William Trehern
Impact in
- Mechanical Engineering top 10%
- High Entropy Alloys Studies
- Additive Manufacturing Materials and Processes
- Phase Change Materials Research
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- Shape Memory Alloy Transformations
- Titanium Alloys Microstructure and Properties
- Machine Learning in Materials Science
Papers in
-
- High Entropy Alloys Studies 7
- Phase Change Materials Research 3
- Additive Manufacturing Materials and Processes 2
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- Shape Memory Alloy Transformations 9
- Machine Learning in Materials Science 3
- Co-authors
- İbrahim Karaman (13 shared papers)Raymundo Arróyave (8 shared papers)K.C. Atli (5 shared papers)D. Canadinç (2 shared papers)Zaffir Chaudhry (2 shared papers)Fanping Sun (1 shared paper)Ji Ma (1 shared paper)Brent Vela (3 shared papers)
- Journals
- Acta Materialia (5 papers)Shape Memory and Superelasticity (2 papers)Scripta Materialia (2 papers)Additive manufacturing (1 paper)npj Computational Materials (1 paper)
- Partner nations
- United StatesTürkiyeSpain
In The Last Decade
William Trehern
15 papers receiving 397 citations
Peers
Comparison fields: 5 of 34
- Mechanical Engineering 237
- Materials Chemistry 285
- Metals and Alloys 9
- Aerospace Engineering 52
- Automotive Engineering 22
Countries citing papers authored by William Trehern
This map shows the geographic impact of William Trehern'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 William Trehern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Trehern more than expected).
Fields of papers citing papers by William Trehern
This network shows the impact of papers produced by William Trehern. 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 William Trehern. The network helps show where William Trehern may publish in the future.
Co-authors
The 25 scholars most cited alongside William Trehern, 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 | 2018 | 86 | |
| 2 | 2022 | 57 | |
| 3 | 2017 | 40 | |
| 4 | 2023 | 39 | |
| 5 | 2021 | 36 | |
| 6 | 2023 | 26 | |
| 7 | 2024 | 25 | |
| 8 | 2021 | 23 | |
| 9 | 2024 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2021 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2025 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 0 |
About William Trehern
William Trehern is a scholar working on Mechanical Engineering, Materials Chemistry, Polymers and Plastics, Experimental and Cognitive Psychology and Aerospace Engineering, having authored 16 papers that have together received 400 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (9 papers), High Entropy Alloys Studies (7 papers), Phase Change Materials Research (3 papers), Transition Metal Oxide Nanomaterials (3 papers), Machine Learning in Materials Science (3 papers), High-Temperature Coating Behaviors (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Creativity in Education and Neuroscience (2 papers). The work is most often cited by research in Mechanical Engineering (237 citations), Materials Chemistry (285 citations), Metals and Alloys (9 citations), Aerospace Engineering (52 citations) and Automotive Engineering (22 citations). William Trehern has collaborated with scholars based in United States, Türkiye and Spain. Frequent co-authors include İbrahim Karaman, Raymundo Arróyave, K.C. Atli, D. Canadinç, Zaffir Chaudhry, Fanping Sun, Ji Ma, Brent Vela, Darin J. Sharar and Tanner Kirk. Their work appears in journals such as Acta Materialia, Shape Memory and Superelasticity, Scripta Materialia, Additive manufacturing and npj Computational 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.