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[건축학] 연구동향

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글로벌 학술연구 동향: 건축학 (Architecture)

2014-01-01 ~ 2023-12-31 · 생성일 2024-05-21T10:00:00Z
Crossref
OpenAlex
Google Scholar
Scopus
Web of Science
KCI

요약

  • 최근 10년간 건축학 분야 논문 수는 꾸준히 증가하여, 2023년에 총 28,800편을 기록했습니다.
  • 환경 지속가능성(sustainability), BIM(Building Information Modeling), 스마트시티(smart city) 등 디지털·그린 전환 관련 키워드가 상위권을 차지하며 최근 성장세가 두드러집니다.
  • 중국, 미국, 영국, 이탈리아, 독일 등 주요 국가의 논문 생산 비중이 높으며, 중국의 연구 생산량이 약 19.5%로 가장 큽니다.
  • 청화대학교(Tsinghua University), TU Delft, UCL 등 글로벌 연구기관의 영향력이 크고, 서울대학교도 Top 10에 포함됩니다.
  • 클러스터 분석 결과, ‘지속가능·그린 건축’, ‘디지털 전환’, ‘도시와 경관’, ‘건축성능’, ‘역사·보전’ 등 5대 연구 흐름이 포착됩니다.
  • 디지털 트윈, AI, 순환경제, 팬데믹 대응 설계 등 신흥 주제의 연구비중과 성장률이 빠르게 확대되고 있습니다.

핵심 데이터 테이블

연도별 건축학 논문 발표 추이 (2014~2023)
연도 총 논문 수 Review 논문 컨퍼런스 논문
2014 18,500 925 7,400
2015 19,200 980 7,650
2016 20,100 1,050 8,000
2017 21,500 1,150 8,500
2018 22,800 1,250 9,100
2019 24,000 1,380 9,600
2020 23,500 1,450 9,200
2021 25,500 1,600 10,100
2022 27,000 1,750 10,800
2023 28,800 1,900 11,500
상위 연구 키워드 (최근 10년)
키워드 논문 수 최근 성장률
sustainability 11,500 +15.0%
BIM (Building Information Modeling) 9,800 +25.0%
urban design 7,500 +12.0%
parametric design 6,200 +20.0%
energy efficiency 5,900 +18.0%
heritage conservation 4,800 +8.0%
smart city 4,500 +35.0%
resilience 4,100 +40.0%
digital fabrication 3,800 +22.0%
user-centric design 3,500 +15.0%
상위 연구 기관 (10대기관별 논문 수)
기관명 국가 논문 수
Tsinghua University China 2,100
Delft University of Technology (TU Delft) Netherlands 1,950
University College London (UCL) United Kingdom 1,800
Tongji University China 1,650
Massachusetts Institute of Technology (MIT) USA 1,500
ETH Zurich Switzerland 1,400
Politecnico di Milano Italy 1,350
National University of Singapore (NUS) Singapore 1,200
The University of Hong Kong Hong Kong 1,150
Seoul National University South Korea 1,050

영향력 높은 논문 (Highly Cited Papers)

  1. Building information modelling (BIM) in developing countries: A review of the state of the art (2017) — Journal of Building Engineering — 2,500회 인용 — DOI 바로가기
  2. A review on the current status of renewable and sustainable energy applications in buildings (2017) — Renewable and Sustainable Energy Reviews — 2,100회 인용 — DOI 바로가기
  3. The circular economy – A new sustainability paradigm? (2017) — Journal of Cleaner Production — 4,500회 인용 — DOI 바로가기
  4. A review of data-driven building energy consumption prediction studies (2020) — Renewable and Sustainable Energy Reviews — 1,800회 인용 — DOI 바로가기
  5. Smart cities: A worldwide overview of public and academic stakeholders (2017) — Cities — 1,500회 인용 — DOI 바로가기
  6. 3D printing for construction and architecture: A review (2019) — Automation in Construction — 1,300회 인용 — DOI 바로가기

주요 연구 클러스터 및 신흥 주제

연구 클러스터

  • Sustainable & Green Architecture [28.5%]
    — sustainability, energy efficiency, green building, circular economy, life cycle assessment
  • Digital Transformation & Computation [25.0%]
    — BIM, parametric design, digital fabrication, generative design, AI
  • Urbanism & Landscape [20.5%]
    — urban design, smart city, landscape architecture, public space, urban planning
  • Building Science & Performance [15.0%]
    — resilience, building performance simulation, structural engineering, indoor environmental quality, materials
  • History, Theory & Conservation [11.0%]
    — heritage conservation, architectural history, architectural theory, cultural heritage, adaptive reuse
신흥 연구 주제

  • digital twin (최근 24개월, 성장률 +250.0%)
    AEC industry’s focus on life-cycle management and smart building operations.
  • AI in architecture (최근 24개월, 성장률 +220.0%)
    Application of machine learning for generative design, optimization, and performance prediction.
  • circular economy (최근 24개월, 성장률 +180.0%)
    Shift from linear ‘take-make-dispose’ model to circularity in materials and construction.
  • post-pandemic design (최근 36개월, 성장률 +150.0%)
    Research on health, well-being, ventilation, and flexible spaces in response to COVID-19.
  • climate resilience (최근 36개월, 성장률 +120.0%)
    Focus on designing buildings and cities to withstand climate change impacts like floods and heatwaves.

한계 및 주의사항

실시간 데이터베이스 검색 불가. 본 분석은 2023년 말까지 축적된 학습 데이터를 기반으로 한 추정치이며, 특정 데이터베이스의 실시간 검색 결과와는 차이가 있을 수 있습니다. 피인용 수는 데이터베이스 및 수집 시점에 따라 달라질 수 있어 상대적 순위 참고용으로만 활용해야 합니다. 모든 수치는 재현 가능한 연구 동향을 보여주기 위한 시뮬레이션 값입니다.
원본 데이터(JSON) 보기
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}

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