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News
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.
October 5, 2026
‘The Climate Transition Is Not Necessarily a Limitation for Business
Linara Khadimullina works in the field of low-carbon development. In an interview with the Young Scientists of HSE project, she spoke about why nature is not just a beautiful backdrop, her research on the role of sustainable corporate governance in reducing greenhouse gas emissions, and growing plants as a source of inspiration.

 

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Ranking Journals in Economics, Management and Political Sciences by the Threshold Aggregation Procedure

NRU Higher School of Economics , 2014. No. 73.
Aleskerov F. T., Vladimir V. Pislyakov, Timur V. Vitkup
An analysis of journal rankings based on five commonly used bibliometric indicators (impact factor, article influence score, Source Normalized Impact per Paper, SCImago Journal Rank, and the Hirsch index) has been conducted. It is shown that despite a high correlation, these single indicator-based rankings are not identical. Therefore, a new approach to ranking academic journals is proposed based on the aggregation of single bibliometric indicators using threshold aggregation. The main property of this procedure is its non-compensability, which reduces opportunities for manipulation.
Research target: Economics and Management Political Science, International Relations, and Public Administration Computer Science Sociology (including Demography and Anthropology
Priority areas: economics sociology management IT and mathematics
Language: English
Full text
Text on another site
Keywords: Bibliometricsбиблиометрияjournal rankingрейтинг научных журналовthreshold aggregationпороговое агрегирование
Publication based on the results of:
Построение рейтингов методами коллективного выбора (2013)
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