← 返回列表 SCI 期刊 管理学 TECHNOL FORECAST SOC

Technological Forecasting and Social Change

TECHNOL FORECAST SOC

Print ISSN 0040-1625 Online ISSN 1873-5509
SSCI Q1 新锐1区 Top期刊 混合OA 管理学
影响因子 2026
13.5
↑ 0.2
5年均分
14.6
5-Year IF
H 指数
283
H-Index
年发文量
433
Articles / Year
出刊频率
Pub. Frequency
创刊年份
1970
Founded Year
出版商
Elsevier Science Inc
Publisher
出版国家
USA
Country
投稿参考 & 用户评分
🏆 期刊声誉
暂无
综合口碑评分,点击星星参与
审稿速度
暂无
暂无实测数据,欢迎分享经验
💰 版面费用
系统
暂无
官方APC $2,500 USD 约¥18,125
中科院分区
2026新锐分区 新体系
大类1区
管理学Management
小类1区
商业:管理
中科院2025年分区 传统体系
大类1区
管理学Management
小类1区
商业:管理
WoS 期刊 JCR 分区 (2026 · JIF) 综合 SSCI Q1
学科 收录集 JIF 分区 JIF 排名 JIF 百分位
区域与城市规划 Regional & Urban Planning SSCI Q1 2/58
96.6%
商学 Business SSCI Q1 5/323
98.5%
按 JCI 指标学科分区
学科 收录集 JCI 分区 JCI 排名 JCI 百分位
区域与城市规划 Regional & Urban Planning SSCI Q1 1/51 JCI 2.60
100.0%
商学 Business SSCI Q1 5/286 JCI 2.60
98.6%
Scopus 指标
CiteScore
30.5
综合引用得分
SJR
3.479 Q1
SCImago Journal Rank
SNIP
3.148
Source Normalized Impact
JCI
2.60
Journal Citation Indicator
数据来源:Scopus (CiteScore · SJR · SNIP) · Clarivate (JCI)。指标年份:2026年6月最新版。
期刊简介

Technological Forecasting and Social Change (ISSN: 0040-1625), abbreviated as TECHNOL FORECAST SOC, is a premier peer-reviewed academic journal published by Elsevier. With an outstanding 2026 Impact Factor of 13.500, it ranks in the top tier (Q1) of the Journal Citation Reports, solidifying its status as a leading publication in the fields of technology management, innovation studies, and social science. The journal’s core scope encompasses the rigorous analysis and forecasting of technological trajectories and their profound interplay with social, economic, environmental, and political systems. It publishes a diverse range of article types, including original research articles, comprehensive literature reviews, insightful book reviews, and focused research notes, all of which contribute to advancing theoretical frameworks and empirical methodologies. Key topical areas cover innovation diffusion, technology assessment, sustainability transitions, foresight methodologies, strategic planning, and the societal impacts of emerging technologies such as artificial intelligence and clean energy systems. The target audience is broad and interdisciplinary, comprising academic researchers, policy analysts, corporate strategists, and government planners who seek evidence-based insights for decision-making. Notable features include its hybrid open access model, offering authors the option to publish open access for wider dissemination, and its rigorous double-blind peer review process ensuring high scholarly standards. The journal’s exceptional Q1 ranking and extraordinarily high impact factor underscore its unparalleled influence and reputation as an essential resource for understanding and shaping the complex dynamics of technological and social change.

历年影响因子 & 年发文量

上述信息均来源于网络,以官方发布为准,仅供参考。如有建议,欢迎反馈

生物行 © 2002–2026  All Rights Reserved.