Turing index:cross-domain and cross-generation metric of unraveling scholars’ impact in academic big data

Yuhang YAO; Junjie OU; Yang LI; Luoyi FU; Xinbing WANG; Guihai CHEN

doi:10.11959/j.issn.2096-0271.2019039

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Turing index:cross-domain and cross-generation metric of unraveling scholars’ impact in academic big data

TOPIC：ACADEMIC BIG DATA | 更新时间：2024-06-03

- Turing index:cross-domain and cross-generation metric of unraveling scholars’ impact in academic big data
- Big Data Research Vol. 5, Issue 5, Pages: 2019039-1(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019039
  CLC： TN929.5
- Online First：2019-09，
  
  Published：15 September 2019
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Yuhang YAO, Junjie OU, Yang LI, et al. Turing index:cross-domain and cross-generation metric of unraveling scholars’ impact in academic big data[J]. Big Data Research, 2019, 5(5): 2019039-1.
DOI：

Yuhang YAO, Junjie OU, Yang LI, et al. Turing index:cross-domain and cross-generation metric of unraveling scholars’ impact in academic big data[J]. Big Data Research, 2019, 5(5): 2019039-1. DOI： 10.11959/j.issn.2096-0271.2019039.

摘要

随着学术界规模的扩大，面对领域和年代的巨大差异，现有的衡量学者影响力的量化指标很难消除偏差，从而进行准确衡量。通过观察1865—2016年、310个领域、14 223 183位学者、126 438 664篇论文和533 556 856次引用的数据集，得出不同领域、不同年代的新增引用量分布均遵循幂律分布，因此提出图灵指数，通过归一化消除指数膨胀的影响，衡量学者的绝对影响力。通过对诺贝尔奖、菲尔兹奖、图灵奖等获得者的图灵指数的比较发现，尽管他们在领域和年代上存在很大差异，但是在各自领域却有着相似的影响力。图灵指数为跨领域、跨年代学者影响力评估提供了全新的思路，也为国内外学者影响力评估和基金审理提供了参考。

Abstract

Gauging the impact of scholars

despite numerous quantitative indicators proposed

remains hard thanks to nowadays gigantic and inflating academic networks accompanied by huge disparity among domains and generations.Data collected from 14 223 183 scholars

126 438 664 papers

533 556 856 references across 310 domains with a time spanning of year 1865 to 2016

suggest universe power-law distributed yearly increased citations of scholars across domains and generations.Turing index then eliminates the inflation via normalizing different scaling parameters in those power law distributions to assess the absolute domain impact of each scholar.Comparison of Turing index among renowned scholars like Nobel

Fields Medal and Turing laureates confirms their equal significance to their dedicated domains despite the vast domain discrepancies in generations and citations.Turing index provides a new way of thinking for cross-domain and cross-generation impact evaluation

and can provide reference for scholars’ impact assessment and national science foundations worldwide.

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