Progress In Disaster Science

SCIE

国际简称：Prog Disaster Sci 参考译名：灾害科学进展

主要研究方向：Social Sciences-Safety Research 非预警期刊审稿周期：12 Weeks

《灾害科学进展》(Progress In Disaster Science)是一本由Elsevier出版的以Social Sciences-Safety Research为研究特色的国际期刊，发表该领域相关的原创研究文章、评论文章和综述文章，及时报道该领域相关理论、实践和应用学科的最新发现，旨在促进该学科领域科学信息的快速交流。该期刊是一本未开放期刊，近三年没有被列入预警名单。该期刊享有很高的科学声誉，影响因子不断增加，发行量也同样高。

2区中科院分区
Q1 JCR分区
103 年发文量
4 IF影响因子
未开放 是否OA
English 出版语言

Progress in Disaster Science is an international academic journal dedicated to the field of disaster science, aimed at promoting interdisciplinary research exchange and providing a high-quality platform for understanding, mitigating, and managing the risks of natural and man-made disasters. The journal publishes a diverse range of articles, including original research, review articles, case studies, and opinion reviews, covering the entire process from disaster prevention to response to recovery and reconstruction. The target readership of this journal is broad, including professionals engaged in disaster science research, as well as policy makers, emergency management practitioners, and the general public interested in disaster risk management. The coverage of journals is very extensive, not only focusing on natural disasters such as earthquakes, floods, typhoons, volcanic eruptions, etc., but also dealing with disasters caused by human factors.

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Progress In Disaster Science期刊信息

ISSN：2590-0617
出版语言：English
是否OA：未开放
出版地区：Netherlands
是否预警：否
出版商：Elsevier
开源占比：0.93
Gold OA文章占比：100.00%
OA被引用占比：
出版国人文章占比：0
出版撤稿占比：
研究类文章占比：91.26%

Progress In Disaster Science CiteScore评价数据（2026年6月最新版）

CiteScore

SJR

SNIP

CiteScore 指数

6.4

0.79

1.467

学科类别	分区	排名	百分位
大类：Social Sciences 小类：Safety Research	Q1	15 / 108	86%
大类：Social Sciences 小类：Geography, Planning and Development	Q1	127 / 876	85%
大类：Social Sciences 小类：Earth and Planetary Sciences (miscellaneous)	Q1	29 / 194	85%
大类：Social Sciences 小类：Environmental Science (miscellaneous)	Q1	77 / 307	75%

名词解释：CiteScore 是衡量期刊所发表文献的平均受引用次数，是在 Scopus 中衡量期刊影响力的另一个指标。当年CiteScore 的计算依据是期刊最近4年（含计算年度）的被引次数除以该期刊近四年发表的文献数。例如，2022年的 CiteScore 计算方法为：2022年的 CiteScore =2019-2022年收到的对2019-2022年发表的文件的引用数量÷2019-2022年发布的文献数量注：文献类型包括：文章、评论、会议论文、书籍章节和数据论文。

Progress In Disaster Science中科院评价数据

《新锐期刊分区表》（2026年3月发布）

Top期刊	综述期刊	大类学科		小类学科
否	否	地球科学	2区	ENVIRONMENTAL SCIENCES 环境科学 ENVIRONMENTAL STUDIES 环境研究 GEOSCIENCES, MULTIDISCIPLINARY 地球科学：综合 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 公共卫生、环境卫生与职业卫生 METEOROLOGY & ATMOSPHERIC SCIENCES 气象与大气科学	2区 3区 2区 2区 2区

Progress In Disaster Science JCR评价数据

2025-2026年最新版

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：ENVIRONMENTAL SCIENCES	ESCI	Q2	175 / 395	55.8
学科：ENVIRONMENTAL STUDIES	ESCI	Q2	72 / 202	64.6
学科：GEOSCIENCES, MULTIDISCIPLINARY	ESCI	Q2	68 / 259	73.9
学科：METEOROLOGY & ATMOSPHERIC SCIENCES	ESCI	Q2	38 / 114	67.1
学科：PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH	ESCI	Q1	79 / 443	82.3
学科：ENVIRONMENTAL SCIENCES	ESCI	Q2	130 / 395	67.22
学科：ENVIRONMENTAL STUDIES	ESCI	Q2	83 / 202	59.16
学科：GEOSCIENCES, MULTIDISCIPLINARY	ESCI	Q2	74 / 259	71.62
学科：METEOROLOGY & ATMOSPHERIC SCIENCES	ESCI	Q2	37 / 114	67.98
学科：PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH	ESCI	Q2	140 / 443	68.51

Progress In Disaster Science历年数据统计

影响因子

中科院分区

Progress In Disaster Science中国学者发文选摘

1、Spatio-temporal analysis and Farmer's perception and adaptation practices to cope with agricultural drought in Eastern Province, Rwand
Author: Maniraho, Albert Poponi; Li, Lanhai; Bai, Jie; Christophe, Mupenzi; Habimana, Fabien; Kayiranga, Alphonse; Muhirwa, Fabien; Fabiola, Bakayisire

Journal: PROGRESS IN DISASTER SCIENCE. 2026; Vol. 30, Issue , pp. -. DOI: 10.1016/j.pdisas.2026.100541
2、Factors influencing Malaysian environmental NGOs participation in climate governance: A DEMATEL-Base analysi
Author: Jiao, Yijuan

Journal: PROGRESS IN DISASTER SCIENCE. 2026; Vol. 30, Issue , pp. -. DOI: 10.1016/j.pdisas.2026.100546
3、Process, challenges, and optimization strategies of digital intelligence-driven emergency collaboration in Chin
Author: Cao, Xuanhan; Feng, Wei

Journal: PROGRESS IN DISASTER SCIENCE. 2026; Vol. 29, Issue , pp. -. DOI: 10.1016/j.pdisas.2026.100535
4、Machine learning-based identification and assessment of snow disaster risks using multi-source data: Insights from Fukui prefecture, Japa
Author: Yang, Zhenyu; Gokon, Hideomi; Yu, Qing

Journal: PROGRESS IN DISASTER SCIENCE. 2025; Vol. 26, Issue , pp. -. DOI: 10.1016/j.pdisas.2025.100426
5、From 2D to 3D: Flood risk communication in a flood-prone neighborhood via dynamic, isometric street views?
Author: Zhu, Jing; Laefer, Debra F.; Lejano, Raul P.; Gmelch, Peter; O'Keeffe, Evan; Chandna, Kshitij

Journal: PROGRESS IN DISASTER SCIENCE. 2025; Vol. 26, Issue , pp. -. DOI: 10.1016/j.pdisas.2025.100419