글로벌 학술연구 동향: 인구학 (Demography)
2014-01-01 ~ 2023-12-31 (추정) · 생성일 2024-05-22T12:00:00Z
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PubMed
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.
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 |
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% |
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
-
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) -
World population stabilization unlikely this century (2014) — Science — 2,500회 인용
(DOI:10.1126/science.1257469) -
The formal demography of kinship: A new framework and its application (2023) — Demography — 50회 인용
(DOI:10.1215/00703370-10667086) -
Future of the human climate niche (2020) — Proceedings of the National Academy of Sciences — 1,500회 인용
(DOI:10.1073/pnas.1910114117) -
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) -
A new perspective on population aging (2015) — Demographic Research — 500회 인용
(DOI:10.4054/DemRes.2015.32.34) -
The Future of Human Longevity: A Systematic Review of Expert Opinion (2019) — Population and Development Review — 150회 인용
(DOI:10.1111/padr.12243) -
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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