Kunnayut Eiamsa-ard
- Mechanical Engineering top 10%
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Aerospace Engineering top 10%
- Co-authors
- Frank LiouJianzhong RuanHowie ChosetJoel W. BurdickSean WalkerLan RenTodd E. SparksKevin Slattery
- Topics
- Additive Manufacturing and 3D Printing Technologies (10 papers)Manufacturing Process and Optimization (8 papers)Additive Manufacturing Materials and Processes (4 papers)
- Cited by
- Automotive EngineeringIndustrial and Manufacturing EngineeringComputer Vision and Pattern Recognition
- Journals
- The International Journal of Robotics ResearchComputer-Aided DesignJournal of Manufacturing Processes
- Partner nations
- United StatesThailand
In The Last Decade
Kunnayut Eiamsa-ard
13 papers receiving 301 citations
Peers
Comparison fields: 5 of 31
- Mechanical Engineering 174
- Automotive Engineering 165
- Computer Vision and Pattern Recognition 121
- Industrial and Manufacturing Engineering 110
- Aerospace Engineering 93
Countries citing papers authored by Kunnayut Eiamsa-ard
This map shows the geographic impact of Kunnayut Eiamsa-ard'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 Kunnayut Eiamsa-ard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunnayut Eiamsa-ard more than expected).
Fields of papers citing papers by Kunnayut Eiamsa-ard
This network shows the impact of papers produced by Kunnayut Eiamsa-ard. 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 Kunnayut Eiamsa-ard. The network helps show where Kunnayut Eiamsa-ard may publish in the future.
Co-authorship network of co-authors of Kunnayut Eiamsa-ard
This figure shows the co-authorship network connecting the top 25 collaborators of Kunnayut Eiamsa-ard. A scholar is included among the top collaborators of Kunnayut Eiamsa-ard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kunnayut Eiamsa-ard. Kunnayut Eiamsa-ard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 37 | |
| 5 | Automated Slicing for a Multi-Axis Metal Deposition System (Preprint) | 2 |
| 6 | 3 | |
| 7 | 71 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 131 |
About Kunnayut Eiamsa-ard
Kunnayut Eiamsa-ard is a scholar working on Computer Graphics and Computer-Aided Design, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 13 papers that have together received 337 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (10 papers), Manufacturing Process and Optimization (8 papers) and Additive Manufacturing Materials and Processes (4 papers). The work is most often cited by research in Automotive Engineering (165 citations), Industrial and Manufacturing Engineering (110 citations) and Computer Vision and Pattern Recognition (121 citations). Kunnayut Eiamsa-ard has collaborated with scholars based in United States and Thailand. Frequent co-authors include Frank Liou, Jianzhong Ruan, Howie Choset, Joel W. Burdick, Sean Walker, Lan Ren, Todd E. Sparks, Kevin Slattery, Robert G. Landers and Jun Zhang. Their work appears in journals such as The International Journal of Robotics Research, Computer-Aided Design and Journal of Manufacturing Processes.
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.