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Simple formula to calculation of the h-index
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def hIndex(citations): | |
""" | |
https://github.com/kamyu104/LeetCode/blob/master/Python/h-index.py | |
:type citations: List[int] | |
:rtype: int | |
# Given an array of citations (each citation is a non-negative integer) | |
# of a researcher, write a function to compute the researcher's h-index. | |
# | |
# According to the definition of h-index on Wikipedia: | |
# "A scientist has index h if h of his/her N papers have | |
# at least h citations each, and the other N − h papers have | |
# no more than h citations each." | |
# | |
# For example, given citations = [3, 0, 6, 1, 5], | |
# which means the researcher has 5 papers in total | |
# and each of them had received 3, 0, 6, 1, 5 citations respectively. | |
# Since the researcher has 3 papers with at least 3 citations each and | |
# the remaining two with no more than 3 citations each, his h-index is 3. | |
# | |
# Note: If there are several possible values for h, the maximum one is taken as the h-index. | |
""" | |
return sum(x >= i + 1 for i, x in enumerate(sorted( list(citations), reverse=True))) |
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See:https://en.wikipedia.org/wiki/H-index#Calculation.
R implementation: https://stackoverflow.com/a/56245343/2268280