Bibliometric measures of individual scientific achievement are of particular interest if they can be used to predict future achievement. Here we report results of an empirical study of the predictive power of the h index compared with other indicators. Our findings indicate that the h index is better than other indicators considered (total citation count, citations per paper, and total paper count) in predicting future scientific achievement. We discuss reasons for the superiority of the h index.

Does the H index have predictive power

http://eprints.rclis.org/13282/1/hIndexReviewAlonsoCabrerizoHerrera-Viedma.pdf

h-Index: A review focused in its variants, computation and standardization for different scientific fields

The rapid development of digital libraries and the proliferation of scholarly big data have created an unprecedented opportunity to explore scientific production and reward at scale. Fueled by the data exploration and computational advances in digital libraries, the science of science is an emerging multidisciplinary field that aims to quantify patterns for scientific relationships and dependencies, and how scientific progress emerges from the scholarly big data. In this tutorial, we will provide an overview of the science of science, including major topics on scientific careers, scientific collaborations and scientific ideas. We will also discuss its historical context, the state-of-art models and exciting discoveries, and promising future directions for participants interested in mining scholarly big data.

The Science of Science

https://kar.kent.ac.uk/46884/1/1501.05462.pdf0.pdf

A review of theory and practice in scientometrics

Identifying influential nodes in dynamical processes is crucial in understanding network structure and function. Degree, H-index and coreness are widely used metrics, but previously treated as unrelated. Here we show their relation by constructing an operator , in terms of which degree, H-index and coreness are the initial, intermediate and steady states of the sequences, respectively. We obtain a family of H-indices that can be used to measure a node's importance. We also prove that the convergence to coreness can be guaranteed even under an asynchronous updating process, allowing a decentralized local method of calculating a node's coreness in large-scale evolving networks. Numerical analyses of the susceptible-infected-removed spreading dynamics on disparate real networks suggest that the H-index is a good tradeoff that in many cases can better quantify node influence than either degree or coreness.

/pdf/the-h-index-of-a-network-node-and-its-relation-to-degree-and-5a4n00ispm.pdf

The H-index of a network node and its relation to degree and coreness

把 R-andAR 索引基于我们介绍并且学习的 h 索引打的基础。这些新索引消除一些 h 索引的劣势，特别当他们与 h 索引在联合被使用时。R 索引测量 h-core 的引证紧张，当 AR 去时进一步的一个步骤并且花出版物的很长时间进报道。这允许能实际上随着时间的过去增加并且减少的一个索引。我们建议对(h， AR ) 作为为研究评估的有意义的指示物。我们进一步证明尽最大努力描绘 h 索引的一种关系是法律模型。

BiHui

Papers

The R- and AR-indices： Complementing the h-index