The table below shows the most common keywords used by the author. The letters in brackets after some keywords denote if the keyword corresponds to Solar Physics (S) or Heliospheric Physics (H).
| Keyword
| Occurrences
|
|---|
| Bayesian Hierarchical Model
| 3
|
| Extreme Temperature
| 3
|
| Gev Distribution
| 2
|
| Liquid Bridge
| 2
|
| Generalized Extreme Value Distribution
| 2
|
| Gaussian Copula
| 2
|
| Sunspots [S]
| 2
|
| Extreme Value Theory
| 2
|
| Sun: Sunspots
| 1
|
| Sun: Statistics
| 1
|
| Sun: Solar Radio Flux
| 1
|
| Sun: Solar Cycle
| 1
|
| Sun: Models
| 1
|
| Sun: General
| 1
|
| Sun: Galactic
| 1
|
| Sun: Extreme Values
| 1
|
| Sun: Cosmic Rays
| 1
|
| Sun: Activity
| 1
|
| Solid Support
| 1
|
| Rotating Fluids
| 1
|
| Return Levels
| 1
|
| Return Level
| 1
|
| Regional Climate Model
| 1
|
| Peak Over Threshold
| 1
|
| One-dimensional Models
| 1
|
| Numerical Approximation And Analysis
| 1
|
| Multi-day Rainfall Series
| 1
|
| Methods: Data Analysis
| 1
|
| Max-stable Process
| 1
|
| Linear Dynamics
| 1
|
| Iberian Peninsula
| 1
|
| Heat Waves
| 1
|
| Fluid Configuration
| 1
|
| Finite-difference Methods
| 1
|
| Extreme Temperature Events
| 1
|
| Extreme Rainfall
| 1
|
| Equilibrium Shape
| 1
|
| Climate Projection
| 1
|
| 02.60.-x
| 1
|
| Trends
| 1
|
| Trend
| 1
|
| The Shape Parameter Obtained From The Fit Of The Generalized Pareto Distribution To The Extreme Va
| 1
|
| The Results Show That Previous Registered Extreme Storms Could Be Considered As The
| 1
|
| The Estimation Of This Limit For The Extreme Values Lead To 850 Nt As The Highest Expected
| 1
|
| Surface Tension And Related Phenomena
| 1
|
| Support Shape
| 1
|
| Astrophysics - Solar And Stellar Astrophysics [S]
| 1
|
| 68.03.cd
| 1
|
| 47.35.+i
| 1
|
| 47.32.-y
| 1
|
| 02.70.bf
| 1
|
| Vortex Dynamics
| 1
|