Eric Demeester

1.3k citations
74 papers · 878 indexed · h-index 18

Eric Demeester

68 papers receiving 820 citations

Peers

Eric Demeester
Comparison fields: 5 of 83
  • Human-Computer Interaction 256
  • Industrial and Manufacturing Engineering 116
  • Computer Vision and Pattern Recognition 236
  • Control and Systems Engineering 258
  • Cognitive Neuroscience 151
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Guanglong Du China
Jun Takamatsu Japan
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Emrah Akin Sisbot United States
Jacopo Aleotti Italy
Takamitsu Matsubara Japan
Aaron Edsinger United States
Uriel Martínez-Hernández United Kingdom
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-authorship network

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
#Work
1 20250
2 20223
3 20223
4 20224
5 20222
6 20229
7 202117
8 20214
9 202125
10 20211
11 20211
12 20212
13 20187
14
ML, MAP and greedy POMDP shared control: comparison of wheelchair navigation assistance for switch interfaces
20124
15
Design and evaluation of a lookup-table based collision-checking approach for fixed sets of mobile robot paths
20123
16
Haptic feedback for medical applications, a survey
201223
17 20111
18 200513
19
Assessing the user's intent using bayes' rule : application to wheelchair control
20039
20
Fine Motion Planning for Shared Wheelchair Control: Requirements and Preliminary Experiments
200311

About Eric Demeester

Eric Demeester is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Control and Systems Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 74 papers that have together received 878 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), Indoor and Outdoor Localization Technologies (6 papers) and Teleoperation and Haptic Systems (6 papers). The work is most often cited by research in Human-Computer Interaction (256 citations), Industrial and Manufacturing Engineering (116 citations), Computer Vision and Pattern Recognition (236 citations), Control and Systems Engineering (258 citations) and Cognitive Neuroscience (151 citations). Eric Demeester has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include Marnix Nuttin, Dirk Vanhooydonck, Karel Kellens, Hendrik Van Brussel, Gerolf Vanacker, Emmanuel Vander Poorten, Peter Slaets, Matthias De Ryck, Davy Pissoort and Tom Holvoet. Their work appears in journals such as IEEE Robotics and Automation Letters, Applied Sciences, Sensors, Journal of Manufacturing Systems and Robotics.

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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