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Given an array of integers citations
where citations[i]
is the number of citations a researcher received for their ith
paper and citations
is sorted in an ascending order, return compute the researcher's h
-index.
According to the definition of h-index on Wikipedia: A scientist has an index h
if h
of their n
papers have at least h
citations each, and the other n − h
papers have no more than h
citations each.
If there are several possible values for h
, the maximum one is taken as the h
-index.
Example 1:
Input: citations = [0,1,3,5,6]
Output: 3
Explanation: [0,1,3,5,6] means the researcher has 5 papers in total and each of them had received 0, 1, 3, 5, 6 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, their h-index is 3.
Example 2:
Input: citations = [1,2,100]
Output: 2
Constraints:
n == citations.length
1 <= n <= 105
0 <= citations[i] <= 1000
citations
is sorted in ascending order.
Follow up: Could you solve it in logarithmic time complexity?
[Binary Search]
Similar Questions
- H-Index (Medium)
Hints
Hint 1
Expected runtime complexity is in O(log n) and the input is sorted.