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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Psychology and Pedagogics</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Psychology and Pedagogics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Психология и педагогика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-1683</issn><issn publication-format="electronic">2313-1705</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">32249</article-id><article-id pub-id-type="doi">10.22363/2313-1683-2022-19-3-592-606</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>CURRENT TRENDS IN PERSONALITY RESEARCH</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>СОВРЕМЕННЫЕ ТЕНДЕНЦИИ РАЗВИТИЯ ИССЛЕДОВАНИЙ ЛИЧНОСТИ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Beauty in Psychology: A Bibliometric Analysis</article-title><trans-title-group xml:lang="ru"><trans-title>Красота в психологии: библиометрический анализ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9373-1798</contrib-id><name-alternatives><name xml:lang="en"><surname>Nosova</surname><given-names>Polina A.</given-names></name><name xml:lang="ru"><surname>Носова</surname><given-names>Полина Александровна</given-names></name></name-alternatives><bio xml:lang="en"><p>Senior Lecturer, Section of Clinical Psychology, V. Zelman Institute of Medicine and Psychology</p></bio><bio xml:lang="ru"><p>старший преподаватель, кафедра клинической психологии, Институт медицины и психологии В. Зельмана</p></bio><email>nosova.polina@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1272-7859</contrib-id><name-alternatives><name xml:lang="en"><surname>Fedorov</surname><given-names>Alexandr A.</given-names></name><name xml:lang="ru"><surname>Фёдоров</surname><given-names>Александр Александрович</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD, Head of the Section of Clinical Psychology, Institute of Medicine and Psychology</p></bio><bio xml:lang="ru"><p>кандидат психологических наук, заведующий кафедрой клинической психологии, доцент кафедры психологии личности</p></bio><email>fedleks@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Novosibirsk State University</institution></aff><aff><institution xml:lang="ru">Новосибирский государственный университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2022-10-07" publication-format="electronic"><day>07</day><month>10</month><year>2022</year></pub-date><volume>19</volume><issue>3</issue><issue-title xml:lang="en">VOL 19, NO3 (2022)</issue-title><issue-title xml:lang="ru">ТОМ 19, №3 (2022)</issue-title><fpage>592</fpage><lpage>606</lpage><history><date date-type="received" iso-8601-date="2022-10-07"><day>07</day><month>10</month><year>2022</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2022, Nosova P.A., Fedorov A.A.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2022, Носова П.А., Фёдоров А.А.</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="en">Nosova P.A., Fedorov A.A.</copyright-holder><copyright-holder xml:lang="ru">Носова П.А., Фёдоров А.А.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/psychology-pedagogics/article/view/32249">https://journals.rudn.ru/psychology-pedagogics/article/view/32249</self-uri><abstract xml:lang="en"><p style="text-align: justify;">The purpose of the study is to conduct a bibliometric analysis of psychological publications devoted to the phenomenon of beauty. The research material (2214 articles) was extracted from the Scopus bibliographic database. The VOSviewer and biblioshiny software tools were used to analyze the results and build a bibliometric map. The construction of a conceptual map made it possible to identify four clusters related to the study of beauty: (1) the bodily component of a person; (2) attractiveness; (3) aesthetic phenomena; and (4) sociocultural processes. Thematic clustering using the Walktrap algorithm identified four themes; with the theme with the highest density and centrality devoted to the study of attractiveness, in particular, physical attractiveness and facial attractiveness. Five countries (USA, UK, Germany, Canada, Australia) produced almost 3/4 of the total number of publications (74.2%). The contribution of Russian authors amounted to 17 articles (0.8%). Trend analysis shows that in recent years there has been a growing interest in social media, aesthetic emotions and values. It is concluded that the main phenomena that are associated with the concept of “beauty” and are studied in psychology are body image, attractiveness, physical attractiveness, facial attractiveness and aesthetics. The conducted analysis shows that beauty as a value, remaining an understudied category, is explored in the context of positive psychology.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Цель исследования - библиометрический анализ психологических публикаций, посвященных феномену красоты. Материал для исследования (2214 статьи) был извлечен из библиографической базы данных Scopus. Для анализа результатов и построения библиометрической карты использовались программы VOSviewer и biblioshiny. При построении понятийной карты выделены четыре кластера, связанных с изучением красоты: телесная составляющая человека, привлекательность, эстетические явления, социокультурные процессы. Тематическая кластеризация алгоритмом Walktrap позволила определить четыре темы, при этом тема с наибольшей плотностью и центральностью посвящена изучению привлекательности, в частности, физической привлекательности и привлекательности лица. Пять стран (США, Великобритания, Германия, Канада, Австралия) выпустили почти 3/4 от общего количества публикаций (74,2 %). Вклад российских авторов составил 17 статей (0,8 %). Анализ трендов показывает, что в последние годы возрастает интерес к социальным медиа, эстетическим эмоциям и ценностям. Сделан вывод о том, что основными феноменами, которые связаны с понятием «красота» и изучаются в психологии, являются образ тела, привлекательность, физическая привлекательности, привлекательность лица и эстетика. Показано, что красота как ценность, оставаясь малоизученной категорией, исследуется в контексте позитивной психологии.</p></trans-abstract><kwd-group xml:lang="en"><kwd>bibliometric analysis</kwd><kwd>beauty</kwd><kwd>attractiveness</kwd><kwd>engagement with beauty</kwd><kwd>scientometrics</kwd><kwd>value</kwd><kwd>positive psychology</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>библиометрический анализ</kwd><kwd>красота</kwd><kwd>привлекательность</kwd><kwd>восприимчивость к красоте</kwd><kwd>наукометрия</kwd><kwd>ценность</kwd><kwd>позитивная психология</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Aria, M., &amp; Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. 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