4 ms·
> An armchair effort Given the authors credentials and publication history [1] it's a bit disingenuous to call this an 'armchair effort'. [1] https://scholar.
by criticaltinker 5y ago
> An armchair effort
Given the authors credentials and publication history [1] it's a bit disingenuous to call this an 'armchair effort'.
[1] https://scholar.google.com/citations?user=i5sEc1YAAAAJ&hl=en&oi=ao https://scholar.google.com/citations?user=i5sEc1YAAAAJ&hl=en...
- ppod 5y agoThat's not a particularly impressive publication record.
- mnky9800n 5y agoMy h index is twice as high and that's a terrible h index still lol
- axiom92 5y agoThis person's h-index is 10x yours: https://scholar.google.com/citations?user=OHbcFkcAAAAJ&hl=en&oi=ao https://scholar.google.com/citations?user=OHbcFkcAAAAJ&hl=en...! Source: https://www.nature.com/articles/d41586-019-02479-7 https://www.nature.com/articles/d41586-019-02479-7
- mnky9800n 5y agoAhaha. I should try harder.
- axiom92 5y agoIn 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 https://www.nature.com/articles/d41586-019-02479-7
- visarga 5y agoOK, I took a look, no evidence of neural nets, just semantic stuff which is previous gen AI and the citation count is not impressive.