Journal of Big Data CiteScore 2023-2024

What is CiteScore?

Journal of Big Data - CiteScore - Evaluating scientific quality is an extremely tough problem that has no ordinary solution. In theory, published scientific results should be examined by real experts in the field and should be given scores for quality and quantity according to the established rules. One of the new ways to measure the impact and performance of a journal over time is the Cite score. Cite score is a standard that will help you manage and make decisions about its future wisely because of the data that you’ll procure. The number of citations obtained by a journal per annum to documents published in previous three years, divided by the total number of documents indexed in Scopus published in those same three years. The Citescore is an important metric. It is usually used as a way to measure the relative importance of a journal within all printed documents like letter, editorial, etc; journals that have higher citescore values are usually considered to be of higher prestige. They are considered to be having more prestige, than those with lower values. Citescore gives a much more comprehensive picture about the impact of a journal than other metrics like Impact Factor. If CiteScore of Journal of Big Data is high then its a prestigious journal.


Journal of Big Data CiteScore Year Wise

Note : This information is taken from the Scopus.





Note : This information is taken from the Scopus.




Journal of Big Data Details


Journal Name Journal of Big Data
Journal Abbreviation Journal of Big Data Abbreviation
Journal Online 2196-1115 (21961115)
Impact Factor Journal of Big Data Impact Factor
CiteScore Journal of Big Data CiteScore
Acceptance Rate Journal of Big Data Acceptance Rate
SCImago Journal Rank Journal of Big Data SJR (SCImago Journal Rank)

Calculation of "Journal of Big Data" 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 Journal of Big Data is calculated. Citescore’s calculation is easy with no secret algorithms or hidden details. The formula for calculation of CiteScore is

CiteScore in 2024 = No. of citations received in 2021-2024 to documents published in 2021-2024 / No. of documents published in 2021-2024

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 Journal of Big Data 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 Journal of Big Data is a very big deal for it.

The Journal of Big Data publishes high-quality, scholarly research papers, methodologies and case studies covering a broad range of topics, from big data analytics to data-intensive computing and all applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal more...





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