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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">gpntb</journal-id><journal-title-group><journal-title xml:lang="ru">Научные и технические библиотеки</journal-title><trans-title-group xml:lang="en"><trans-title>Scientific and Technical Libraries</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1027-3689</issn><issn pub-type="epub">2686-8601</issn><publisher><publisher-name>Russian National Public Library for Science and Technology</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33186/1027-3689-2022-3-85-104</article-id><article-id custom-type="elpub" pub-id-type="custom">gpntb-916</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ПРОБЛЕМЫ ИНФОРМАЦИОННОГО ОБЩЕСТВА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>PROBLEMS OF THE INFORMATION SOCIETY</subject></subj-group></article-categories><title-group><article-title>Самоцитирование и его влияние на оценку научной деятельности: обзор литературы. Часть II</article-title><trans-title-group xml:lang="en"><trans-title>Self-citation and its impact on research evaluation: Literature review. Part II</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4889-9858</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Писляков</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Pislyakov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Писляков Владимир Владимирович – кандидат физико-математических наук, заместитель директора библиотеки Национального исследовательского университета «Высшая школа экономики», член редколлегии «Journal of Informetrics»</p><p>Москва</p><p> </p></bio><bio xml:lang="en"><p>Vladimir V. Pislyakov – Cand. Sc. (Physics &amp; Mathematics), Deputy Director, Library, Higher School of Economics National Research University; Editorial Board Member, Journal of Informetrics</p><p>Moscow</p></bio><email xlink:type="simple">pislyakov@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Национальный исследовательский университет «Высшая школа экономики»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Higher School of Economics National Research University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>18</day><month>04</month><year>2022</year></pub-date><volume>0</volume><issue>3</issue><fpage>85</fpage><lpage>104</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Писляков В.В., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Писляков В.В.</copyright-holder><copyright-holder xml:lang="en">Pislyakov V.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ntb.gpntb.ru/jour/article/view/916">https://ntb.gpntb.ru/jour/article/view/916</self-uri><abstract><p>Представлен обзор литературы, посвящённой влиянию самоцитирования и возникающим от этого возможным искажениям при библиометрическом анализе. Вводится обобщённое определение самоцитирования и его частных вариантов: авторского, институционального, странового, журнального, дисциплинарного, издательского. Приведены формулы основных метрик самоцитирования – коэффициентов самоцитирования и самоцитируемости. Подробно рассмотрена мировая литература по авторскому, институциональному, страновому и журнальному самоцитированию. Обобщены текущие взгляды на роль и влияние самоцитирования при оценке научной деятельности. При аналитическом рассмотрении статей, посвящённых самоцитированию, выясняется, что у исследователей существует консенсус по ряду позиций, например: а) патологией является как гипертрофированное самоцитирование, так и его отсутствие; б) самоцитирование мало влияет на оценку крупных научных единиц, но может быть критическим при анализе отдельных учёных; в) влияние самоцитирования наиболее выражено у научных единиц со слабыми библиометрическими показателями, в то время как топовые учёные, организации, журналы и др. получают наибольшее число ссылок извне. Рассмотрено реагирование самих библиометрических инструментов и баз данных с целью корректировки индикаторов в случае манипулирования самоцитированием.</p><p>Вторая, заключительная часть обзора посвящена институциональному, страновому и журнальному самоцитированию, а также введению новых библиометрических индикаторов, так или иначе учитывающих наличие самоцитирования.</p></abstract><trans-abstract xml:lang="en"><p>This review summarizes papers which analyze the impact of self-citation on research evaluation. We introduce a generalized definition of self-citation and its variants: author, institutional, country, journal, discipline, and publisher selfcitation. Formulae of the basic self-citation measures are given, namely self-citing and self-cited rates. World literature on author, institutional, country, and journal self-citation is studied in more detail. Current views on the role and impact of self-citation are compiled and analyzed. It is found that there is a general consensus on some points: a) excessive self-citation and its total absence are both seen as pathological; b) self-citation has low impact on large research entities but may be critical for the analysis of individual researchers; c) share of self-citations is generally higher for entities with poor bibliometric performance, while top scientists, institutions, journals receive the majority of their citations from outside. This review also considers how bibliometric tools and databases respond to the challenge of possible manipulation by self-citations and how some bibliometric indicators are adjusted by them. The first part of the review presented here deals with the fundamental terms and definitions, and the most discussed and studied type of the self-citation, author self-citation.</p><p>This second and final part of the review considers institutional, country and journal self-citation. It also examines new bibliometric indicators which adjust for self-citation.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>самоцитирование</kwd><kwd>библиометрический анализ</kwd><kwd>оценка научной деятельности</kwd><kwd>импакт-фактор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>self-citation</kwd><kwd>bibliometric analysis</kwd><kwd>research evaluation</kwd><kwd>impact factor</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена при финансовой поддержке РФФИ в рамках научного проекта № 20-111-50209.</funding-statement><funding-statement xml:lang="en">The paper was funded by RFBR, project number 20-111-50209.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Писляков В. В. Самоцитирование и его влияние на оценку научной деятельности: обзор литературы. Часть 1 // Науч. и техн. б-ки. 2022. № 2. 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