# 275_H_Index_II ###### tags: `leetcode` ## Problem Statement Given an array of citations sorted in ascending order (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." - Example: > 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, her h-index is 3. - Note: > If there are several possible values for h, the maximum one is taken as the h-index. - Follow up: > This is a follow up problem to H-Index, where citations is now guaranteed to be sorted in ascending order. > Could you solve it in logarithmic time complexity? ## Solution - I use ```binary search``` solution with ```higher bound``` and ```lower bound```. ```cpp= int s= citations.size(), h= s, l= 0, m; ``` - The condition for sustaining the searching is that the number in the array in the position of the contrary of the index should not be less than the original value. - Once the condition is satisfied, move the lower bound as the condition - Otherwise, shift the upper bound ```cpp= while (l< h) { m= (h+ l+ 1)/ 2; if (m<= citations[s- m]) l= m; else h= m- 1; } ``` - After the lower and upper bound meet, return the last lower bound as the answer. ```cpp= return l; ```