Daekeon Ahn
Impact in
- Automotive Engineering top 1%
- Additive Manufacturing and 3D Printing Technologies
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- Manufacturing Process and Optimization
Papers in
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- Manufacturing Process and Optimization 4
- Engineering Technology and Methodologies 1
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- Additive Manufacturing and 3D Printing Technologies 4
- Co-authors
- Seok‐Hee Lee (6 shared papers)Jin‐Hwe Kweon (2 shared papers)Ho-Chan Kim (2 shared papers)Jung‐il Song (1 shared paper)Jinho Choi (1 shared paper)Soon Man Kwon (1 shared paper)Woo‐Sung Jang (1 shared paper)A. N. Sreeram (1 shared paper)
- Journals
- Journal of Materials Processing Technology (3 papers)International Journal of Precision Engineering and Manufacturing (1 paper)International Journal of Machine Tools and Manufacture (1 paper)SID Symposium Digest of Technical Papers (1 paper)
- Partner nations
- South Korea
In The Last Decade
Daekeon Ahn
7 papers receiving 700 citations
Daekeon Ahn's Hit Papers
Peers
Comparison fields: 5 of 55
- Automotive Engineering 628
- Industrial and Manufacturing Engineering 407
- Mechanical Engineering 471
- Building and Construction 64
- Human-Computer Interaction 21
Countries citing papers authored by Daekeon Ahn
This map shows the geographic impact of Daekeon Ahn'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 Daekeon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daekeon Ahn more than expected).
Fields of papers citing papers by Daekeon Ahn
This network shows the impact of papers produced by Daekeon Ahn. 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 Daekeon Ahn. The network helps show where Daekeon Ahn may publish in the future.
Co-authors
The 8 scholars most cited alongside Daekeon Ahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Representation of surface roughness in fused deposition modeling Hit paper breakdown → | 2009 | 334 |
| 2 | 2008 | 140 | |
| 3 | 2011 | 106 | |
| 4 | 2006 | 98 | |
| 5 | 2008 | 22 | |
| 6 | Improving the Surface Roughness of SL Parts Using a Coating and Grinding Process | 2007 | 16 |
| 7 | 1999 | 5 |
About Daekeon Ahn
Daekeon Ahn is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering, Computational Mechanics, Mechanical Engineering and Mechanics of Materials, having authored 7 papers that have together received 721 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Surface Roughness and Optical Measurements (2 papers), Additive Manufacturing Materials and Processes (2 papers), Pigment Synthesis and Properties (1 paper), Electrical and Thermal Properties of Materials (1 paper), Engineering Technology and Methodologies (1 paper) and Advanced Measurement and Metrology Techniques (1 paper). The work is most often cited by research in Automotive Engineering (628 citations), Industrial and Manufacturing Engineering (407 citations), Mechanical Engineering (471 citations), Building and Construction (64 citations) and Human-Computer Interaction (21 citations). Daekeon Ahn has collaborated with scholars based in South Korea. Frequent co-authors include Seok‐Hee Lee, Jin‐Hwe Kweon, Ho-Chan Kim, Jung‐il Song, Jinho Choi, Soon Man Kwon, Woo‐Sung Jang and A. N. Sreeram. Their work appears in journals such as Journal of Materials Processing Technology, International Journal of Precision Engineering and Manufacturing, International Journal of Machine Tools and Manufacture and SID Symposium Digest of Technical Papers.
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.