Journal of the Association for Information Science and TechnologyJournal Home
Journal of the Association for Information Science and Technology (JASIST) The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
Publishing Model:Hybrid OA
ISSN:2330-1635
|
EISSN:2330-1643
|
Publication Frequency:Monthly (except twice in Sept.)
|
Last updated on  01 Aug 2026 / Current volume: 篫篫 / Current issue:
More Details
Journal Disciplines
Science of Science and Scientific Research
Information Processing
Library Science,Information Science
Open Access Information
Publication FEEs
APCs: 2900 (EUR) 2320 (GBP) 3480 (USD)
This journal publishes articles under the following open access license
OA License: --
Peer-Review
Single-blind Peer Review
Author's Copyright Notice
Author's Rights:--
Journal Metrics

Impact Factor

Journal Impact Factor(JIF) 2024
鋺.杚
Journal Citation Indicator(JCI) 2024
蔡.逦篫
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
# 缗篫/声炆炆
84.04%
Q1
。鵣胦鵝侶穫乊葤 偌。喊乊沟。乊, 喊沟彦鵣葤胦嵻穫喊鵣沟 偌巨偌穫乊胦偌
# 炆逦/缗逦躭
75%
Q2

CiteScore Metrics

CiteScore 2024
躭.躭
=
  杚逦杚躭 Citation (2022-2024)
  鋺蔡蔡 Article (2022-2024)
CiteScore Rank 2024
欄嚷懼㥌囹㥌续 囹鵃罒 喊鵃鯉肃㥌陱囹锆嚷肃鵃 偌桧嚷蠹鵃桧蠹详
# 缗篫/缗躭篫
90.59%
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
# 炆䟕/逦蔡篫
86.39%
Q1
喊鵃鯉肃㥌陱囹锆嚷肃鵃 偌续详锆蠹陱详 囹鵃罒 胦囹鵃囹茡蠹陱蠹鵃锆
# 缗䟕/声䟕蔡
84.74%
Q1
喊鵃鯉肃㥌陱囹锆嚷肃鵃 偌续详锆蠹陱详
# 篫䟕/鋺篫鋺
83.33%
Q1
Abstracting Indexing