Raphaël Grasset

2.7k citations
69 papers · 2k · h-index 24

Impact in

Papers in

Raphaël Grasset

69 papers receiving 1.9k citations

Peers

Raphaël Grasset
Comparison fields: 5 of 90
  • Human-Computer Interaction 716
  • Computer Vision and Pattern Recognition 1.3k
  • Computer Graphics and Computer-Aided Design 60
  • Geology 42
  • Radiation 36
Replace Daniel F. Keefe with:
Daniel F. Keefe United States
W. Brent Seales United States
Wayne Piekarski Australia
Jürgen P. Schulze United States
Jiaoying Shi China
Thomas F. Stahovich United States
Anton L. Fuhrmann Austria
Cagri Ozcinar Ireland
Marcos Fernández Spain
Adrian Clark New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by Raphaël Grasset

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Grasset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008191
2 2010131
3 2012127
4
Applying HCI principles to AR systems design
2007108
5 200585
6 201481
7 201473
8 200870
9 202065
10 200860
11 200558
12
Augmented reality browser survey
201158
13 200757
14
OSGART - A Pragmatic Approach to MR
200651
15 201251
16 201250
17 200746
18 201243
19 200739
20 200632

About Raphaël Grasset

Raphaël Grasset is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Radiation, Computer Graphics and Computer-Aided Design and Geology, having authored 69 papers that have together received 2k indexed citations. Recurring topics across this work include Augmented Reality Applications (40 papers), Interactive and Immersive Displays (34 papers), Data Visualization and Analytics (4 papers), Advanced X-ray and CT Imaging (3 papers), Virtual Reality Applications and Impacts (3 papers), Advanced Radiotherapy Techniques (3 papers), Advanced Vision and Imaging (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Human-Computer Interaction (716 citations), Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (60 citations), Geology (42 citations) and Radiation (36 citations). Raphaël Grasset has collaborated with scholars based in New Zealand, Austria and United States. Frequent co-authors include Mark Billinghurst, Andreas Duenser, Dieter Schmalstieg, Tobias Langlotz, Hartmut Seichter, Julian Looser, Denis Kalkofen, Markus Tatzgern, Jens Grubert and Andreas Dünser. Their work appears in journals such as Pervasive and Mobile Computing, IEEE Transactions on Visualization and Computer Graphics, Personal and Ubiquitous Computing, European Radiology and Communications of the ACM.

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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