Austin T. Sutton
- Mechanical Engineering top 5%
- Automotive Engineering top 2%
- Computational Mechanics top 10%
- Materials Chemistry
- Biomedical Engineering
- Co-authors
- Ming C. LeuJoseph William NewkirkCaitlin S. KriewallBen BrownChia‐Hung HungSreekar KarnatiM. Hossein SehhatMing-Chuan Leu
- Topics
- Additive Manufacturing Materials and Processes (20 papers)Additive Manufacturing and 3D Printing Technologies (18 papers)Welding Techniques and Residual Stresses (6 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Austin T. Sutton
22 papers receiving 661 citations
Peers
Comparison fields: 5 of 45
- Mechanical Engineering 612
- Automotive Engineering 505
- Computational Mechanics 66
- Materials Chemistry 66
- Biomedical Engineering 62
Countries citing papers authored by Austin T. Sutton
This map shows the geographic impact of Austin T. Sutton'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 Austin T. Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Austin T. Sutton more than expected).
Fields of papers citing papers by Austin T. Sutton
This network shows the impact of papers produced by Austin T. Sutton. 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 Austin T. Sutton. The network helps show where Austin T. Sutton may publish in the future.
Co-authorship network of co-authors of Austin T. Sutton
This figure shows the co-authorship network connecting the top 25 collaborators of Austin T. Sutton. A scholar is included among the top collaborators of Austin T. Sutton 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 Austin T. Sutton. Austin T. Sutton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 25 | |
| 7 | 31 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 16 | |
| 11 | Characterization and recyclability of 304L stainless steel powder for use in the selective laser melting process | 2 |
| 12 | 42 | |
| 13 | 69 | |
| 14 | 37 | |
| 15 | 61 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Characterization of Heat-Affected Powder Generated during the Selective Laser Melting of 304L Stainless Steel Powder | 6 |
| 19 | 272 | |
| 20 | Investigation of Heat-Affected 304L SS Powder and its Effect on Built Parts in Selective Laser Melting | 6 |
About Austin T. Sutton
Austin T. Sutton is a scholar working on Automotive Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 681 indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (20 papers), Additive Manufacturing and 3D Printing Technologies (18 papers) and Welding Techniques and Residual Stresses (6 papers). The work is most often cited by research in Automotive Engineering (505 citations), Mechanical Engineering (612 citations) and Industrial and Manufacturing Engineering (58 citations). Austin T. Sutton has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Ming C. Leu, Joseph William Newkirk, Caitlin S. Kriewall, Ben Brown, Chia‐Hung Hung, Sreekar Karnati, M. Hossein Sehhat, Ming-Chuan Leu, Hai-Lung Tsai and Yingqi Li. Their work appears in journals such as Materials, Smart Materials and Structures and Additive manufacturing.
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.