Nigel W. John

126 papers receiving 2.4k citations

Nigel W. John's Hit Papers

The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art 2010 · 324 citations
3240+5+10Years since publication100200300

Peers

Nigel W. John
Comparison fields: 5 of 152
  • Human-Computer Interaction 522
  • Computer Graphics and Computer-Aided Design 150
  • Computer Vision and Pattern Recognition 831
  • Surgery 693
  • Biomedical Engineering 615
Replace Frank Tendick with:
Frank Tendick United States
Pierre Boulanger Canada
Yohan Payan France
Andrea Giachetti Italy
Çağatay Başdoğan Türkiye
Ronan Boulic Switzerland
Lijun Yin United States
Matthias Harders Switzerland
Alireza Fathi Iran
Masaaki Mochimaru Japan
Nigel W. John relative to Frank Tendick United States Frank Tendick's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nigel W. John

Since Specialization
Citations

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

Fields of papers citing papers by Nigel W. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Role of Haptics in Medical Training Simulators: A Survey of the State of the Art
Hit paper breakdown →
2010324
2 2012163
3 1997142
4 2002106
5 2004103
6 201193
7 201890
8 200387
9 201080
10 200573
11 201769
12 200565
13 201263
14 200260
15 200749
16 200042
17 200240
18 202039
19 200639
20 200933

About Nigel W. John

Nigel W. John is a scholar working on Computer Vision and Pattern Recognition, Surgery, Biomedical Engineering, Human-Computer Interaction and Mechanical Engineering, having authored 135 papers that have together received 2.6k indexed citations. Recurring topics across this work include Surgical Simulation and Training (49 papers), Augmented Reality Applications (38 papers), Virtual Reality Applications and Impacts (16 papers), Teleoperation and Haptic Systems (15 papers), Computer Graphics and Visualization Techniques (15 papers), Anatomy and Medical Technology (12 papers), Soft Robotics and Applications (11 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Human-Computer Interaction (522 citations), Computer Graphics and Computer-Aided Design (150 citations), Computer Vision and Pattern Recognition (831 citations), Surgery (693 citations) and Biomedical Engineering (615 citations). Nigel W. John has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include A. Munjiza, Timothy R. Coles, Dwight Meglan, Serban R. Pop, Esteban Rougier, Wen Tang, Tao Wan, Panagiotis D. Ritsos, Debby Gould and Derek Gould. Their work appears in journals such as Computer Graphics Forum, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Visualization and Computer Graphics, International Journal for Numerical Methods in Engineering and PRESENCE Virtual and Augmented 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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