John McGhee

421 citations
30 papers · 280 · h-index 9

Impact in

Papers in

John McGhee

28 papers receiving 274 citations

Peers

John McGhee
Comparison fields: 5 of 108
  • Human-Computer Interaction 105
  • Structural Biology 5
  • Biophysics 16
  • Computer Graphics and Computer-Aided Design 8
  • Computer Vision and Pattern Recognition 47
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María Luz Germany
Chien‐Hsiung Chen Taiwan
David Nuñez South Africa
Ben Delaney Australia
Lal Bozgeyikli United States
Benoît Bossavit Spain
James Jeng-Weei Lin United States
Jim Budd United States
Dengchuan Cai Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by John McGhee

Since Specialization
Citations

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

Fields of papers citing papers by John McGhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201426
3 201823
4 202122
5 201422
6 200919
7 201214
8 202413
9 201610
10 20168
11 20137
12 20215
13 20155
14 20165
15 20183
16 20233
17 20073
18 20193
19 20192
20 20072

About John McGhee

John McGhee is a scholar working on Biomedical Engineering, Biophysics, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and General Health Professions, having authored 30 papers that have together received 280 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Computer Graphics and Visualization Techniques (4 papers), Anatomy and Medical Technology (3 papers), Stroke Rehabilitation and Recovery (3 papers), Surgical Simulation and Training (2 papers), Virtual Reality Applications and Impacts (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Homelessness and Social Issues (2 papers). The work is most often cited by research in Human-Computer Interaction (105 citations), Structural Biology (5 citations), Biophysics (16 citations), Computer Graphics and Computer-Aided Design (8 citations) and Computer Vision and Pattern Recognition (47 citations). John McGhee has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jon Rogers, Benjamin Bailey, Steven Faux, Robert G. Parton, Thomas P. Davis, Christine T. Shiner, Angus P. R. Johnston, James Rae, Nicholas Ariotti and Sheryl Maher. Their work appears in journals such as Ciência & Saúde Coletiva, Journal of Visual Communication in Medicine, International Journal of Nursing Studies, Journal of Controlled Release and eLife.

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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