Will Nash
Impact in
- Metals and Alloys top 10%
- Hydrogen embrittlement and corrosion behaviors in metals
- Civil and Structural Engineering top 10%
- Infrastructure Maintenance and Monitoring
- Concrete Corrosion and Durability
Papers in
-
- Infrastructure Maintenance and Monitoring 4
- Concrete Corrosion and Durability 1
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- Non-Destructive Testing Techniques 4
- Structural Integrity and Reliability Analysis 2
- Additive Manufacturing Materials and Processes 1
- Co-authors
- N. Birbilis (6 shared papers)Tom Drummond (4 shared papers)Liang Zheng (1 shared paper)Yao Qiu (1 shared paper)Rajeev Gupta (1 shared paper)Ziyuan Li (1 shared paper)Leona Holloway (1 shared paper)
- Journals
- CORROSION (2 papers)npj Materials Degradation (2 papers)Journal of Material Science and Technology (1 paper)Figshare (1 paper)ANU Open Research (Australian National University) (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Will Nash
6 papers receiving 257 citations
Peers
Comparison fields: 5 of 69
- Metals and Alloys 25
- Civil and Structural Engineering 101
- Mechanical Engineering 127
- Industrial and Manufacturing Engineering 29
- Materials Chemistry 98
Countries citing papers authored by Will Nash
This map shows the geographic impact of Will Nash'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 Will Nash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Will Nash more than expected).
Fields of papers citing papers by Will Nash
This network shows the impact of papers produced by Will Nash. 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 Will Nash. The network helps show where Will Nash may publish in the future.
Co-authors
The 7 scholars most cited alongside Will Nash, 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 | 121 | |
| 2 | 2022 | 64 | |
| 3 | 2022 | 41 | |
| 4 | 2019 | 26 | |
| 5 | 2019 | 20 | |
| 6 | 2023 | 1 | |
| 7 | Artificial intelligence assisted condition assessment | 2017 | 1 |
About Will Nash
Will Nash is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Materials Chemistry, Pollution and Aerospace Engineering, having authored 7 papers that have together received 274 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (4 papers), Non-Destructive Testing Techniques (4 papers), Structural Integrity and Reliability Analysis (2 papers), Corrosion Behavior and Inhibition (2 papers), Additive Manufacturing Materials and Processes (1 paper), High-Temperature Coating Behaviors (1 paper), Concrete Corrosion and Durability (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Metals and Alloys (25 citations), Civil and Structural Engineering (101 citations), Mechanical Engineering (127 citations), Industrial and Manufacturing Engineering (29 citations) and Materials Chemistry (98 citations). Will Nash has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include N. Birbilis, Tom Drummond, Liang Zheng, Yao Qiu, Rajeev Gupta, Ziyuan Li and Leona Holloway. Their work appears in journals such as CORROSION, npj Materials Degradation, Journal of Material Science and Technology, Figshare and ANU Open Research (Australian National University).
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.