John V. Ringwood
Impact in
- Ocean Engineering top 0.01%
- Wave and Wind Energy Systems
- Earth-Surface Processes top 0.2%
- Coastal and Marine Dynamics
Papers in
-
- Wave and Wind Energy Systems 265
-
- Coastal and Marine Dynamics 65
- Co-authors
- Francesco FuscoMarkel PeñalbaJosh DavidsonGiuseppe GiorgiNicolás FaedoGiorgio BacelliAlexis MérigaudChristian Windt
In The Last Decade
John V. Ringwood
388 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Ocean Engineering 5.8k
- Earth-Surface Processes 1.6k
- Computational Mechanics 2.7k
- Numerical Analysis 476
- Aerospace Engineering 1.9k
Countries citing papers authored by John V. Ringwood
This map shows the geographic impact of John V. Ringwood'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 John V. Ringwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John V. Ringwood more than expected).
Fields of papers citing papers by John V. Ringwood
This network shows the impact of papers produced by John V. Ringwood. 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 John V. Ringwood. The network helps show where John V. Ringwood may publish in the future.
Co-authors
The 25 scholars most cited alongside John V. Ringwood, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 14 | |
| 17 | Parameterisation of Radiation Forces for a Multiple Degree-of-Freedom Wave EnergyConverter Using Moment-Matching | 2019 | 2 |
| 18 | Moment-based parametric identification of arrays of wave energy converters | 2019 | 3 |
| 19 | Quantification of the Prediction
\nRequirements in Reactive Control of Wave
\nEnergy Converters | 2011 | 4 |
| 20 | Measurement of air exchange time in a mushroom tunnel | 1999 | 1 |
About John V. Ringwood
John V. Ringwood is a scholar working on Ocean Engineering, Earth-Surface Processes, Numerical Analysis, Computational Mechanics and Control and Systems Engineering, having authored 400 papers that have together received 7.9k indexed citations. Recurring topics across this work include Wave and Wind Energy Systems (265 papers), Fluid Dynamics and Vibration Analysis (99 papers), Wind Energy Research and Development (66 papers), Coastal and Marine Dynamics (65 papers), Ocean Waves and Remote Sensing (37 papers), Numerical methods for differential equations (31 papers), Frequency Control in Power Systems (30 papers) and Advanced Numerical Methods in Computational Mathematics (26 papers). The work is most often cited by research in Ocean Engineering (5.8k citations), Earth-Surface Processes (1.6k citations), Computational Mechanics (2.7k citations), Numerical Analysis (476 citations) and Aerospace Engineering (1.9k citations). John V. Ringwood has collaborated with scholars based in Ireland, Italy and Argentina. Frequent co-authors include Francesco Fusco, Markel Peñalba, Josh Davidson, Giuseppe Giorgi, Nicolás Faedo, Giorgio Bacelli, Alexis Mérigaud, Christian Windt, Bingyong Guo and Yerai Peña‐Sanchez. Their work appears in journals such as IEEE Transactions on Sustainable Energy, Ocean Engineering, Journal of Ocean Engineering and Marine Energy, Energies and Renewable Energy.
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.