Eric Demeester

70 papers receiving 847 citations

Peers

Eric Demeester
Comparison fields: 5 of 85
  • Human-Computer Interaction 244
  • Computer Vision and Pattern Recognition 238
  • Industrial and Manufacturing Engineering 116
  • Control and Systems Engineering 261
  • Cognitive Neuroscience 150
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Guanglong Du China
Jun Takamatsu Japan
Chung‐Hsien Kuo Taiwan
Emrah Akin Sisbot United States
Takamitsu Matsubara Japan
Aaron Edsinger United States
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Danijela Ristić–Durrant Germany
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Citations per year

Countries citing papers authored by Eric Demeester

Since Specialization
Citations

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

Fields of papers citing papers by Eric Demeester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200757
2
Shared control for intelligent wheelchairs: an implicit estimation of the user intention
200355
3 201145
4 202039
5 201037
6 202136
7 200635
8 201828
9 200426
10 202125
11 201124
12 202123
13
Haptic feedback for medical applications, a survey
201223
14 202021
15 202120
16 202120
17 201919
18 201218
19 201717
20 201317

About Eric Demeester

Eric Demeester is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Human-Computer Interaction, Mechanical Engineering and Biomedical Engineering, having authored 77 papers that have together received 902 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (20 papers), Gaze Tracking and Assistive Technology (18 papers), Robotic Path Planning Algorithms (15 papers), Soft Robotics and Applications (10 papers), Robotics and Sensor-Based Localization (8 papers), Social Robot Interaction and HRI (7 papers), Teleoperation and Haptic Systems (6 papers) and Indoor and Outdoor Localization Technologies (6 papers). The work is most often cited by research in Human-Computer Interaction (244 citations), Computer Vision and Pattern Recognition (238 citations), Industrial and Manufacturing Engineering (116 citations), Control and Systems Engineering (261 citations) and Cognitive Neuroscience (150 citations). Eric Demeester has collaborated with scholars based in Belgium, Sweden and Netherlands. Frequent co-authors include Marnix Nuttin, Dirk Vanhooydonck, Karel Kellens, Hendrik Van Brussel, Gerolf Vanacker, Emmanuel Vander Poorten, Peter Slaets, Davy Pissoort, Tom Holvoet and Matthias De Ryck. Their work appears in journals such as Applied Sciences, IEEE Robotics and Automation Letters, Journal of Manufacturing Systems, Sensors and Nuclear Engineering and Technology.

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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