Maximum number of linearly independent eigenvectors of a matrix

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Is there an upper bound on the number of linearly independent eigenvectors of any matrix ?

At best how many independent eigenvectors can a matrix have?

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For an $n \times n$ matrix with coefficients in a field $\mathbb{K}$, you can have at most $n$ linearly independent eigenvectors. An eigenvector being an element of $\mathbb{K}^n$, you cannot have more than $n$ linearly independent eigenvectors.

Conversely, you can easily construct a matrix which has exactly $n$ linearly independent eigenvectors : the identity $I_n$.