International Journal of Cognitive Computing in Engineering
Q1 Journal
Open Access
Journal
Country
China
Asiatic Region
Subject Area and Category
Computer Science
└
Computer Science Applications
Q1
└
Engineering (miscellaneous)
Q1
└
Information Systems
Q1
Publisher
SJR 2025
1.482
Q1
SJR Score
H-Index
33
Citations / Doc (2yr)
10.03
Total Docs. (latest)
47
Total Citations (3yr)
1,042
Publication type
Journals
ISSN
26663074
Coverage
2020-2026
Journal Rank
#2,490
Subject Categories
Computer Science Applications
Q1
Engineering (miscellaneous)
Q1
Information Systems
Q1
Information Systems and Management
Q1
Subject Areas
Aims & Scope
Cognitive computing is the creation of self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to solve complicated problems without constant human oversight.
It is a field that is highly transdisciplinary in nature, combining ideas, principles and methods of psychology, computer and internet technologies, linguistics, philosophy, neuroscience, etc.
The goal of the International Journal of Cognitive Computing in Engineering is to explore how these data science technologies and new cognitive methods can be integrated to address real world engineering problems and challenges.
For example, the journal welcomes submissions that look at the opportunities offered by combining existing data technologies with the knowledge of experts in the field and artificial intelligence.
One of the benefits of cognitive computing is that it offers new analytics opportunities: the journal also welcomes designs for cognitive embedded data technologies that can process and analyse the large amount of data generated and aid decision-making.
Submissions on a variety of cognitive computing-related topics will be considered.
Abstracting & Indexing
Scopus
Google Scholar
Directory of Open Access Journals (DOAJ)
Detailed Metrics
| Total Docs. (latest) | 47 |
| Total Docs. (3 years) | 97 |
| Total Refs. | 2,274 |
| Total Citations (3 years) | 1,042 |
| Citable Docs. (3 years) | 96 |
| Citations / Doc. (2 years) | 10.03 |
| Ref. / Doc. | 48.38 |
| % Female | 43.0% |
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