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June 2, 2026
HSE Study Reveals Imbalance in the Generative AI Market
Researchers at HSE University analysed how effectively the global generative artificial intelligence market converts investment into real revenue, concluding that AI is currently developing faster than it is paying off. The results have been published in the journal Foresight and STI Governance.
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On May 23, 2026, the V International Scientific and Practical Conference ‘Discovering the World of Science’ took place in Kazan at the Preparatory Faculty for International Students of Kazan Federal University. Four students of the HSE International Preparatory Year took part in the event: two delivered their presentations in person, while two participated online. Their work was supervised by Acting Director of the International Prep Year Irina Isaeva and lecturer Ekaterina Kozhemyakova.
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Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.

 

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"I'd like to publish in Q1, but there's no Q1 to be found": Study of journal quartile distributions across subject categories and topics

Journal of Informetrics. 2024. Vol. 18. No. 1. Article 101494.
Kosyakov D., Pislyakov V.

The choice to focus on a journal's impact factor, or its quartile, in authoritative rankings, when deciding where to publish research results can be driven by various reasons. These may include personal prestige, enhancing the appeal of a CV, the desire to increase publication-related rewards, meeting the conditions of scientific funds, or fulfilling qualification requirements. While these considerations deviate from the “pure science” perspective, the fact is that they are widely adopted. Our research demonstrates that the conventional division into journal quartiles may privilege certain disciplinary categories while disadvantaging others. Disciplinary categories in Journal Citation Reports (JCR) and similar rankings are imbalanced in terms of the number of articles across different journal quartiles. This is attributable to three factors: the distribution of journals across quartiles, the varying volume of journals, and the selection of the highest quartile when journals are categorized under multiple disciplines. Narrower research areas, such as Topic Clusters from SciVal, may completely lack Q1 journals dedicated to them, or even any such journals at all. This finding might also interest publishers when selecting topics for launching new titles. The apparent inequality between disciplines unveiled in our study offers a new perspective to argue against the use of quartile metrics, at least in a straightforward manner, when evaluating performance and shaping science policies.

Research target: Social Sciences Computer Science
Language: English
Full text
DOI
Keywords: Journal Citation Reportsимпакт-факторimpact factorтематические кластерыJournal Citation Reports (JCR)journal rankingквартильранжирование журналовquartilesранговые методыSciValTopic ClustersSciVal
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