Raf Ramakers

700 citations
26 papers · 507 · h-index 14

Impact in

Papers in

Raf Ramakers

25 papers receiving 499 citations

Peers

Raf Ramakers
Comparison fields: 5 of 54
  • Human-Computer Interaction 355
  • Cognitive Neuroscience 201
  • Architecture 13
  • Computer Vision and Pattern Recognition 117
  • Automotive Engineering 66
Replace Valkyrie Savage with:
Valkyrie Savage Denmark
Christian Weichel United Kingdom
Ludwig Wall Germany
Simon Voelker Germany
Huaishu Peng United States
Greg Saul United Kingdom
Nadya Peek United States
Eric Brockmeyer United States
Thijs Roumen Germany
Raf Ramakers relative to Valkyrie Savage Denmark Valkyrie Savage's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raf Ramakers

Since Specialization
Citations

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

Fields of papers citing papers by Raf Ramakers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201670
2 202058
3 201553
4 201851
5 201732
6 201431
7 201227
8 201427
9 201924
10 202023
11 202021
12 201919
13 202116
14 202015
15 202213
16 20245
17 20205
18 20155
19 20234
20 20142

About Raf Ramakers

Raf Ramakers is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 26 papers that have together received 507 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (22 papers), Tactile and Sensory Interactions (13 papers), Augmented Reality Applications (10 papers), Manufacturing Process and Optimization (4 papers), Usability and User Interface Design (3 papers), Modular Robots and Swarm Intelligence (3 papers), Innovative Human-Technology Interaction (3 papers) and Advanced Sensor and Energy Harvesting Materials (3 papers). The work is most often cited by research in Human-Computer Interaction (355 citations), Cognitive Neuroscience (201 citations), Architecture (13 citations), Computer Vision and Pattern Recognition (117 citations) and Automotive Engineering (66 citations). Raf Ramakers has collaborated with scholars based in Belgium, Germany and Denmark. Frequent co-authors include Kris Luyten, Kashyap Todi, Wim Deferme, Tovi Grossman, George Fitzmaurice, Fraser Anderson, Steven Nagels, Johannes Schöning, Daniel Ashbrook and Nadya Peek. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Robotics and Automation Letters, KTH Publication Database DiVA (KTH Royal Institute of Technology), Document Server@UHasselt (UHasselt) and Lirias (KU Leuven).

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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