International Journal of Machine Learning and Cybernetics

eISSN: 1868-808XpISSN: 1868-8071

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Key Metrics

CiteScore
7.7
Impact Factor
5 - 10
SJR
Q1Software
SNIP
1.32
7
Time to Publish
time-to-publish View Chart
8  Mo

Journal Specifications

Overview
  • Publisher
    SPRINGER HEIDELBERG
  • Language
    English
  • Frequency
    Bi-monthly
General Details
View less
Time to Publish
Time to publish distribution
Articles published in year 2022
Time to publish index
Months% Papers published
0-3 2%
4-6 30%
7-9 22%
>9 45%

Topics Covered

Support vector machine
Rough set
Rotation forest
Emergency department
Hub location problem
Measurement uncertainty
Extreme learning machine
Meta learning
Machine translation
Model predictive control
Time complexity
Feature selection
Similarity measure
Graph neural networks
Group decision-making
Heuristic
Decision-making
Universe
Recurrent neural network
Variable precision

Recently Published Papers

Year-wise Publication

FAQs

Since when has International Journal of Machine Learning and Cybernetics been publishing? Faqs

The International Journal of Machine Learning and Cybernetics has been publishing since 2010 till date.

How frequently is the International Journal of Machine Learning and Cybernetics published? Faqs

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

Who is the publisher of International Journal of Machine Learning and Cybernetics? Faqs

The publisher of International Journal of Machine Learning and Cybernetics is SPRINGER HEIDELBERG.

How can I view the journal metrics of International Journal of Machine Learning and Cybernetics on editage? Faqs

For the International Journal of Machine Learning and Cybernetics metrics, please refer to the section above on the page.

What is the eISSN and pISSN number of International Journal of Machine Learning and Cybernetics? Faqs

The eISSN number is 1868-808X and pISSN number is 1868-8071 for International Journal of Machine Learning and Cybernetics.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Support vector machine, Rough set, Rotation forest, Emergency department, Hub location problem, Measurement uncertainty, Extreme learning machine, Meta learning, Machine translation, Model predictive control, Time complexity, Feature selection, Similarity measure, Graph neural networks, Group decision-making, Heuristic, Decision-making, Universe, Recurrent neural network, Variable precision.

Why is it important to find the right journal for my research? Faqs

Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.

Can the choice of journal affect my academic career? Faqs

Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.

Is it advisable to target high-impact journals only? Faqs

While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.