenheimer and Daniel Medeiros. Their work appears in journals such as ACM Transactions on Computer-Human Interaction, IEEE Transactions on Visualization and Computer Graphics, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Personal and Ubiquitous Computing 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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