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.
Hint:
- An easy approach is to sort the array first.
- What are the possible values of h-index?
- A faster approach is to use extra space.
给出一个数组记录一个研究者各篇文章的引用数,写一个函数计算这个研究者的H指数。H指数是一个2005年由Jorge E. Hirsch提出的用于评估研究人员的学术产出数量与学术产出水平的指标。给定一个整数序列 citations=[3,0,6,1,5],代表研究人员共有5篇论文,每个元素代表该论文的引用数量。从序列元素可以看出,例子
[3,0,6,1,5]
,很明显H的取值范围是0到5。该研究人员有至少3篇论文引用数量为>=3的,其余2篇论文引用数量不足3个引用,所以返回他的 h−index=3;
其实就是给你一个数组,找到一个最大的N,其中在数组中有N个元素大于等于N.
方法一:进行排序
public int hIndex(int[] citations) {
Arrays.sort(citations);
int len = citations.length;
for (int i = 0; i < len; i++) {
if (citations[i] >= len - i)
return len - i;
}
return 0;
}
方法二:O(n),具体思路看代码。
public int hIndex2(int[] citations) {
int len = citations.length;
int[] count = new int[len + 1];
for (int citation : citations) {
if (citation >= len) count[len]++;
else count[citation]++;
}
int sum = 0;
for (int i = len; i >= 0; i--) {
sum += count[i];
if (sum >= i) return i;
}
return 0;
}