Christopher Sewell

29 papers receiving 860 citations

Peers

Christopher Sewell
Comparison fields: 5 of 97
  • Computer Graphics and Computer-Aided Design 90
  • Human-Computer Interaction 115
  • Computer Vision and Pattern Recognition 261
  • Hardware and Architecture 71
  • Information Systems and Management 60
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R. Curwen United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Sewell

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Sewell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006169
2
CHAI: An Open-Source Library for the Rapid Development of Haptic Scenes
2005118
3 201697
4 200890
5 200471
6 201245
7
Validating metrics for a mastoidectomy simulator.
200742
8 201341
9 201631
10 200828
11 200728
12 201524
13
Quantifying risky behavior in surgical simulation.
200518
14
Evaluating drilling and suctioning technique in a mastoidectomy simulator.
200715
15 201713
16 201912
17
Achieving proper exposure in surgical simulation.
20067
18 20127
19 20136
20
Automatic performance evaluation in surgical simulation
20076

About Christopher Sewell

Christopher Sewell is a scholar working on Computer Vision and Pattern Recognition, Surgery, Computer Networks and Communications, Biomedical Engineering and Hardware and Architecture, having authored 29 papers that have together received 900 indexed citations. Recurring topics across this work include Surgical Simulation and Training (9 papers), Augmented Reality Applications (8 papers), Advanced Data Storage Technologies (6 papers), Parallel Computing and Optimization Techniques (4 papers), Computer Graphics and Visualization Techniques (4 papers), Data Visualization and Analytics (3 papers), Anatomy and Medical Technology (3 papers) and Soft Robotics and Applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (90 citations), Human-Computer Interaction (115 citations), Computer Vision and Pattern Recognition (261 citations), Hardware and Architecture (71 citations) and Information Systems and Management (60 citations). Christopher Sewell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Nikolas H. Blevins, Federico Barbagli, Dan Morris, Kenneth Salisbury, James Ahrens, Li‐Ta Lo, François Conti, K. Salisbury, David C. Morris and Sabine Girod. Their work appears in journals such as IEEE Computer Graphics and Applications, Computer Aided Surgery, Computer, Journal of Applied Crystallography and IEEE Transactions on Visualization and Computer Graphics.

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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