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In case you were highlighting the person's h-index or citation count, there are a few shortcomings that these metrics suffer from [1], making it very hard to judge scientific impact.

EDIT:

Specifically, self-citation is the biggest issue, though often there are very good reasons to do it. For example, if you are working on a new area there might not be a lot of work other than yours. However, mindless self-citation grows the number of citation at O(N), as your n^th paper cites the (n - 1) papers before it. The total citation count grows by O(N^2)).

[1] https://www.nature.com/articles/d41586-019-02479-7

My h index is twice as high and that's a terrible h index still lol

This person's h-index is 10x yours: https://scholar.google.com/citations?user=OHbcFkcAAAAJ&hl=en...!

Source: https://www.nature.com/articles/d41586-019-02479-7

Ahaha. I should try harder.

That's not a particularly impressive publication record.

OK, I took a look, no evidence of neural nets, just semantic stuff which is previous gen AI and the citation count is not impressive.