International Journal of Machine Learning and Cybernetics: Scope and Key Metrics

The International Journal of Machine Learning and Cybernetics (IJMLC) serves as a crucial platform for disseminating the latest advancements at the intersection of machine learning and cybernetics. This article provides a comprehensive overview of the journal, including its scope, key metrics, and relevant information for researchers considering it for publication.

Introduction

Cybernetics deals with the study of complex interactions and interrelationships within systems that are pervasive in our daily lives. Machine learning, on the other hand, focuses on discovering fundamental functional relationships between variables within systems. The International Journal of Machine Learning and Cybernetics merges these two disciplines, aiming to uncover various forms of interaction between systems through diverse mechanisms of learning from data.

Scope and Focus

The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on key research problems emerging at the junction of machine learning and cybernetics. It serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. The journal welcomes new ideas, design alternatives, implementations, and case studies pertaining to all aspects of machine learning and cybernetics.

Key research areas covered by the journal include:

Machine Learning for modeling interactions between systems
Pattern Recognition technology to support discovery of system-environment interaction
Control of system-environment interactions
Biochemical interaction in biological and biologically-inspired systems
Learning for improvement of communication schemes between systems

The journal covers a wide range of topics.

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Key Metrics and Ranking

SCImago Journal Rank (SJR)

According to SCImago Journal Rank (SJR), this journal is ranked 0.694. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). In the past 11 years, this journal has recorded a range of SJR, with the highest being 1.024 in 2014 and the lowest being 0.577 in 2015.

Impact Factor (IF)

The impact IF, also denoted as Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. Impact IF 2024 of International Journal of Machine Learning and Cybernetics is 3.80. The highest and the lowest impact IF or impact score of this journal are 5.39 (2022) and 1.65 (2015), respectively, in the last 11 years. Moreover, its average IS is 3.52 in the previous 11 years. The latest impact factor of International Journal of Machine Learning and Cybernetics is 2.7 which was recently updated in June, 2025. The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times its articles are cited.

H-Index

International Journal of Machine Learning and Cybernetics has an h-index of 73. The h-index is a way of measuring the productivity and citation impact of the publications. The latest h-index of the International Journal of Machine Learning and Cybernetics is 73.

Quartile

The best quartile for the International Journal of Machine Learning and Cybernetics is Q2 (2024). The latest Quartile of international journal of machine learning and cybernetics is Q2. Each subject category of journals is divided into four quartiles: Q1, Q2, Q3, Q4. Q1 is occupied by the top 25% of journals in the list; Q2 is occupied by journals in the 25 to 50% group; Q3 is occupied by journals in the 50 to 75% group and Q4 is occupied by journals in the 75 to 100% group.

Ranking

Over the course of the last 11 years, this journal has experienced varying rankings, reaching its highest position of 4100 in 2021 and its lowest position of 8185 in 2024.

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Publication Details

Publisher

International Journal of Machine Learning and Cybernetics is published by Springer Science + Business Media. The publisher of International Journal of Machine Learning and Cybernetics is SPRINGER HEIDELBERG. The country of publication is the United States.

ISSN

The ISSN of International Journal of Machine Learning and Cybernetics is 1868808X, 18688071. An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. The pISSN number is 1868-8071 for International Journal of Machine Learning and Cybernetics.

Abbreviation

The ISO 4 standard abbreviation of International Journal of Machine Learning and Cybernetics is Int. J. Mach. Learn. Cybern.. This abbreviation ('Int. J. Mach. Learn.

Frequency

International Journal of Machine Learning and Cybernetics is published Bi-monthly.

Coverage History

The International Journal of Machine Learning and Cybernetics coverage history can be summarized as follows: 2010-2025.

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Indexing

The international journal of machine learning and cybernetics is indexed in:

UGC CARE
Scopus
Web of Science (SCIE)

An indexed journal means that the journal has gone through and passed a review process of certain requirements done by a journal indexer. The Web of Science Core Collection includes the Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (AHCI), and Emerging Sources Citation Index (ESCI).

Editorial Information and Policies

Author Responsibilities

Authors submitting to the International Journal of Machine Learning and Cybernetics are expected to:

Respond swiftly to any queries during the publication process.
Be accountable for all aspects of their work, including investigating and resolving any questions about accuracy or research integrity.
Treat communications between them and the journal editor as confidential until an editorial decision has been made.
Include anyone who has made a substantial and meaningful contribution to the submission (anyone else involved in the paper should be listed in the acknowledgements).
Exclude anyone who hasn’t contributed to the paper, or who has chosen not to be associated with the research.

AI Usage Policy

Copywriting (creating, drafting, or writing) any part of a submission using generative AI tools and technology to generate new material is not permitted. Copy-editing (correcting, editing, formatting, modifying, or refining) all or part of an author’s own original existing work using generative AI tools and technology the content to improve its structure and the clarity of the language and grammar is permitted, ensuring users adhere to the following overarching principles.

Research and Publishing Ethics

Any manuscript submitted to this journal should be original. That means it should not have been published before in its current, or similar, form. If any substantial element of your paper has been previously published, you need to declare this to the journal editor upon submission.

By submitting your work to Emerald, you are guaranteeing that the work is not in infringement of any existing copyright.

You have an ethical obligation and responsibility to conduct your research in adherence to national and international research ethics guidelines, as well as the ethical principles outlined by your discipline and any relevant authorities, and to be transparent about your research methods in such a way that all involved in the publication process may fairly and appropriately evaluate your work.

For all research involving human participants, you must ensure that you have obtained informed consent, meaning that you must inform all participants in your work (or their legal representative) as to why the research is being conducted, whether their anonymity is protected, how their data will be stored and used, and whether there are any associated risks from participation in the study; the submitted work must confirm that informed consent was obtained and detail how this was addressed in accordance with our policy on informed consent.

Where appropriate, you must provide an ethical statement within the submitted work confirming that your research received institutional and national (or international) ethical approval, and that it complies with all relevant guidelines and regulations for studies involving humans, whether that be data, individuals, or samples.

Third-Party Copyright Permissions

Prior to article submission, you need to ensure you’ve applied for, and received, written permission to use any material in your manuscript that has been created by a third party.

Open Access

The journal offers both gold and green open access publishing paths.

Preparing a Submission

Manuscript Requirements

Article files should be provided in Microsoft Word format. Articles should be between 3000 and 11000 words in length. A concisely worded title should be provided. The names of all contributing authors should be added to the ScholarOne submission; please list them in the order in which you’d like them to be published.

Structured Abstract

All submissions must include a structured abstract, following a specific format. The maximum length of your abstract should be 250 words in total, including keywords and article classification.

Keywords

Your submission should include up to 12 appropriate and short keywords that capture the principal topics of the paper.

Additional Information

Publication Time

The publication time may vary depending on factors such as the complexity of the research and the current workload of the editorial team. Journals typically request reviewers to submit their reviews within 3-4 weeks.

Importance of Journal Selection

Finding the right journal for your research is important, thereby maximizing its scholarly impact and contribution to the field. The choice of journal can affect your academic career, making you more competitive for grants, tenure, and other professional opportunities.

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