Computational Communication Research
Q1 Journal
Open Access
Diamond OA
Journal
Country
Netherlands
Western Europe
Subject Area and Category
Computer Science
└
Computational Theory and Mathematics
Q1
└
Linguistics and Language
Q1
Publisher
SJR 2025
1.542
Q1
SJR Score
H-Index
17
Citations / Doc (2yr)
2.43
Total Docs. (latest)
11
Total Citations (3yr)
260
Publication type
Journals
ISSN
26659085
Coverage
2019-2026
Journal Rank
#2,318
Subject Categories
Computational Theory and Mathematics
Q1
Linguistics and Language
Q1
Subject Areas
Aims & Scope
Computational Communication Research is a peer-reviewed, open-access, community-owned journal founded from the ICA Computational Methods Division and published by Amsterdam University Press.
We welcome submissions that further the understanding, development and application of computational methods in communication research.
Computational methods include (but are not limited to) methods such as text analysis, social/semantic network analysis, online experiments, machine learning, visual analysis and agent-based modeling and simulations.
Computational methods can be applied to “big data” and social media or (online) behavior data, but can also be used to provide a more sophisticated understanding of “small data” or for theoretical explorations.
Submissions should discuss, introduce, or apply computational methods to build and/or test theory or to quantify, analyze, explore or visualize communication structures and processes.
In particular, we welcome submissions that :
• Apply computational methods to communication research questions;
• Present innovative computational methods for communication research;
• Evaluate or validate computational approaches to communication research;
• Address the role of computational methods in communication research;
• Present or validate tools, software packages, and datasets that are useful for communication research.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Detailed Metrics
| Total Docs. (latest) | 11 |
| Total Docs. (3 years) | 59 |
| Total Refs. | 656 |
| Total Citations (3 years) | 260 |
| Citable Docs. (3 years) | 57 |
| Citations / Doc. (2 years) | 2.43 |
| Ref. / Doc. | 59.64 |
| % Female | 29.0% |
Metrics Visualization
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