14 citations as recorded by crossref.

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3. Optimal power and performance trade-offs for dynamic voltage scaling in power management based wireless sensor node A. Pughat & V. Sharma https://doi.org/10.1016/j.pisc.2016.06.013
4. Exploring the utility of quantitative network design in evaluating Arctic sea ice thickness sampling strategies T. Kaminski et al. https://doi.org/10.5194/tc-9-1721-2015
5. Empirical error functions for monthly mean Arctic sea‐ice drift H. Sumata et al. https://doi.org/10.1002/2015JC011151
6. High throughput parameter estimation and uncertainty analysis applied to the production of mycoprotein from synthetic lignocellulosic hydrolysates M. Banks et al. https://doi.org/10.1016/j.crfs.2024.100908
7. Uncertainty of Arctic summer ice drift assessed by high‐resolution SAR data H. Sumata et al. https://doi.org/10.1002/2015JC010810
8. Covariance of Optimal Parameters of an Arctic Sea Ice–Ocean Model H. Sumata et al. https://doi.org/10.1175/MWR-D-18-0375.1
9. An intercomparison of Arctic ice drift products to deduce uncertainty estimates H. Sumata et al. https://doi.org/10.1002/2013JC009724
10. An inverse method to derive surface fluxes from the closure of oceanic heat and water budgets: Application to the north‐western Mediterranean Sea G. Caniaux et al. https://doi.org/10.1002/2016JC012167
11. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al. https://doi.org/10.3390/rs15102537
12. Simultaneous Parameter Optimization of an Arctic Sea Ice–Ocean Model by a Genetic Algorithm H. Sumata et al. https://doi.org/10.1175/MWR-D-18-0360.1
13. Surface Radiative Flux Bias Reduction Through Regionally Varying Cloud Fraction Parameter Nudging in a Global Coupled Forecast System J. Ridout et al. https://doi.org/10.1029/2019MS002006
14. The Application of a Genetic Algorithm to the Optimization of a Mesoscale Model for Emergency Response D. Werth & R. Buckley https://doi.org/10.1175/JAMC-D-21-0107.1