Wouter Caarls

698 citations
56 papers · 518 · h-index 15

Impact in

  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques
    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques

Papers in

Wouter Caarls

51 papers receiving 485 citations

Peers

Wouter Caarls
Comparison fields: 5 of 90
  • Biophysics 45
  • Hardware and Architecture 47
  • Control and Systems Engineering 112
  • Computer Vision and Pattern Recognition 81
  • Computer Networks and Communications 50
Replace Andrew A. Berlin with:
Andrew A. Berlin United States
Hiroyuki Kuwahara Japan
Zhi Huang China
Zhen Chen China
Gerardo Aragón-Camarasa United Kingdom
Jingyuan Zhang China
Saturnino Vicente-Díaz Spain
Xin‐Hua Hu China
Wouter Caarls relative to Andrew A. Berlin United States Andrew A. Berlin's profile →
Citations per field
00.5×1.5×2×2.4×
Andrew A. Berlin · 1×
Citations per year

Countries citing papers authored by Wouter Caarls

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Caarls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200948
2 200936
3 201035
4 201829
5 200927
6 201227
7 201826
8 201724
9 200919
10 201417
11 201816
12 202114
13 201014
14 202014
15 201514
16 201913
17 200611
18
Architecture Study for Smart Cameras
20059
19
Application Driven Design Of Embedded Real-Time Image Processors
20038
20 20188

About Wouter Caarls

Wouter Caarls is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 56 papers that have together received 518 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (9 papers), CCD and CMOS Imaging Sensors (7 papers), Parallel Computing and Optimization Techniques (7 papers), Smart Agriculture and AI (7 papers), Embedded Systems Design Techniques (6 papers), Robot Manipulation and Learning (6 papers), Advanced Control Systems Optimization (6 papers) and Advanced Fluorescence Microscopy Techniques (4 papers). The work is most often cited by research in Biophysics (45 citations), Hardware and Architecture (47 citations), Control and Systems Engineering (112 citations), Computer Vision and Pattern Recognition (81 citations) and Computer Networks and Communications (50 citations). Wouter Caarls has collaborated with scholars based in Brazil, Netherlands and Germany. Frequent co-authors include Pieter Jonker, Thomas M. Jovin, Martijn Wisse, Alexander P. Demchenko, M. Soledad Celej, Anthony H. B. de Vries, Berk Çallı, Donna J. Arndt‐Jovin, Robert Babuška and Henk Corporaal. Their work appears in journals such as Machine Vision and Applications, IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, Journal of Microscopy and IEEE Transactions on NanoBioscience.

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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