gpntbНаучные и технические библиотекиScientific and Technical Libraries1027-36892686-8601Russian National Public Library for Science and Technology10.33186/1027-3689-2026-5-65-92gpntb-1748Research ArticleНАУКОМЕТРИЯ. БИБЛИОМЕТРИЯSCIENTOMETRICS. BIBLIOMETRICSСистематизация ограничений индекса Хирша как библиометрического показателяClassification of constraints of Hirsch index as a bibliometrical indicatorhttps://orcid.org/0000-0003-3791-0123СамоходкинЕ. В.SamokhodkinE. V.

Самоходкин Евгений Вячеславович – аспирант кафедры социологии,  психологии управления и истории

Москва

Evgeny V. Samokhodkin – postgraduate student, Management Sociology, Psychology and History Chair

Moscow

rodentforme@gmail.comhttps://orcid.org/0000-0003-3524-434XСамоходкинаА. А.SamokhodkinaA. A.

Самоходкина Алиса Андреевна – ведущий специалист Центра  маркетинговых исследований и перспективного планирования

Москва

Alisa A. Samokhodkina – Leading Specialist, Center for Marketing Studies and Prospect Planning

Moscow

alisaelzon@gmail.comhttps://orcid.org/0000-0002-3162-3097СамоходкинаЕ. Г.SamokhodkinaE. G.

Самоходкина Елена Геннадьевна – главный специалист Группы базы данных Отдела информационных ресурсов

Москва

Elena G. Samokhodkina – Chief Specialist, Database Group, Information Resources Department

Moscow

slava-eugen@yandex.ruГосударственный университет управленияРоссияState University of ManagementRussian FederationВИНИТИ РАНРоссияRAS All-Russian Institute for Scientific and Technical InformationRussian Federation202611062026156592Copyright © Самоходкин Е.В., Самоходкина А.А., Самоходкина Е.Г., 20262026Самоходкин Е.В., Самоходкина А.А., Самоходкина Е.Г.Samokhodkin E.V., Samokhodkina A.A., Samokhodkina E.G.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://ntb.gpntb.ru/jour/article/view/1748

Данная статья посвящена систематизации ограничений индекса Хирша как библиометрического индикатора в условиях современной научно-информационной экосистемы. Актуальность темы обусловлена ростом зависимости кадровых, грантовых и институциональных решений от количественных метрик при одновременном формировании норм ответственного оценивания в рамках инициатив DORA и CoARA, а также изменением национальных регуляторных режимов. Цель исследования – систематизация и всесторонний анализ ключевых ограничений индекса Хирша и его модификаций, пригодный для использования в оценочных практиках научных и технических библиотек, исследовательских подразделений и экспертных советов. Методологически реализуется аналитический нарративный обзор с элементами обзора предметной области: на основе структурированного поиска в Web of Science, Scopus, Google Scholar, Crossref/OpenAlex и RSCI/ядре РИНЦ за 2020–2025 гг. анализируются рецензируемые наукометрические исследования, инфраструктурные отчеты и регулятивные документы, в которых индекс Хирша выступает центральным объектом рассмотрения. Путем тематико-количественной группировки и критического синтеза вторичных данных выделено три блока ограничений: метрико-методологический и реплицируемостный, инфраструктурно-этический и управленческо-регулятивный; показаны вариативность значений индекса Хирша в зависимости от используемой базы данных, волатильность значений индекса, чувствительность к самоцитированию, структуре соавторства, режимам открытого доступа, ретракциям и протокольным различиям поиска. На основании сопоставления международной и российской повестки формулируется операциональная схема ответственного применения индекса Хирша внутри многоиндикаторного досье, включающая требования к нормализации, учету авторских вкладов и прозрачности протоколов извлечения данных. Новизна данной работы заключается в интеграции разрозненных результатов недавних исследований в единую управленческую рамку, которая учитывает быстроменяющуюся инфраструктуру метаданных и специфику российского сегмента и тем самым расширяет инструментальный арсенал библиотечно-информационной аналитики.

Within the modern knowledge information ecosystem, the challenge of Hirsch index constraints clarification is relevant, particularly when the staffing, funding, and institutional decisions increasingly depend on quantitative metrics, and, at the same time, on emerging regulations of responsible assessment within the framework of DORA and CoARA initiatives and changing national regulative modes. The study purpose is to classify and to analyze thoroughly the key Hirsch index constraints and its modifications to be applied to assessment practices of science and specialized libraries, research divisions and expert boards. Methodologically, the authors accomplished the narrative review with the elements of knowledge domain review. Based on structured search in Web of Science, Scopus, Google Scholar, Crossref/OpenAlex and RSCI/core for 2020–2025, the authors analyze the peer-reviewed scientometrical studies, institutional reports, and regulative documents focused on Hirsch index. Through theme-quantitative grouping and critical synthesis of secondary data, the constraint groups are revealed, i.e. metric methodological and replicable, infrastructural ethical, and administrative regulative groups. The Hirsch index variability dependent on a database, index value volatility, sensitivity to self-citation, co-authorship, open access modes, retractions and retrieval protocol differences are demonstrated. Based on the comparison of the international and Russian agenda, the authors formulate the operational scheme of responsible Hirsch index application within the multitracer dossier comprising the normalization requirements, author contribution control, and data extraction proto col transparency. The originality of the study lies in the integration of separate research findings into the management framework to address the fast-changing metadata infrastructure and Russian segment character, thus expanding the instrumentality of library information analytics.

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The authors declare that there are no conflicts of interest present.