David Zarrouk

1.5k citations
53 papers · 1.2k indexed · h-index 18

Impact in

    • Robotic Locomotion and Control
    • Soft Robotics and Applications
    • Advanced Sensor and Energy Harvesting Materials
    • Modular Robots and Swarm Intelligence
    • Advanced Materials and Mechanics

Papers in

David Zarrouk

51 papers receiving 1.1k citations

Peers

David Zarrouk
Comparison fields: 5 of 67
  • Biomedical Engineering 860
  • Mechanical Engineering 669
  • Condensed Matter Physics 180
  • Control and Systems Engineering 235
  • Computer Vision and Pattern Recognition 160
Replace Takefumi Kanda with:
Takefumi Kanda Japan
Zhengxin Yang China
Chenyang Huang China
Gwang-Pil Jung South Korea
Andrew T. Conn United Kingdom
Daniel M. Aukes United States
Zhexin Xie China
Kanty Rabenorosoa France
Justin K. Yim United States
Neel Doshi United States
David Zarrouk relative to Takefumi Kanda Japan Takefumi Kanda's profile →
Citations per field
00.5×5.7×
Takefumi Kanda · 1×
Citations per year

Countries citing papers authored by David Zarrouk

Since Specialization
Citations

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

Fields of papers citing papers by David Zarrouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20240
5 20241
6 20245
7 20232
8 202311
9 20233
10 20221
11 201912
12 20165
13 201643
14 2014297
15 201413
16 20136
17 201347
18 201239
19 20116
20 201028

About David Zarrouk

David Zarrouk is a scholar working on Mechanical Engineering, Biomedical Engineering, Condensed Matter Physics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (32 papers), Robotic Locomotion and Control (26 papers), Soft Robotics and Applications (19 papers), Robotic Path Planning Algorithms (11 papers), Micro and Nano Robotics (10 papers), Prosthetics and Rehabilitation Robotics (9 papers), Robot Manipulation and Learning (7 papers) and Biomimetic flight and propulsion mechanisms (6 papers). The work is most often cited by research in Biomedical Engineering (860 citations), Mechanical Engineering (669 citations), Condensed Matter Physics (180 citations), Control and Systems Engineering (235 citations) and Computer Vision and Pattern Recognition (160 citations). David Zarrouk has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Ronald S. Fearing, Moshe Shoham, Andrew Pullin, Inna Sharf, Duncan W. Haldane, Yang Zhao, Chuan Wang, Jung-Woo T. Seo, Xiaobo Zhang and Mark Hettick. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Access, Mechanism and Machine Theory, Bioinspiration & Biomimetics and IEEE Transactions on Biomedical Engineering.

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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