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Telematics and InformaticsJournal Home
Telematics and Informatics is an interdisciplinary journal publishing innovative theoretical and methodological research on the social, economic, geographic, political, and cultural impacts of digital technologies. Application areas include smart cities, sensors and information fusion, the digital society and digital platforms, internet of things (IoT), cyber-physical technologies, privacy, knowledge management, distributed work, emergency response and hazards, mobile and wireless communications, health informatics, psychosocial effects of social media, ICT for sustainable development, blockchain, e-commerce, and e-government. The Journal favors research papers (8,000 words) but will consider contributions offering systematic review and meta-analysis (10,000 words), as well as research notes (4,000 words) that seek to advance new ideas, theoretical perspectives or methodological approaches. Telematics and Informatics serves as an international outlet for information scientists, data scientists, computer scientists, social informaticists, geographic information scientists, urban and regional planners, policy analysts, regional scientists, disaster scientists, and network scientists. Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more.
Publishing Model：
ISSN：0736-5853
|EISSN：1879-324X
|Publication Frequency：Four times a year
|Last updated on 01 Apr 2026 / Current volume： 声蔡炆 / Current issue：
More Details
Information and Knowledge Dissemination
Impact Factor
Journal Impact Factor(JIF) 2024
躭.杚
Journal Citation Indicator(JCI) 2024
缗.鋺声
Web of Science Rank 2024:
喊沟彦鵣葤胦嵻穫喊鵣沟 偌。喊乊沟。乊 & 欄喊愨葤嵻葤巨 偌。喊乊沟。乊
# 炆/声炆炆
96.69%
Q1
CiteScore Metrics
CiteScore 2024
缗蔡.鋺
=
躭鋺鋺逦 Citation （2022-2024）
鋺声杚 Article （2022-2024）
CiteScore Rank 2024
欄囹櫐
# 声/声声蔡逦
99.91%
Q1
。肃陱陱憗鵃嚷桧囹锆嚷肃鵃
# 缗/逦杚逦
99.63%
Q1
。肃陱卖憗锆蠹㥌 沟蠹锆櫐肃㥌怍详 囹鵃罒 。肃陱陱憗鵃嚷桧囹锆嚷肃鵃详
# 躭/逦蔡篫
98.42%
Q1
乊⻊蠹桧锆㥌嚷桧囹⻊ 囹鵃罒 乊⻊蠹桧锆㥌肃鵃嚷桧 乊鵃茡嚷鵃蠹蠹㥌嚷鵃茡
# 缗鋺/䟕篫蔡
97.53%
Q1
