Thavida Maneewarn

403 citations
53 papers · 279 · h-index 10

Impact in

Papers in

    • Soft Robotics and Applications 16
    • Robotic Locomotion and Control 7
    • Prosthetics and Rehabilitation Robotics 6
    • Modular Robots and Swarm Intelligence 10
    • Teleoperation and Haptic Systems 7

Thavida Maneewarn

51 papers receiving 264 citations

Peers

Thavida Maneewarn
Comparison fields: 5 of 63
  • Control and Systems Engineering 125
  • Mechanical Engineering 117
  • Biomedical Engineering 119
  • Human-Computer Interaction 15
  • Computer Vision and Pattern Recognition 44
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Citations per field
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Citations per year

Countries citing papers authored by Thavida Maneewarn

Since Specialization
Citations

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

Fields of papers citing papers by Thavida Maneewarn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Thavida Maneewarn, 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 Thavida Maneewarn Line = papers co-authored together Thavida Maneewarn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200326
2 200517
3 200316
4 200513
5 201211
6 200211
7 199910
8 200810
9 20109
10 20099
11 20149
12 20158
13 20088
14 20218
15 20227
16 20197
17 20207
18 20026
19 20196
20 19996

About Thavida Maneewarn

Thavida Maneewarn is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 53 papers that have together received 279 indexed citations. Recurring topics across this work include Soft Robotics and Applications (16 papers), Robot Manipulation and Learning (11 papers), Modular Robots and Swarm Intelligence (10 papers), Robotic Path Planning Algorithms (7 papers), Teleoperation and Haptic Systems (7 papers), Robotic Locomotion and Control (7 papers), Prosthetics and Rehabilitation Robotics (6 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Control and Systems Engineering (125 citations), Mechanical Engineering (117 citations), Biomedical Engineering (119 citations), Human-Computer Interaction (15 citations) and Computer Vision and Pattern Recognition (44 citations). Thavida Maneewarn has collaborated with scholars based in Thailand, United States and Netherlands. Frequent co-authors include Blake Hannaford, Jeremy Wyatt, Eakkachai Pengwang, Duane Storti, Mark A. Ganter, Po‐Kai Hsu, Boonserm Kaewkamnerdpong, Mark W. Appleby, Steven C. Venema and Kiattisin Kanjanawanishkul. Their work appears in journals such as Robotics and Autonomous Systems, Applied Sciences, IEEE Access, Advanced Robotics and Applied Mechanics and Materials.

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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