International Journal of Information Management Data Insights

Country

Netherlands

Universities and research institutions in Netherlands
Media Ranking in Netherlands

Subject Area and Category

Business, Management and Accounting
- Management Information Systems

Computer Science
- Artificial Intelligence
- Information Systems

Decision Sciences
- Information Systems and Management

Engineering
- Industrial and Manufacturing Engineering

Social Sciences
- Library and Information Sciences

Publisher

Elsevier BV

H-Index

Publication type

Journals

ISSN

26670968

Coverage

2021-2022

Information

Homepage

How to publish in this journal

Scope

Please note that relevant articles submitted to Special Issues in 2023 will have the full APC waived. A companion title to the International Journal of Information Management, IJIM Data Insights is a peer reviewed gold open access journal focusing on empirical evidences for information management using emerging data science methods. Data science is an emerging research methodology that contributes to information management through the influence of data analysis methods borrowed from disciplines like computer science, operations research and statistics. It attempts to extract knowledge and generate inferences by using a variety of methods, processes, algorithms and perspectives to provide actionable insights into a context or problem. The empirical evidences could be extracted from structured, semi-structured or unstructured data and contribute to information management and data driven decision making literature. IJIM Data Insights is interested in publishing state-of-the-art articles which address one or more the following themes and contexts: • Empirical studies which use a data-driven approach for contributing towards information management literature. • Data science and big data studies surrounding unstructured data analysis like opinion mining, sentiment analysis, text mining, image mining, video analytics and network science generated by individuals, groups, communities and firms. • Studies which adopt emerging methods like machine learning and artificial intelligence algorithms for improving decision making and information management are welcome if they provide novel empirical evidences. • Case studies on information management which demonstrate theoretical insights based on empirical evidences in an organizational or national setting. [...]

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Category	Year	Quartile
Artificial Intelligence	2022	Q1
Industrial and Manufacturing Engineering	2022	Q1
Information Systems	2022	Q1
Information Systems and Management	2022	Q1
Library and Information Sciences	2022	Q1
Management Information Systems	2022	Q1

SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2022	2.479

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2021	52
2022	85

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2021	0.000
Cites / Doc. (4 years)	2022	18.846
Cites / Doc. (3 years)	2021	0.000
Cites / Doc. (3 years)	2022	18.846
Cites / Doc. (2 years)	2021	0.000
Cites / Doc. (2 years)	2022	18.846

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2021	0
Self Cites	2022	327
Total Cites	2021	0
Total Cites	2022	980

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2021	0
External Cites per document	2022	12.558
Cites per document	2021	0.000
Cites per document	2022	18.846

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2021	21.15
2022	21.18

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.