Request for Updated CiteScore

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International journal of machine learning and computing CiteScore Year Wise

Note : This information is taken from the Scopus.

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Note : This information is taken from the Scopus.

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Calculation of "International journal of machine learning and computing" CiteScore

The CiteScore calculation of the current year depends on the number of citations received by a journal in the last 3 years and the current year aswell, which is then divided by the total number of all documents published in the journal in those last four years (including the calculation year). This is how the cite score of International journal of machine learning and computing is calculated. Citescore’s calculation is easy with no secret algorithms or hidden details. The formula for calculation of CiteScore is

CiteScore for 2024 counts the citations received in the year 2024 to documents published in 2021, 2022 and 2023, and divides this by the number of documents published in 2021, 2022 and 2023.

CiteScore is calculated on an annual basis, showing the average citations for a full calendar year but since impact of a journal is dynamic so elsevier provides a cite score tracker that measures performance in real time and provides an updated view of how the journal is performing during the year. CiteScore Tracker is updated every month. So International journal of machine learning and computing has its own score card, which is updated monthly.

Issues with CiteScore

Even though when we use CiteScore, it can provide interesting information about how a journal is being cited, its cautioned to be used as a “quality” metricrather than just a journal based metric. One of the immediate implications of CiteScore is that it drastically replaces the measurements of some of the very prestigious publications according to other metrics. This is done by looking at all the parts of the editorial program (editorials, commentaries, perspectives) as articles. CiteScore is used an estimate for research articles, but now it is also being used to judge non-research aspects of journals.

1. We have a new service that is beautifully executed, but adds little value to scholarly communications overall.
2. It puts Elsevier into a conflict of interest instead of being just independent
3. It increases the pressure on the competition.
4. It will encourage a philosophy of editorial design, that will serve the company’s economic and financial interests.

Seeing as how much the use of citescore has been increasing and how journal prestige is being used as an indicator in research evaluation, a critical evaluation of this indicator is thus required. The citescore of International journal of machine learning and computing is a very big deal for it.

International Journal of Machine Learning and Computing - IJMLC is an international academic open access journal which gains a foothold in Singapore, Asia and opens to the world. It aims to promote the integration of machine learning and computing. The focus is to publish papers on state-of-the-art machine learning and computing. Submitted papers will be reviewed by technical committees of the Journal and Association. The audience includes researchers, managers and operators for machine learning and computing as well as designers and developers. All submitted articles should report original, previously unpublished research results, experimental or theoretical, and will be peer-reviewed. Articles submitted to the journal more...

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