Oleg Gaidai
-
- Probabilistic and Robust Engineering Design 41
- Ocean Engineering top 0.1%
- Ship Hydrodynamics and Maneuverability 35
- Wave and Wind Energy Systems 25
- Environmental Engineering top 0.5%
- Wind and Air Flow Studies 45
- Modeling and Simulation top 0.5%
- Earth-Surface Processes top 1%
-
- Structural Integrity and Reliability Analysis 63
-
- Structural Health Monitoring Techniques 30
-
- Ocean Waves and Remote Sensing 29
-
- Fluid Dynamics and Vibration Analysis 22
- Journals
- SHILAP Revista de lepidopterología (15 papers)PLoS ONE (1 paper)Scientific Reports (9 papers)
In The Last Decade
Oleg Gaidai
210 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Statistics, Probability and Uncertainty 1.1k
- Ocean Engineering 2.0k
- Environmental Engineering 1.2k
- Modeling and Simulation 370
- Earth-Surface Processes 535
Countries citing papers authored by Oleg Gaidai
This map shows the geographic impact of Oleg Gaidai'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 Oleg Gaidai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oleg Gaidai more than expected).
Fields of papers citing papers by Oleg Gaidai
This network shows the impact of papers produced by Oleg Gaidai. 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 Oleg Gaidai. The network helps show where Oleg Gaidai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Oleg Gaidai, 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 | State-of-the-art Gaidai hypersurface reliability assessment for semi-submersible wind turbines, accounting for memory effectsbreakdown → | 2025 | 21 |
| 2 | 2025 | 0 | |
| 3 | Design prognostics for 4400 TEU container vessel by multi‐variate Gaidai reliability approachbreakdown → | 2025 | 24 |
| 4 | 2025 | 0 | |
| 5 | 2024 | 31 | |
| 6 | 2024 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 1 | |
| 9 | Gaidai multivariate risk assessment method for cargo ship dynamicsbreakdown → | 2024 | 48 |
| 10 | 2024 | 24 | |
| 11 | 2024 | 7 | |
| 12 | 2024 | 36 | |
| 13 | 2023 | 50 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 53 | |
| 16 | 2023 | 6 | |
| 17 | 2023 | 28 | |
| 18 | 2023 | 22 | |
| 19 | Global Cardiovascular Diseases Death Rate Predictionbreakdown → | 2023 | 205 |
| 20 | 2023 | 34 |
About Oleg Gaidai
Oleg Gaidai is a scholar working on Statistics, Probability and Uncertainty, Ocean Engineering and Environmental Engineering, having authored 217 papers that have together received 6.0k indexed citations. Recurring topics across this work include Structural Integrity and Reliability Analysis (63 papers), Wind and Air Flow Studies (45 papers), Probabilistic and Robust Engineering Design (41 papers), Ship Hydrodynamics and Maneuverability (35 papers), Structural Health Monitoring Techniques (30 papers), Ocean Waves and Remote Sensing (29 papers), Wave and Wind Energy Systems (25 papers) and Fluid Dynamics and Vibration Analysis (22 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Ocean Engineering (2.0k citations) and Environmental Engineering (1.2k citations). Oleg Gaidai has collaborated with scholars based in China, Norway and Russia. Frequent co-authors include Yihan Xing, Arvid Næss, Fang Wang, Yu Cao, Vladimir Yakimov, Yan Zhu, Zirui Liu, Chunyan Ji, Jinlu Sheng and Xiaosen Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.