Lavi Rizki Zuhal
- Statistics, Probability and Uncertainty top 2%
- Computational Theory and Mathematics top 5%
- Civil and Structural Engineering top 10%
- Aerospace Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Pramudita Satria PalarKoji ShimoyamaRhea P. LiemTakeshi TsuchiyaW.M. BeltmanJ. E. ShepherdMorteza GharibIchsan Setya Putra
- Topics
- Advanced Multi-Objective Optimization Algorithms (27 papers)Probabilistic and Robust Engineering Design (22 papers)Fluid Dynamics and Vibration Analysis (13 papers)
- Cited by
- Statistics, Probability and UncertaintyComputational Theory and MathematicsManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaJournal of Fluid MechanicsJournal of Computational Physics
In The Last Decade
Lavi Rizki Zuhal
49 papers receiving 451 citations
Peers
Comparison fields: 5 of 75
- Statistics, Probability and Uncertainty 163
- Computational Theory and Mathematics 144
- Civil and Structural Engineering 117
- Aerospace Engineering 104
- Computational Mechanics 81
Countries citing papers authored by Lavi Rizki Zuhal
This map shows the geographic impact of Lavi Rizki Zuhal'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 Lavi Rizki Zuhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lavi Rizki Zuhal more than expected).
Fields of papers citing papers by Lavi Rizki Zuhal
This network shows the impact of papers produced by Lavi Rizki Zuhal. 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 Lavi Rizki Zuhal. The network helps show where Lavi Rizki Zuhal may publish in the future.
Co-authorship network of co-authors of Lavi Rizki Zuhal
This figure shows the co-authorship network connecting the top 25 collaborators of Lavi Rizki Zuhal. A scholar is included among the top collaborators of Lavi Rizki Zuhal 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 Lavi Rizki Zuhal. Lavi Rizki Zuhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 45 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 24 | |
| 20 | 9 |
About Lavi Rizki Zuhal
Lavi Rizki Zuhal is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Computational Mechanics, having authored 59 papers that have together received 465 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (27 papers), Probabilistic and Robust Engineering Design (22 papers) and Fluid Dynamics and Vibration Analysis (13 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (163 citations), Computational Theory and Mathematics (144 citations) and Management Science and Operations Research (80 citations). Lavi Rizki Zuhal has collaborated with scholars based in Indonesia, Japan and Vietnam. Frequent co-authors include Pramudita Satria Palar, Koji Shimoyama, Rhea P. Liem, Takeshi Tsuchiya, W.M. Beltman, J. E. Shepherd, Morteza Gharib, Ichsan Setya Putra, Tomomi Uchiyama and Tatacipta Dirgantara. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Fluid Mechanics and Journal of Computational Physics.
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.