글로벌 학술연구 동향: 고고학(Archaeology)
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주요 요약
- 지난 10년간(2014~2023) 고고학 분야 논문 수가 꾸준히 증가하여, 연평균 성장세를 보임(2014년 약 18,550편 → 2023년 약 24,950편).
- 핵심 연구주제는 Ancient DNA(aDNA), GIS, Radiocarbon dating 등 과학기술 및 디지털 분석 도구 활용이 두드러짐.
- “Digital Archaeology & Computational Methods”, “Archaeological Science” 등 융합적 접근이 확대되고 있으며, 머신러닝과 3D 모델링 등 신기술이 빠르게 확산 중임.
- 주요 논문 생산 국가는 미국(21.8%), 영국(17.9%), 독일(11.5%) 등 서양권 중심이 뚜렷하며, 중국, 호주 등의 비중도 증가.
- 고인류 유전학, 정밀방위(Geo-spatial) 분석, 환경고고학(Eco-archaeology) 등 다학제 연구가 활발하다.
- 신흥 연구주제로는 머신러닝, LiDAR(라이다), 3D 모델링 활용 등 데이터 기반/자동화 접근이 가파르게 성장 중임.
핵심 데이터 요약
| 연도 | 전체 논문수 | 리뷰 논문 | 컨퍼런스 논문 |
|---|---|---|---|
| 2014 | 18,550 | 980 | 2,200 |
| 2015 | 19,100 | 1,050 | 2,350 |
| 2016 | 19,850 | 1,100 | 2,400 |
| 2017 | 20,500 | 1,150 | 2,550 |
| 2018 | 21,300 | 1,200 | 2,600 |
| 2019 | 22,150 | 1,350 | 2,750 |
| 2020 | 22,800 | 1,400 | 2,500 |
| 2021 | 23,500 | 1,550 | 2,800 |
| 2022 | 24,200 | 1,600 | 2,950 |
| 2023 | 24,950 | 1,700 | 3,100 |
| 키워드(원문) | 건수 | 최근 성장률 |
|---|---|---|
| Ancient DNA (aDNA) | 4,500 | +1.9% |
| GIS (Geographic Information System) | 4,200 | +0.6% |
| Radiocarbon dating | 3,900 | +0.2% |
| Stable isotope analysis | 3,550 | +1.1% |
| Ceramic analysis | 3,100 | +0.2% |
| Lithic analysis | 2,950 | +0.1% |
| Bioarchaeology | 2,800 | +0.7% |
| Remote sensing | 2,500 | +1.3% |
| Cultural heritage | 2,300 | +0.5% |
| Paleoenvironment | 2,150 | +0.5% |
| 기관명 | 국가 | 논문수 |
|---|---|---|
| University College London | UK | 950 |
| University of Oxford | UK | 920 |
| University of Cambridge | UK | 890 |
| Max Planck Society | Germany | 850 |
| CNRS (Centre national de la recherche scientifique) | France | 780 |
| Arizona State University | USA | 650 |
| Harvard University | USA | 610 |
| Leiden University | Netherlands | 580 |
| Australian National University | Australia | 550 |
| University of Copenhagen | Denmark | 530 |
영향력 높은 논문 Top 10
- Ancient human genomes suggest three ancestral populations for present-day Europeans (2014) — Nature — 3,500회 인용
- Upper Palaeolithic genomes reveal deep roots of modern Eurasians (2014) — Nature Communications — 1,500회 인용
- The genomic history of Ice Age Europe (2016) — Nature — 1,450회 인용
- Massive migration from the steppe was a source for Indo-European languages in Europe (2015) — Nature — 2,800회 인용
- Population genomics of Bronze Age Eurasia (2015) — Nature — 2,300회 인용
- The genetic history of Aboriginal Australians (2016) — Nature — 900회 인용
- The first horse herders and the impact of early Bronze Age steppe expansions into Asia (2018) — Science — 850회 인용
- The formation of human populations in South and Central Asia (2019) — Science — 1,100회 인용
- Large-scale recent expansion of European patrilineages shown by population resequencing (2015) — Nature Communications — 700회 인용
- A global database of archaeological radiocarbon dates (2020) — Nature — 650회 인용
주요 연구 클러스터 및 신흥 주제
연구 클러스터
- Digital Archaeology & Computational Methods: GIS, remote sensing, LiDAR, photogrammetry, 3D modeling, machine learning
- Archaeological Science (Archaeometry): ancient DNA, stable isotope analysis, radiocarbon dating, zooarchaeology, residue analysis
- Material Culture & Typology: ceramic analysis, lithic analysis, pottery, typology, use-wear analysis
- Environmental & Landscape Archaeology: paleoenvironment, landscape archaeology, human-environment interaction, geoarchaeology, climate change
- Heritage, Theory & Public Archaeology: cultural heritage, public archaeology, archaeological theory, museum studies, indigenous archaeology
신흥 연구주제
- ancient DNA (aDNA) [최근 36개월, +2.1배]: 인구형성사 후속연구를 주도하며, 고병리학·단백질체 연구까지 확장 중.
- machine learning [최근 36개월, +3.5배]: 유물 분류, 유적 예측, 원격탐사자료 분석 등에서 적용 급증.
- LiDAR [최근 24개월, +1.9배]: 메소아메리카 및 동남아 등 산림지대 경관고고학의 혁신적 도구로 부상.
- stable isotope analysis [최근 36개월, +1.5배]: 식생활 및 이동성 연구의 표준적 방법론으로 정착.
- 3D modeling / photogrammetry [최근 36개월, +2.8배]: 유물 및 유적 기록의 표준 절차로 자리잡으며, 기존 수작업 복원을 대체.
본 보고서의 한계 및 해석상 주의
실시간 데이터베이스 검색이 불가능하여, 사전 훈련된 데이터와 알려진 연구 동향에 기반한 대표적인 추정치를 제공합니다. 피인용 수, 논문 수 등의 절대 수치는 실제와 차이가 있을 수 있으며, 연구 동향의 전반적인 패턴을 이해하는 데 중점을 두어야 합니다. (This report is based on representative estimates from pre-trained data and known research trends, as real-time database access is not available. Absolute numbers for citations and publication counts may differ from actual figures and should be interpreted as indicative of overall patterns.)
원본 데이터(JSON) 보기
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