CryogenicsJournal Home
Cryogenics is the world's leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are: • Applications of superconductivity: magnets, electronics, devices • Superconductors and their properties • Properties of materials: metals, alloys, composites, polymers, insulations • Fluid properties • New applications of cryogenic technology to processes, devices, machinery • Refrigeration and liquefaction technology • Thermodynamics, heat transfer, and fluid mechanics • Thermometry and measurement science • Cryogenics in medicine • Cryoelectronics As well as original research papers, Cryogenics contains commissioned review articles on the latest developments in cryogenics worldwide, research and technical notes describing preliminary results and experimental details, and letters to the Editor on recent areas of discussion and controversy. 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:Hybrid OA
ISSN:0011-2275
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EISSN:1879-2235
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Publication Frequency:12 times a year
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Last updated on  01 Sept 2026 / Current volume: 声炆声 / Current issue:
More Details
Journal Disciplines
Refrigeration Engineering
Electrotechnics
Electrical Materials
Open Access Information
Publication FEEs
APCs: 2940 (USD)
This journal publishes articles under the following open access license
OA License: CC BYCC BY-NCCC BY-NC-ND
Peer-Review
Single-blind Peer Review
Author's Copyright Notice
Author's Rights:--
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
缗.声
Journal Citation Indicator(JCI) 2024
蔡.杚䟕
Web of Science Rank 2024:
穫㡶乊葤胦鵣枀巨沟嵻胦喊。偌
# 杚䟕/篫䟕
51.27%
Q2
鵝㡶巨偌喊。偌, 嵻鵝鵝欄喊乊枀
# 声缗杚/声躭篫
34.49%
Q3

CiteScore Metrics

CiteScore 2024
杚.炆
=
  声躭躭蔡 Citation (2022-2024)
  逦缗逦 Article (2022-2024)
CiteScore Rank 2024
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# 䟕篫/缗鋺炆
60.57%
Q2
佥蠹鵃蠹㥌囹⻊ 胦囹锆蠹㥌嚷囹⻊详 偌桧嚷蠹鵃桧蠹
# 缗鋺䟕/鋺炆蔡
45.87%
Q3
Abstracting Indexing