Supriadi Rustad
Impact in
- Metals and Alloys top 5%
- Hydrogen embrittlement and corrosion behaviors in metals
- Materials Chemistry top 10%
- Corrosion Behavior and Inhibition
- Machine Learning in Materials Science
Papers in
-
- Corrosion Behavior and Inhibition 18
- Machine Learning in Materials Science 13
- Material Properties and Failure Mechanisms 6
-
- Quantum Computing Algorithms and Architecture 5
- Co-authors
- Muhamad Akrom (32 shared papers)Hermawan Kresno Dipojono (29 shared papers)De Rosal Ignatius Moses Setiadi (13 shared papers)Guruh Fajar Shidik (15 shared papers)Abdul Syukur (7 shared papers)Pulung Nurtantio Andono (12 shared papers)T. Sutojo (16 shared papers)Adhitya Gandaryus Saputro (4 shared papers)
In The Last Decade
Supriadi Rustad
54 papers receiving 904 citations
Peers
Comparison fields: 5 of 88
- Metals and Alloys 136
- Materials Chemistry 428
- Computer Vision and Pattern Recognition 183
- Artificial Intelligence 265
- Civil and Structural Engineering 153
Countries citing papers authored by Supriadi Rustad
This map shows the geographic impact of Supriadi Rustad'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 Supriadi Rustad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supriadi Rustad more than expected).
Fields of papers citing papers by Supriadi Rustad
This network shows the impact of papers produced by Supriadi Rustad. 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 Supriadi Rustad. The network helps show where Supriadi Rustad may publish in the future.
Co-authors
The 25 scholars most cited alongside Supriadi Rustad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 121 | |
| 2 | 2022 | 95 | |
| 3 | 2023 | 84 | |
| 4 | 2021 | 59 | |
| 5 | 2018 | 54 | |
| 6 | 2023 | 48 | |
| 7 | 2023 | 43 | |
| 8 | 2023 | 43 | |
| 9 | 2023 | 38 | |
| 10 | 2024 | 31 | |
| 11 | 2024 | 30 | |
| 12 | 2023 | 28 | |
| 13 | 2024 | 27 | |
| 14 | 2024 | 21 | |
| 15 | 2024 | 20 | |
| 16 | 2024 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2024 | 13 | |
| 19 | 2023 | 10 | |
| 20 | 2024 | 10 |
About Supriadi Rustad
Supriadi Rustad is a scholar working on Materials Chemistry, Artificial Intelligence, Civil and Structural Engineering, Computer Vision and Pattern Recognition and Metals and Alloys, having authored 67 papers that have together received 936 indexed citations. Recurring topics across this work include Corrosion Behavior and Inhibition (18 papers), Concrete Corrosion and Durability (14 papers), Machine Learning in Materials Science (13 papers), Chaos-based Image/Signal Encryption (8 papers), Hydrogen embrittlement and corrosion behaviors in metals (8 papers), Material Properties and Failure Mechanisms (6 papers), Advanced Steganography and Watermarking Techniques (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). The work is most often cited by research in Metals and Alloys (136 citations), Materials Chemistry (428 citations), Computer Vision and Pattern Recognition (183 citations), Artificial Intelligence (265 citations) and Civil and Structural Engineering (153 citations). Supriadi Rustad has collaborated with scholars based in Indonesia, Japan and Vietnam. Frequent co-authors include Muhamad Akrom, Hermawan Kresno Dipojono, De Rosal Ignatius Moses Setiadi, Guruh Fajar Shidik, Abdul Syukur, Pulung Nurtantio Andono, T. Sutojo, Adhitya Gandaryus Saputro, Edi Noersasongko and Heru Agus Santoso. Their work appears in journals such as Computational Materials Science, Intelligent Systems with Applications, Theoretical Chemistry Accounts, Journal of King Saud University - Computer and Information Sciences and Applied Surface Science.
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.