18 citations as recorded by crossref.

1. 10-year high resolution study of wind, sea waves and wave energy assessment in the Greek offshore areas G. Emmanouil et al. https://doi.org/10.1016/j.renene.2016.01.031
2. A hybrid Bayesian Kalman filter and applications to numerical wind speed modeling G. Galanis et al. https://doi.org/10.1016/j.jweia.2017.04.007
3. Implementation of altimeter data assimilation on a regional wave forecasting system and its impact on wave and swell surge forecast in the Indian Ocean M. Seemanth et al. https://doi.org/10.1016/j.oceaneng.2021.109585
4. Wave height characteristics in the north Atlantic ocean: a new approach based on statistical and geometrical techniques G. Galanis et al. https://doi.org/10.1007/s00477-011-0540-2
5. Numerical Wave Modelling – A Review T. Thomas & G. Dwarakish https://doi.org/10.1016/j.aqpro.2015.02.059
6. Acquisition of the Significant Wave Height From CFOSAT SWIM Spectra Through a Deep Neural Network and Its Impact on Wave Model Assimilation J. Wang et al. https://doi.org/10.1029/2020JC016885
7. Ensemble-based data assimilation to improve wind-wave field in the Bay of Bengal T. A. et al. https://doi.org/10.1007/s10236-025-01744-w
8. The Wide Swath Significant Wave Height: An Innovative Reconstruction of Significant Wave Heights From CFOSAT’s SWIM and Scatterometer Using Deep Learning J. Wang et al. https://doi.org/10.1029/2020GL091276
9. A new methodology for using buoy measurements in sea wave data assimilation G. Emmanouil et al. https://doi.org/10.1007/s10236-010-0328-9
10. The Assimilation of Jason-2 Significant Wave Height Data in the North Indian Ocean Using the Ensemble Optimal Interpolation P. Qi & L. Cao https://doi.org/10.1109/TGRS.2015.2456035
11. A background error covariance model of significant wave height employing Monte Carlo simulation Y. Guo et al. https://doi.org/10.1007/s00343-012-1278-5
12. Wave energy potential in the Eastern Mediterranean Levantine Basin. An integrated 10-year study G. Zodiatis et al. https://doi.org/10.1016/j.renene.2014.03.051
13. Wave height characteristics in the Mediterranean Sea by means of numerical modeling, satellite data, statistical and geometrical techniques G. Galanis et al. https://doi.org/10.1007/s11001-011-9142-0
14. Establishment and tests of EnOI assimilation module for WAVEWATCH III P. Qi & L. Cao https://doi.org/10.1007/s00343-015-4282-8
15. Wave energy assessment using SWIM radar and high-resolution altimeter data M. Panfilova et al. https://doi.org/10.1016/j.ecmx.2026.101971
16. Combination of statistical Kalman filters and data assimilation for improving ocean waves analysis and forecasting G. Emmanouil et al. https://doi.org/10.1016/j.ocemod.2012.09.004
17. A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications X. Larsén et al. https://doi.org/10.1016/j.renene.2015.01.069
18. Impact of assimilating satellite and in-situ buoy observed significant wave height on a regional wave forecasting system in the Indian Ocean M. Seemanth et al. https://doi.org/10.1007/s12040-024-02359-3