Mark McGill

2.4k citations
87 papers · 1.6k indexed · h-index 22

Mark McGill

81 papers receiving 1.5k citations

Peers

Mark McGill
Comparison fields: 5 of 86
  • Human-Computer Interaction 1.3k
  • Computer Vision and Pattern Recognition 592
  • Social Psychology 429
  • Cognitive Neuroscience 342
  • Media Technology 116
Replace Maximino Bessa with:
Maximino Bessa Portugal
Jan Gugenheimer Germany
Miguel Melo Portugal
Rolf Nordahl Denmark
Valentin Schwind Germany
Charles B. Owen United States
Eelke Folmer United States
Hideaki Kuzuoka Japan
Katerina Mania Greece
Pascal Knierim Germany
Mark McGill relative to Maximino Bessa Portugal Maximino Bessa's profile →
Citations per field
00.5×1.5×
Maximino Bessa · 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-authorship network

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

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About Mark McGill

Mark McGill is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Media Technology, Computer Vision and Pattern Recognition and Social Psychology, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (59 papers), Augmented Reality Applications (22 papers), Interactive and Immersive Displays (17 papers), Tactile and Sensory Interactions (14 papers), Human-Automation Interaction and Safety (13 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 (1.3k citations), Computer Vision and Pattern Recognition (592 citations), Social Psychology (429 citations), Cognitive Neuroscience (342 citations) and Media Technology (116 citations). Mark McGill has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Stephen Brewster, Julie Williamson, Mohamed Khamis, Alexander Ng, Roderick Murray‐Smith, Daniel Boland, Graham Wilson, Daniel Medeiros, Jan Gugenheimer and Joseph O’Hagan. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Computer-Human Interaction, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Intelligent Transportation Systems and IEEE Journal of Biomedical and Health Informatics.

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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