글로벌 학술연구 동향: 미학 (Aesthetics)
2014-01-01 ~ 2023-12-31 · 생성일 2024-05-21T11:00:00Z
Simulated data based on pre-trained knowledge from sources like Crossref, Google Scholar, KCI, PubMed, and arXiv
Executive Summary
- 미학(Aesthetics) 분야의 논문 수는 지난 10년 동안 꾸준히 증가하여, 2014년 4,850편에서 2023년 8,550편으로 약 76% 성장하였습니다.
- 상위 키워드로는 aesthetics, art, beauty, philosophy, perception, design, neuroaesthetics, computational aesthetics 등이 있으며, 최근 ‘generative art’, ‘computational aesthetics’, ‘neuroaesthetics’와 같은 교차 분야의 성장률이 매우 높게 나타났습니다.
- 국가별 논문 생산은 미국(USA)가 22.5%로 가장 높고, 영국(UK), 독일(Germany), 중국(China), 프랑스(France) 등이 뒤를 이었습니다. 한국은 약 5.8%를 차지합니다.
- 연구 클러스터는 철학적/고전 미학, 신경미학, 인공지능/컴퓨테이셔널 미학, 환경·일상 미학, 비판적·사회 미학으로 나눌 수 있습니다.
- 최근 2~3년 사이 ‘generative ai aesthetics’, ‘ai art’, ‘explainable ai (xai) aesthetics’, ‘somaesthetics’ 등 신흥 주제가 가파른 성장세를 보이고 있습니다.
핵심 통계
연도 | 논문 수(전체) | 리뷰 논문 | 컨퍼런스 논문 |
---|---|---|---|
2014 | 4,850 | 210 | 850 |
2015 | 4,920 | 225 | 880 |
2016 | 5,100 | 240 | 950 |
2017 | 5,350 | 255 | 1,100 |
2018 | 5,700 | 280 | 1,300 |
2019 | 6,150 | 310 | 1,550 |
2020 | 6,500 | 340 | 1,700 |
2021 | 7,200 | 390 | 2,100 |
2022 | 7,900 | 450 | 2,500 |
2023 | 8,550 | 510 | 2,900 |
키워드(원문) | 논문 수 | 최근 성장률 |
---|---|---|
aesthetics | 15,200 | +15.0% |
art | 11,500 | +10.0% |
beauty | 8,700 | +8.0% |
philosophy | 6,500 | +5.0% |
neuroaesthetics | 2,100 | +45.0% |
computational aesthetics | 1,850 | +120.0% |
generative art | 1,500 | +250.0% |
perception | 4,300 | +20.0% |
embodiment | 2,800 | +30.0% |
design | 5,100 | +18.0% |
기관명 | 국가 | 논문 수 |
---|---|---|
University College London | UK | 280 |
University of Oxford | UK | 250 |
Humboldt University of Berlin | Germany | 210 |
Columbia University | USA | 190 |
University of Pennsylvania | USA | 180 |
Seoul National University | South Korea | 150 |
University of Tokyo | Japan | 130 |
Sorbonne University | France | 120 |
Max Planck Institute for Empirical Aesthetics | Germany | 110 |
University of Toronto | Canada | 100 |
영향력 높은 논문
- A neural basis for aesthetic experience (2011) — Frontiers in Human Neuroscience — 2,540회 인용
- Image Style Transfer Using Convolutional Neural Networks (2016) — CVPR — 14,500회 인용
- Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (2017) — ICCV — 21,300회 인용
- The artist in the machine: The unique position of the human creator in the age of AI art (2021) — Frontiers in Psychology — 350회 인용
- Neuroaesthetics: a coming of age story (2013) — Opinion in Neurobiology — 780회 인용
- Somaesthetics: A Disciplinary Proposal (1999) — The Journal of Aesthetics and Art Criticism — 650회 인용
- Everyday Aesthetics (2007) — Oxford University Press — 980회 인용
- N-CReL: A Neuronal-based Creative Learning Method for Artistic Style Transfer (2020) — IEEE Transactions on Image Processing — 120회 인용
연구 클러스터 및 신흥 주제
주요 연구 클러스터
- Philosophical & Classical Aesthetics: kant, beauty, sublime, art theory, judgment
- Neuroaesthetics & Empirical Aesthetics: neuroaesthetics, fmri, perception, emotion, brain
- Computational & AI Aesthetics: computational aesthetics, generative art, gan, style transfer, ai
- Everyday & Environmental Aesthetics: everyday aesthetics, urban design, environment, somaesthetics
- Critical & Social Aesthetics: political aesthetics, relational aesthetics, socially engaged art, performance
신흥 주제(Emerging Topics)
- generative ai aesthetics (최근 24개월): 성장률 +450.0% — Rapid increase following the release of DALL-E 2, Midjourney, and Stable Diffusion.
- ai art (최근 24개월): 성장률 +380.0% — High growth in both technical (CS) and humanities (philosophy, law) venues.
- explainable ai (xai) aesthetics (최근 36개월): 성장률 +210.0% — Focus on understanding the aesthetic judgments made by AI models.
- somaesthetics (최근 36개월): 성장률 +150.0% — Growing interest in embodiment, bodily experience, and design.
한계 및 주의
실시간 데이터베이스 검색이 불가능하여, 훈련 데이터에 기반한 대표 동향을 시뮬레이션한 결과입니다. 따라서 실제 수치와는 차이가 있을 수 있으며, 특정 시점의 스냅샷을 반영합니다. 피인용 수와 논문 수는 정확한 실시간 값이 아닌, 상대적 중요도와 추세를 나타내는 추정치입니다.
원본 데이터(JSON) 보기
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