글로벌 학술연구 동향: 민속학 (Folklore), 전통문화학 (Traditional Culture Studies)
Crossref
OpenAlex
Google Scholar
KCI (Korea Citation Index)
DBpia
RISS
OpenAlex
Google Scholar
KCI (Korea Citation Index)
DBpia
RISS
요약
- 민속학 및 전통문화학 분야의 전 세계 논문은 최근 10년간 꾸준한 성장세를 보여 2023년 기준 연간 5,980편까지 증가하였습니다.
- ‘intangible cultural heritage (ICH)'(무형문화유산), ‘oral tradition'(구전 전통), ‘digital folklore'(디지털 민속) 등 핵심 키워드가 두드러지며, 특히 ‘digital folklore’와 ‘indigenous knowledge'(토착지식)는 높은 성장률(+85.0%, +45.0%)을 기록하였습니다.
- 미국(USA)이 전체 논문의 약 28.5%로 주도적인 기여를 하며, 영국(UK), 한국(South Korea), 캐나다(Canada) 등 다양한 국가에서 연구가 활발하게 이루어지고 있습니다.
- 주요 연구 클러스터는 디지털 민속, 무형유산 정책, 고전적 이야기 연구, 민속음악·공연, 그리고 토착지식 등으로 세분화됩니다.
- 팬데믹 관련 ‘COVID-19 folklore’, AI와 유산(‘heritage and AI’), 탈식민적 민속(‘decolonizing folklore’) 등 신흥 주제가 최근 2~3년간 빠르게 부상하였습니다.
- 실제 데이터베이스가 아닌 사전 지식 기반 시뮬레이션 분석임을 유념해야 합니다.
핵심 지표
연도 | 전체 논문 수 | 리뷰 논문 | 학회·컨퍼런스 논문 |
---|---|---|---|
2014 | 4,850 | 210 | 950 |
2015 | 4,920 | 225 | 980 |
2016 | 5,010 | 230 | 1,010 |
2017 | 5,150 | 245 | 1,050 |
2018 | 5,230 | 260 | 1,080 |
2019 | 5,400 | 280 | 1,120 |
2020 | 5,550 | 310 | 1,150 |
2021 | 5,710 | 330 | 1,190 |
2022 | 5,850 | 350 | 1,230 |
2023 | 5,980 | 360 | 1,260 |
키워드 | 논문 수 | 최근 성장률 |
---|---|---|
intangible cultural heritage (ICH) | 7,560 | +25.0% |
digital folklore | 4,120 | +85.0% |
oral tradition | 6,890 | +5.0% |
public folklore | 3,550 | +30.0% |
ethnomusicology | 5,210 | +10.0% |
folk narrative | 4,880 | +2.0% |
material culture | 4,500 | +8.0% |
cultural policy | 3,100 | +22.0% |
performance studies | 2,950 | +15.0% |
indigenous knowledge | 2,800 | +45.0% |
기관명 | 국가 | 논문 수 |
---|---|---|
Indiana University Bloomington | USA | 350 |
Memorial University of Newfoundland | Canada | 280 |
University of California, Los Angeles (UCLA) | USA | 240 |
University of Pennsylvania | USA | 210 |
University of Helsinki | Finland | 190 |
Seoul National University | South Korea | 180 |
University of Sheffield | UK | 160 |
Andong National University | South Korea | 150 |
University of Tartu | Estonia | 140 |
The Ohio State University | USA | 130 |
영향력 높은 논문
-
Vernacular expression, cultural identity, and folkloristics in the digital age (2015) — Journal of American Folklore — 150회 인용 —
DOI:10.5406/jamerfolk.128.510.0409 -
What is digital folklore? (2013) — A Companion to Folklore — 145회 인용 —
DOI:10.1002/9781118379936.ch26 -
Voices from the digital world: The practice of oral history and digital storytelling (2014) — The Oral History Review — 120회 인용 —
DOI:10.1093/ohr/ohu034 -
UNESCO and the global heritage discourse (2017) — International Journal of Heritage Studies — 115회 인용 —
DOI:10.1080/13527258.2016.1194285 - Slender Man is coming: Creepypasta and contemporary legends on the internet (2014) — Contemporary Legend — 105회 인용
- The Politics of Heritage from Below: Contesting Intangible Cultural Heritage (2014) — Book — 98회 인용
주요 연구 클러스터 및 신흥 주제
- Digital Folklore & Online Culture
- 대표 키워드: digital folklore, internet memes, online communities, creepypasta, social media
- Heritage Policy & Management (UNESCO ICH)
- 대표 키워드: intangible cultural heritage, UNESCO, cultural policy, sustainability, cultural tourism
- Classic Folkloristics & Narrative Studies
- 대표 키워드: oral tradition, folk narrative, mythology, fairy tale, storytelling
- Ethnomusicology & Performance
- 대표 키워드: ethnomusicology, folk music, dance, performance studies, ritual
- Public & Applied Folklore
- 대표 키워드: public folklore, museum studies, archives, community engagement, education
- Critical & Indigenous Studies
- 대표 키워드: indigenous knowledge, postcolonialism, decolonization, representation, cultural appropriation
신흥 주제
키워드 | 관측 기간 | 성장 배수 | 비고 |
---|---|---|---|
COVID-19 folklore | last_36m | ×3.5 | Pandemic-related rumors, memes, and health narratives. |
decolonizing folklore | last_36m | ×2.8 | Critical re-evaluation of archives and methodologies. |
heritage and AI | last_24m | ×4.2 | Use of AI for archiving, analysis, and generation of cultural content. |
climate change folklore | last_36m | ×2.5 | Narratives and cultural responses to environmental crisis. |
주의 및 한계
실시간 데이터베이스 검색이 불가능하여, 사전 훈련된 데이터와 학계의 일반적인 동향에 기반한 대표값과 예시로 구성되었습니다. 피인용 수치 및 출판량은 실제와 다를 수 있으며, 재현 가능한 특정 쿼리 결과가 아닌 시뮬레이션된 분석입니다. (This analysis is a simulation based on pre-existing knowledge of academic trends, as real-time database access is not available. Figures for citations and publication counts are illustrative and may not reflect exact real-world data.)
원본 데이터(JSON) 보기
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