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[인구학] 연구동향

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글로벌 학술연구 동향: 인구학 (Demography)

2014-01-01 ~ 2023-12-31 (추정) · 생성일 2024-05-22T12:00:00Z
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요약

  • 최근 10년간 인구학 분야의 연간 논문 수는 8,250편(2014년)에서 10,750편(2023년)으로 꾸준히 증가했습니다.
  • 핵심 연구 키워드는 mortality, fertility, migration, population aging, life expectancy 등이었으며, COVID-19(+250.0%), computational demography(+150.0%), climate change(+85.0%) 키워드가 빠르게 성장했습니다.
  • 미국, 영국, 독일, 중국, 캐나다 순으로 논문 실적이 높으며, 특히 미국(25.1%)의 비중이 두드러집니다.
  • 인구 고령화, 건강 불평등, 팬데믹(코로나19) 등 인구구조 변화와 건강 관련 이슈에 관한 연구 비중이 크게 확대되었습니다.
  • 데이터/방법론 및 환경과 인구, 컴퓨테이셔널 접근, 기후변화·이주가 신흥·융합 주제로 부상 중입니다.
연도별 논문 수 (2014~2023)
연도 전체 논문 수 Review 논문 Conference 논문
2014 8,250 410 1,150
2015 8,400 430 1,180
2016 8,750 450 1,210
2017 8,900 480 1,250
2018 9,120 510 1,280
2019 9,350 550 1,300
2020 9,850 620 1,350
2021 10,200 680 1,400
2022 10,500 710 1,450
2023 10,750 750 1,500
상위 키워드 Top 10
키워드 논문 수 최근 성장률
mortality 12,500 +15.0%
fertility 11,800 +8.0%
migration 11,500 +20.0%
population aging 9,800 +25.0%
life expectancy 8,500 +18.0%
COVID-19 4,500 +250.0%
climate change 3,200 +85.0%
family planning 2,900 +5.0%
health inequality 2,500 +30.0%
computational demography 800 +150.0%
상위 연구기관 Top 10
기관명 국가 논문 수
Max Planck Institute for Demographic Research Germany 850
University of Pennsylvania USA 720
London School of Economics and Political Science (LSE) United Kingdom 680
University of California, Berkeley USA 650
Institut National d’Études Démographiques (INED) France 610
Wittgenstein Centre for Demography and Global Human Capital Austria 590
University of Washington USA 550
University of Oxford United Kingdom 530
Peking University China 480
Harvard University USA 470

영향력 높은 논문

  1. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015 (2016) — The Lancet — 10,000회 인용
    (DOI:10.1016/S0140-6736(16)31012-1)
  2. World population stabilization unlikely this century (2014) — Science — 2,500회 인용
    (DOI:10.1126/science.1257469)
  3. The formal demography of kinship: A new framework and its application (2023) — Demography — 50회 인용
    (DOI:10.1215/00703370-10667086)
  4. Future of the human climate niche (2020) — Proceedings of the National Academy of Sciences — 1,500회 인용
    (DOI:10.1073/pnas.1910114117)
  5. Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21 (2022) — The Lancet — 2,200회 인용
    (DOI:10.1016/S0140-6736(21)02796-3)
  6. A new perspective on population aging (2015) — Demographic Research — 500회 인용
    (DOI:10.4054/DemRes.2015.32.34)
  7. The Future of Human Longevity: A Systematic Review of Expert Opinion (2019) — Population and Development Review — 150회 인용
    (DOI:10.1111/padr.12243)
  8. Using digital trace data for demographic research (2021) — Annual Review of Sociology — 120회 인용
    (DOI:10.1146/annurev-soc-090220-032250)

연구 클러스터 및 신흥 연구주제

주요 연구 클러스터

  • Core Demographic Dynamics:
    fertility, mortality, demographic transition, population projection
  • Population Aging & Health:
    population aging, life expectancy, healthy aging, healthcare, social security
  • Migration & Urbanization:
    international migration, refugees, urbanization, internal migration
  • Environment & Population:
    climate change, environmental migration, sustainability, population growth
  • Data, Methods & Inequality:
    census, longitudinal study, computational demography, health inequality
  • Global Health & Pandemics:
    COVID-19, pandemics, excess mortality, public health

신흥 연구주제

  • excess mortality (최근 36개월, 성장률 +250.0%): Primarily driven by COVID-19 pandemic research.
  • climate migration (최근 36개월, 성장률 +120.0%): Intersection of demography, climate science, and geography.
  • computational demography (최근 24개월, 성장률 +80.0%): Application of big data, machine learning, and simulation.
  • fertility postponement (최근 36개월, 성장률 +50.0%): Increased focus on low and lowest-low fertility contexts.
  • genomic data (최근 36개월, 성장률 +90.0%): Integration of genetic markers in studies of longevity and health.

한계 및 주의 사항

  • 실시간 데이터베이스 검색이 불가능하여, 훈련된 데이터와 공개된 학술 정보를 바탕으로 생성된 시뮬레이션 결과입니다. 피인용 수, 논문 수, 순위 등 모든 정량적 수치는 실제와 차이가 있을 수 있으며, 연구 동향을 보여주기 위한 대표값입니다. 중복 제거 로그 등 실제 검색 프로세스에서 발생하는 메타데이터는 생성할 수 없습니다.
원본 데이터(JSON) 보기
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    "date_range": "2014-01-01 ~ 2023-12-31 (추정)",
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      "url": "https://doi.org/10.1146/annurev-soc-090220-032250"
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      "window": "last_36m",
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      "note": "Integration of genetic markers in studies of longevity and health."
    }
  ]
}

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