New Ranking of Journals

繼計算研究者影響力的 h-index 之後，又有人推出新的 Journal Impact Factor 計算指標：Eigenfactor

Ref.: Eigenfactor (Why Oh Why Can't We Have a Better Academic Publishing System? Dept.)

Now, you could say this is just another reason why we shouldn't try to rank journals. But there are times when doing things like this is going to be very helpful, e.g. when trying to decide which journals to spend a limited subscription budget on. So it would be nice if there was a way of doing something like this, which corrected for problems like the differences in citation customs across academic tribes.

Ref.: The Geomblog: On ranking journals

Suresh 藉由 Eigenfactor 的方法排出來的理論計算機期刊排名。

• SIAM Review: 98.35
• J. ACM: 97.91
• IEEE Trans. Inf. Theory: 95.05
• Machine Learning: 93.92
• SICOMP: 93.04
• JCSS: 90.93
• Journal of Algorithms: 90.31*
• DCG: 85.29
• CGTA: 81.96
• Algorithmica: 79.13

另附上 JCR 的 IF (Impact factor) 值的排名，看看差了多少：
# ACM Computing Surveys -- IF 10.037
# SIAM Review -- IF 6.118
# Journal of Computational Biology -- IF 3.241
# Journal of the ACM -- IF 2.414
# Computational Complexity -- IF 2.000
# Foundations of Computational Mathematics -- IF 1.500
# SIAM Journal on Computing -- IF 1.306
# Journal of Complexity -- IF 1.186
# Information and Computation -- IF 1.053
# Journal of Computer and System Sciences -- IF 1.030