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News
May 14, 2026
Resource Race and Green Transition: Three Unexpected Conclusions from Foresight Centres Research on Climate and Poverty
Beneath the surface of green energy—which most people associate with solar panels, electric vehicles, and reduced CO2 emissions—lies a complex web of geopolitical interests, international inequality, and resource constraints. Researchers from the Laboratory for Science and Technology Studies (LST) at the HSE ISSEK Foresight Centre have published a series of articles in leading international journals on hidden and overt conflicts surrounding critically important metals and minerals, as well as related processes in the energy sector.
May 13, 2026
Immersion in Second Language Environment Influences Bilinguals Perception of Emotions
Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.
May 12, 2026
‘Any Real-Economy Company Can Use Our Products
The HSE Centre for Financial Research and Data Analytics combines fundamental and applied work, including in areas unique to Russia such as the connection between sentiment in the media and social networks and financial markets. The HSE News Service spoke with the centre’s director, Professor Tamara Teplova, about its work.

 

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With or without h-index? Comparing aggregates of rankings based on seven popular bibliometric indicators

P. 1135–1143.
Subochev A., Pislyakov V.

We apply five majority-rule-based ordinal ranking methods to data on economic, management
and political science journals in order to produce aggregate journal rankings. First, we
calculate aggregates for the set of rankings based on seven popular bibliometric indicators
(impact factor, 5-year impact factor, immediacy index, article influence score, h-index, SNIP
and SJR). Then, we exclude the Hirsch index and repeat the calculations. We perform the
comparative correlation analysis of the aggregates and the initial rankings. We use two rank
measures of correlation, Kendall’s tau-b and the share of coinciding pairs r. The analysis
demonstrates that aggregate rankings represent the set of single-indicator-based rankings
better than any of the seven rankings themselves. Among the single-indicator-based rankings
themselves, the best representations of their set are produced by the 5-year impact factor. The
least representative are rankings based on the immediacy index. The exclusion of the Hirsch
index from the set of indicators does not change these results.

Language: English
Full text
Text on another site
Keywords: aggregate rankingагрегирование рейтинговbibliometricsh-indexh-индекс
Publication based on the results of:
Modern context of decision making and data analysis methods: human factor, uncertainty, risks, network models, big data (2018)

In book

STI 2018 Conference Proceedings. Proceedings of the 23rd International Conference on Science and Technology Indicators
Leiden: Universiteit Leiden - CWTS, 2018.
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