Quan M. Bui
- Environmental Engineering top 10%
- Mechanical Engineering
- Computational Mechanics top 10%
- Economics and Econometrics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jessika E. TrancikJ. Doyne FarmerBéla NagyDaniel Osei-KuffuorJoshua A. WhiteNicola CastellettoN. MakedonskaScott Painter
- Topics
- Advanced Numerical Methods in Computational Mathematics (5 papers)Advanced Mathematical Modeling in Engineering (5 papers)Enhanced Oil Recovery Techniques (3 papers)
- Journals
- PLoS ONEJournal of Computational PhysicsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- United StatesJapanVietnam
In The Last Decade
Quan M. Bui
12 papers receiving 420 citations
Peers
Comparison fields: 5 of 93
- Environmental Engineering 142
- Mechanical Engineering 101
- Computational Mechanics 92
- Economics and Econometrics 72
- Computational Theory and Mathematics 65
Countries citing papers authored by Quan M. Bui
This map shows the geographic impact of Quan M. Bui'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 Quan M. Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan M. Bui more than expected).
Fields of papers citing papers by Quan M. Bui
This network shows the impact of papers produced by Quan M. Bui. 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 Quan M. Bui. The network helps show where Quan M. Bui may publish in the future.
Co-authorship network of co-authors of Quan M. Bui
This figure shows the co-authorship network connecting the top 25 collaborators of Quan M. Bui. A scholar is included among the top collaborators of Quan M. Bui 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 Quan M. Bui. Quan M. Bui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 18 | |
| 6 | 28 | |
| 7 | 48 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 17 | |
| 11 | 87 | |
| 12 | 191 | |
| 13 | Forecasting technological innovation | 1 |
About Quan M. Bui
Quan M. Bui is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Ocean Engineering, having authored 13 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (5 papers), Advanced Mathematical Modeling in Engineering (5 papers) and Enhanced Oil Recovery Techniques (3 papers). The work is most often cited by research in Environmental Engineering (142 citations), Computational Mechanics (92 citations) and Computational Theory and Mathematics (65 citations). Quan M. Bui has collaborated with scholars based in United States, Japan and Vietnam. Frequent co-authors include Jessika E. Trancik, J. Doyne Farmer, Béla Nagy, Daniel Osei-Kuffuor, Joshua A. White, Nicola Castelletto, N. Makedonska, Scott Painter, Carl W. Gable and Satish Karra. Their work appears in journals such as PLoS ONE, Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering.
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.